Category Archives: SaaS

SpendKey: Your Solution-Oriented Key to Spend Insights

Preamble:

As the doctor wrote on Spend Matters back in November of 2021, shortly after SpendKey‘s initial release, SpendKey was formed in 2020 by a senior team of Procurement and Spend Analysis professionals with experience at big consultancies (Deloitte, E&Y, etc.), big companies (Thomas Cook, Marks and Spencer, etc. ), big banks and Finance Institutions (Barclays, London Stock Exchange, etc.), and Managed Service Providers (Cloudaeon, Zensar Technologies, etc.) who identified a market need for faster, more accurate data processing and better analytics across the board as well as better expert advice and guidance to accompany those analytics to help companies make quick and optimal decisions to get on the right track the first time around.

After less than a year and a half of development, their initial service-based offering was already sufficient for turn-key consultant led projects and their roadmap had them on track for a completely stand-alone SaaS offering by 2023, which they delivered to the market last year.

So where are they now and what do they do? That’s what we’ll dive into in this article.

Introduction:

SpendKey has evolved from a dashboard driven spend analysis solution to a comprehensive spend, contract tracking and decision intelligence platform with a mission to provide deep insight for sourcing and procurement.

SpendKey‘s unique selling proposition is its ability to index every part, product, services and vendor with context. The product ontology and interoperability creates relationships with any attribute; providing end-to-end visibility; and a data foundation for autonomous workflows (on the roadmap), which can currently be used to power a client’s existing stack.

The SpendKey platform supports the creation of customized reports tailored to client-specific requirements. With a wide array of out-of-the-box dynamic dashboards, SpendKey offers standard insights into spend across categories and suppliers. These dashboards are augmented with advanced analysis tools like ABC analysis, trend analysis, Pareto analysis, Inside/Outside evaluations, order-to-actual correlations, and what-if scenarios, delivering a full-spectrum view of spending.

In addition to its customizable options, SpendKey provides a variety of standard reports to analyse spend, costs, goods, services, and information flows. The platform includes pre-defined reports that cover essential areas of spend analysis with customization for every client need.

SpendKey’s reporting suite has been expanded to include contract reports, budgeting reports, and dynamic MIS reports, offering a comprehensive toolkit for monitoring and optimising spend.
These tools were designed by procurement experts with decades of experience in spend analysis, ensuring that organizations can identify opportunities to not only reduce costs but also enhance overall efficiency and profitability.

SpendKey has an advanced spend-intake process that maps all of an organisation’s spend to any taxonomy (which can be theirs, yours, or a hybrid) using a multi-stage hybrid mapping process that uses known mappings, AI, human corrections, and overrides that feedback into the next mapping cycle. Once the client has worked with SpendKey to do the initial spend upload and mapping, the client can subscribe to incremental updates (that will be handled fully by SpendKey) or do self-serve via file-based incremental uploads.

So, if you read the initial analysis, what’s new?

  • improved data intake pipeline (which increases auto-mapping completeness and shortens the intake cycle)
  • project tracking
  • budget approvals
  • document analytics (and contract tracking)
  • commitments, budgets, and actuals comparison capability
  • ability to index parts, products, and services
  • line item auditability and more security controls
  • more spend sources
  • new dashboards

And what hasn’t changed (much)?

  • still no DIY (do-it-yourself) report builder
  • limited mapping audit access through the front end

And we’ll talk about each of these in turn.

Data Intake Pipeline

The data-intake pipeline is multi-step and works something like this:

1. Upload a raw data file in CSV or Excel or integrate via API

2. Validate the file against column descriptions, data formats, and language requirements (auto-translating to English if required) and apply any necessary transformations and cleansings to create records for classifications.

3. Run the current corpus of mapping rules.

3a. Push the mapped data into the live spend database.

3b. Package the unmapped transactions for web-processing.

4. Extract the supplier, product, and related information and use web-scraping (including Gen-AI models) to extract supplier and line of business information that can be used for classification.

5. Create suggested mappings where there is sufficient confidence for a human to review.

6. Push the verified mappings into the mapping rules and then retrain the machine learning on the new corpus of mapping rules to map the remaining unmapped spend and push through anything with sufficient confidence to the live system, having a human deal with the rest (or push it to an unclassified bucket).

By using multiple techniques, they are able to get to a high accuracy very quickly and turn around the client’s spend cube rather quickly compared to most consultancies using traditional methodologies. For even their largest clients, they are typically live with high mapping accuracy within 10 days.

Project Tracking

When an analyst or buyer identifies a potential savings project, they can record their find/proposal in the tool, get approval, track status, and keep stakeholders informed. All they need to do to define a project (for tracking) is to define the item or category, supplier(s), aggregated spend amount, project period, project type, and expected savings. They can add custom organizational tags or note key stakeholders if required, and then send it off for approval. Once approved, they just have to update the status and savings-to-date on a regular basis until the project is complete.

It’s not meant to be a project management tool, since most of the projects will be sourcing, procurement, contract, or other events or processes managed by other tools, just a tracking tool to track usage of the platform as well as approvals on projects before buyers or analysts go off on their own savings goose chases.

Budget and Forecasting Management

Budgeting and forecasting are pivotal components of financial management that empower businesses to plan, manage resources effectively, and navigate toward strategic goals. SpendKey platform offers advanced budgeting and forecasting tools for the financial year ahead. With predefined templates for easy budget setup, bulk data upload and download capabilities, and the option to assign specific budgets to each supplier.

SpendKey’s budget management module has specific processes for classification and mapping of the budget and spend data, aligning budget allocations with actual spend patterns. It empowers users with advanced budgeting and forecasting functionalities. With comprehensive reports, a user-friendly interface, and the ability to create, manage, and analyse budgets, users can make well-informed financial decisions. SpendKey enables users to optimise their budget allocations, monitor variances, and gain valuable insights for successful investment strategies.

Document Analytics

Spend Under Management is one of the ultimate keys to Procurement success, and this often requires a lot of Spend Under Contract to ensure supply and mitigate risk. This requires understanding the spend under contract, which requires that the contract meta data be stored in the system. As well as contract prices (to track agreed upon to invoiced to paid).

But no one wants to enter meta-data, so they built a machine learning and document analytics application that can automatically parse documents, identify key meta data, extract price tables, and present it to a human for final verification before the data is stored in the system.

The analytics can also be used on POs and invoices for verification purposes, and the user can decide whether or not to store that data in the system (or associated it with contracts).

More Spend Sources

Not only do they now support contract meta-data and contracted prices, but they also support the upload of asset-based data (for an organization to analyze the current and future value of organizational assets), payroll data (since that’s a significant amount of organizational spend), contingent workforce management data (to track services / contingent worker spend), and PO data in addition to AP data (which is the typical data source analyzed by simple “analytics” applications). In addition, if available, they will also load ESG Ranking data.

Their goal is to allow a complete understanding of organizational spend from budget to commitment to ordered to received to paid to projection using both standard cash views as well as amortization, accrual, and projected spend views.

New Dashboards

There are a slew of new dashboards, which include, but are not limited to:

  • Incliner/Decliner: highlights suppliers with increased or decreased spend compared to a user defined period
  • Contract Overview: provides analytics on different type of contract documents types, their expiry date, contract length
  • Contract Details: navigate and review the summary of data for each contract and the ability to view the respective contract
  • End-to-End Visibility: connects data from spend, contract, budget and other systems to provide end to end visibility e.g. spend vs budget vs contracted spend
  • ESG Summary: provides insights ESG score by suppliers and their relevant spend, including average ESG rating by industry and analytics on performance on each of the E, S and G areas
  • ESG Supplier Ranking: provides insights into ESG ranking for each individual supplier
  • Budget Overview: provides an overview of budget allocation and spending trends, highlighting key variances between actual spend and budget across different suppliers and categories.
  • Budget by Category: shows Budget by Category breakdown, displaying spend, budget, and variances across different levels of categories and suppliers
  • Budget by Suppliers: highlights spend, budget, and variance for key suppliers, along with an overall budget variance by category
  • Budget Distribution: shows the distribution of spend, budget, and variance across different transaction brackets, along with the corresponding transaction counts
  • Budget Detail: details supplier-specific budget, spend, and variance, including non-PO spend and transaction counts
  • Supplier Reclassification: allows you to reclassify supplier spend into a different taxonomy
  • Supplier Fragmentation: allows you to to track the number of suppliers in any category or subcategory
  • Key Insights: presents key spend insights, highlighting potential savings, category spend, new suppliers, and contract renewal dates

Add these to the existing dashboards that include, but are not limited to:

  • Main Dashboard : provides an overview of the spend across all categories of spend
  • Category Breakdown : enables the user to drill deep into any category and sub-category of spend to get deeper insights
  • Contract Kanban View : summarizes contract expiry in a kanban view to help identify contracts and suppliers to prioritise for renegotiations
  • MIS Dashboard: provides the user the ability to create their own pivot style report by connecting different data sets to generate views that were not available before
  • PO vs Non PO Analysis : provides an overview of spend compliant with purchase orders
  • Reseller Insights : provides insights to understand purchase of products from resellers
  • Savings Opportunity : provides ability to get a quick high level business case on potential savings based on certain user defined parameters.
  • Spend Summary : provides a narrative on the spend
  • Spend By Country : provides a summary of spend by different geographies and the ability to drill further by country
  • Spend Distribution : provides insights on spend by different transaction brackets to help identify low value low risk spend and suppliers
  • Spend Detail : provides view of the raw data and the enrichment from SpendKey to this raw data at the individual transaction level
  • Spend by Category : provides insights for each category and the relevant sub-categories based on the defined taxonomy tree
  • Supplier Hierarchy : provides insights at supplier level to help understand the parent and all the relevant child entities under that parent
  • Supplier Performance : provides a summary on the reduction in supplier count post data cleansing and supplier normalization
  • Supplier Segmentation : provides the ability to segment or tag a supplier based on user preferences
  • Tail Spend : provides insights and summary into tail spend (bottom 20% to 40% of the spend)
  • What-If : gives the user the ability to try different permutations and combinations of parts/products/services to understand potential savings opportunities
  • IT OPEX Budget : provides the user with the ability to view budget at supplier level or by category or cost centre, material code, etc.
  • Set Budget : provides ability to a user to set and define budget for a user-defined period
  • Forex Rate : gives the user option to set the FX rates for various currencies for a defined date range / period to enable the platform to convert all transactions into the base currency based on your company’s defined FX rates
  • Key Management : this provides the user with the ability to set distribution keys for spend allocation to business units, departments, functions etc. to help calculate recharge
  • Project Tracker : provides the ability to the user to create projects such as savings initiatives and track them in the tool. Also provides a workflow for approval of project milestones such as delivering on your savings targets.
  • User Management : allows the administrator to add new users and define their access control

And it’s a fairly extensive offering for an organization looking for a services-oriented solution to give them insights out of the box.

No DIY Report Builder

Now, companies looking for a services-oriented spend analysis solution aren’t looking for DIY initially, but as they mature in spend analysis, they will likely want the ability to modify the dashboards and reports on their own, which is baseline DIY. As they continue to mature, a few organizations will eventually want to start building their own reports and views, so it’s important that DIY is on the roadmap for an organization looking to mature in their analytics capability over time.

Limited Mapping Audit Access through the Front End

In the backend, they keep a complete audit trail of how and why every transaction was mapped where it was mapped. In the front end every single edit and amend that is made by a user is logged, along with supported commentary by the user. However, when a user goes to edit and amend a mapping in the front end, she doesn’t know if a transaction was initially mapped by rule, SpendKey‘s home-grown self-trained AI, or Gen-AI, and whether or not there was ever a human in the loop.

It’s critical that this data be pushed through to the front end because, among other things,

  1. there will always be someone who questions a mapping,
  2. when that happens, you need to know how it was mapped, and
  3. you need to know the ratio of human vs AI mapping in a category for confidence.

As of now, users can reclassify transactions within the tool, so if there is an error, they can push that to the admin or a “parking lot” for review, where, if the admin agrees, it can be pushed straight to the back end.

Showing who, or what, (initially) mapped the data, and why, in the front end is on the roadmap, and hopefully it appears sooner than later.

Summary

All-in-all, SpendKey is definitely a solution you should be looking at if you are a mid-market (plus) in the UK/Western Europe looking for a services-oriented spend analysis solution to help you analyze your spending and come up with strategies to get it under control.

Is Your Potential Vendor a Dead Company Walking? Part 2

In Part 1 we reminded you that our space is filling up with dumb companies and that this number, at least in the view of the doctor, is likely at an all time high.

We also reminded you that the doctor believes that your favourite vendor likely won’t be around, or at least not in it’s current form, within two years (or less), as he’s predicting a failure rate of 20% (or more); which, while it sounds pretty significant, is actually a mild prediction compared to THE REVELATOR‘s bold prediction that 75% of companies won’t be around, or at least not in their current form, within 18 months. Wow!

Why? First of all, as highlighted in the doctor‘s revised Dumb Company article, the companies that are (finally) starting to panic (internally) are starting to make the classic mistakes that often signal the beginning of the end.

Secondly, they have been, or are starting to, make the Dead Company mistakes, first highlighted by the doctor in December, 2008, as well as some scary new mistakes that weren’t as common, or that were overlooked by the doctor, sixteen years ago.

And while we can’t compile an exhaustive list for a number of reasons, as per Part 1, we can identify a number of common mistakes that companies who are dead companies walking tend to make (in the final days, even though they don’t always know it’s the final days yet). So if you see these mistakes in spades as a buying organization, best to steer clear until the ship is righted (assuming the vendor recognizes they are off course before it is too late and takes action). (You don’t want to go down with a sinking ship!)

In Part 1, we identified the first six common mistakes we are seeing too often. Today, we identify the next six.

Buzz and Sound Bites are more important than timeless educational content

As the doctor has been lamenting for months and months, the marketing madness is apparently at an all time high, buzzwords have replaced meaningful messages, and the hogwash doesn’t convey any useful information a prospective buyer can use to figure out what the product actually does! (And that’s one of the major causes of the current Procurement Stink, as we hinted at in this article about the Vendor Contribution to the Procurement Stink.)

Sure the hype gets attention (which is why Gartner latched onto the hype cycle in place of research that would actually be usable by mid-size and larger companies looking for solutions they could implement to run their business reliably for years, if not decades). It’s not easy to get those 150K+ POs, so you better make the end product sound cool!

So if all your research uncovers is buzzwords, sound bites, and hogwash, then you best stay clear of that vendor. As THE PROPHET has stated, M&A is about to make a comeback and the best you can hope for is that they get bought and merged.

If there is interest, your product is the solution

Not only is the doctor seeing too much rapid fire sound bite marketing to see what sticks in the marketers equivalent of throwing pasta against the wall, doubling down on whatever is getting the mot interest, assuming that their solution is the perfect solution for whatever they sold and, finally, assuming that any organization that contacts them is a potential customer and that their product will be the solution, no matter who the organization is, what the organization needs, or what their product actually does.

In short, they are adopting the Big X consulting playbook, everyone’s a client, sell whatever they can, then hope they can figure out how to deliver later. But they are not consulting firms, they don’t have a suite of third party vendors they can proffer up, and they certainly don’t have the budget or bench to build custom solutions on the fly.

So if the first thing you get to an inquiry off of a sound-bite marketing advert is a hard sell, take a hard pass. A good vendor learns about you and your problems before proffering up a potential solution.

Sales is about numbers, not solutions

As outlined in detail in our recent article on why are there so many tech failures, at the majority of tech enterprises:

  • sales people are compensated on how much they sell, not how successful the solution is for the customer
  • sales people are pressured to hit numbers, or be cut if they have even ONE quarter in the bottom 10% of performers
  • sales people don’t stick around long enough for success to matter

There’s a reason that THE REVELATOR has outright stated in a recent article that after 40-plus years, I say this with the deepest sincerity -– 90% of salespeople aren’t worth the gum stuck on the bottom of a shoe, and that’s because the majority of them are just focussed on selling, not on actually solving a customer’s problem.

If the sales person is rushed to sell, keeps making one time offers that expire at the end of the quarter, or promises rapid returns without a detailed use case analysis, you can be sure they only care about getting your cash in the door, not about whether or not the solution can actually solve any of your problems.

Any temporary price cut to get those initial clients can be made up later!

When times start to get desperate, that’s when desperate organizations that know they need to sign customers now to keep the investors happy (including the venture capitalists and private equity investors) will offer “a few select marquis organizations an initial discount in exchange for joint press releases, quotes, case studies, and marketing sound-bites“, thinking that they can satiate the investors for a while by telling them that those success stories will allow the organization to jack the prices further and that they’ll be able to jack prices considerably at renewal time because of “all the added value” they will have built by then.

However, investors are not dumb and not going to fall for the “price cut now will lead to riches later”, because they’ve seen that fallacy over and over again (and they know that the prices never go back up). Plus, if the solution is really worth 1 Million, there’s no way any successful vendor is going to give you an introductory rate of 100K for a “case study and positive recommendation”. That’s a big red flag for any organization looking for a vendor with a successful solution.

Our tech works, any failure is the result of the implementation team/org

Going back to our recent article on why are there so many tech failures, we noted that one of the primary reasons there are so many tech failures is that, as also noted above, sales people are being forced to sell at any cost. And the reason that even those with a conscience can do this is because they have been told the solution can be adapted and customized as needed, and if it doesn’t work, then it’s the fault of the third party consulting partner’s implementation team for screwing it up.

But that’s bullcr@p, and you know it! First of all, it’s the vendor’s responsibility for selecting their partners as much as it is the partner’s responsibility for recommending the vendor. Secondly, even if the vendor has vetted the partner and assured that they are good people, it is still the vendor’s responsibility to train the partner’s people on their solution, implementation requirements, and best practices. Thirdly, and most importantly, it is the vendor’s responsibility to ensure they don’t make any promises the tech can’t keep, as well as insuring that any customer referrals don’t come with unrealistic expectations. (Heightened is okay if the vendor is willing to put the extra work in, but it must be within the realm of possibility with the current solution … not a future roadmap that may never materialize.)

We know what we’re doing

Just because a founder ran a Procurement Department or convinced an investment firm he knows how to run a company, that doesn’t mean he actually does, especially if it’s his first time. And it doesn’t matter how fast he can learn, how smart he is, how good he can sell, or how charismatic he is. Startup success requires a suite of critical skill sets (which are outlined in Garry Mansell’s Simplify to Succeed), each of which takes years to learn and sometimes a lifetime to master. You can’t wait to learn what you needed to do yesterday. Selling investors is not like selling Procurement technology buyers. And charisma only gets you in the door, on the stage, or an interview with Mr. X himself. It doesn’t necessarily get you the signature, the return invite, or the limelight.

This results in two major mistakes. Unless the founders raised (way) too much money and are under pressure from the investors to put a proper management team in place, they’ll go too light on real operational management (and sometimes marketing management, opting for the attention seeking sound-biters over the steady-state educationally focussed marketers that hook real customers with real problems the vendor’s solution might actually solve), thinking that all they need are a few rock-star developers, a sound-bite marketer, and aggressive sales people. Which isn’t a complete team and not a complete recipe for success.

The next mistake is believing they can do everything in house, and that they “don’t need no advice from no one“. Not other founders (including those who failed once or twice and know what not to do). Not consultants, who specialize in startups and helping companies operate successfully. Not analysts, who’ve seen hundreds of companies come and go (and seen the commonalities in successful solutions and successful companies). And definitely not independent Procurement technology experts who’ve had 20+ years in the space and seen thousands of companies come and go over the decades (and analyzed hundreds and hundreds in detail).

In the mid to late 2000s, even the above average companies, who (in hindsight) probably didn’t need any help, would look for any expert they could find with a decade of experience to help them survive the (coming) downturn (which came, as it always does), improve their solution offering, and grow. Today, a significant percentage of the new generation of founders, high on raising ridiculous amounts of early stage (often pre-beta) funding, running companies making a significant number of dumb company and dead company mistakes, won’t even consider that a third party with a decade or more of experience on them in the space could actually help them.

And while this is a hard mistake to tell directly (as the smart companies won’t necessarily disclose the experts they are working with to give them an edge), if you pay attention to their messages, their speech, and their words, you’ll get some indirect hints as to where the egos might still be too inflated for the company to see success (and you can hence identify it as a company that needs to be evaluated against the dumb company and dead company walking checklists). Phrases such as “I was a buyer for F500 for years managing $B categories“, “We raised 100M because our investors know that we know what the next generation of tech is“, “I’m not a sales guy, I’m a practitioner like you“, “Don’t worry, we know what you need” even before they’ve even asked a single question about your problems and reason for reaching out, etc.

Before we conclude we’d like to again remind you that this is not a complete list of mistakes soon to be dead companies often make, but a starting list of red flags you should look for as a potential buyer of their solutions. There are real, solid, solutions out there from real, solid, vendors who care about your success and who will likely survive the coming implosion. You might have to look quite hard to find them (especially if THE REVELATOR is right and 3/4 will not survive unscathed), but the effort will be worth it because the last thing you want is your solution to fall out from under you just after the implementation is complete.

(And it’s critical to remember that any deep solution is going to take multiple quarters to implement, especially if you need to collect, classify, cleanse, and map years of historical data from multiple systems. For a mini-suite, always expect six [6] to twelve [12] months as a mid-market, and more for a full suite. Yes, some functionality that doesn’t require historical data will be available day one, and other functionality that only requires a year or two of data to get going will be available day ninety one, but no solution with depth is going to be completely implemented in under a quarter. So the next time a vendor says they can do an end to end complete enterprise Procurement installation in 60 days, they don’t have anything deep besides a shiny faketake-to-nowhere UX or a wrapper on third party tech from a company that poses more risk than they do.)

Is Your Potential Vendor a Dead Company Walking? Part 1

Not long ago we noted that our space is filling up with dumb companies and that this number, at least in the view of the doctor, is likely at an all time high.

the doctor believes that your favourite vendor likely won’t be around, or at least not in it’s current form, within two years (or less), with the doctor predicting a failure rate of 20% (or more); which, while it sounds pretty significant, is actually a mild prediction compared to THE REVELATOR‘s bold prediction that 75% of companies won’t be around, or at least not in their current form, within 18 months. Wow!

Why? First of all, as highlighted in the doctor‘s revised Dumb Company article, the companies that are (finally) starting to panic (internally) are starting to make the classic mistakes that signal the beginning of the end. (Considering the marketing madness, the buzzword overload, and the hogwash still coming from the firehose, you wouldn’t know it yet, but early warning signs are starting to appear.)

Secondly, they have been, or are starting to, make the Dead Company mistakes, first highlighted by the doctor in December, 2008, as well as some scary new mistakes that weren’t as common, or that were overlooked by the doctor, sixteen years ago.

While there are a large number of mistakes, often with individual nuances, that vary from company to company, and an exhaustive list would be too long to digest (if it could even be compiled by one person), there are still a number of common mistakes that can be identified and the elimination of these, or at least an immediate course correction (as some mistakes can’t be undone) with respect to these mistakes, will go a long way to making sure that their company is not the next dead company walking. If you see these mistakes in spades as a buying organization, it’s probably best to steer clear until the ship is righted. (You don’t want to go down with a sinking ship!)

The top 12 the doctor is currently seeing are:

Too Many Assumptions, Too Few Verifications

Too many founders didn’t do their research, assumed that just because tool X they were forced to use at their last job didn’t do something then no tool did it, or assumed that because they were a buyer buying a few categories at one company in one industry they know what every buyer wants. And, thus, they know enough to design the tool that is going to take the Procurement world by storm! This is rarely the case. Especially if they only ever saw three potential solutions of the 40 to 200 that were out there (depending on the module they were looking for, see the Mega Map).

While it’s hard to tell what is in someone’s head, the words, directions (to the marketing and sales teams), and outputs (in terms of product) speak volumes. They tend to focus on how they were a buyer and know all the problems (without even asking about your problem), focus on user experience more than actual process or solution (look how easy it is for Bob to make a request on his phone and see a virtual avatar of Alice receiving it — woo hoo), and direct their marketing and sales team to sell sizzle, not steak.

A shiny exterior is more important than a modern engine

As hinted in our last point, too many founders today are too focussed on the UI and the UX, the “user experience” and not on the processes that the users actually have to do on a daily basis. As a result, while it may taste great to the eyes, it’s significantly less filling as an actual solution and leaves users wanting more, sometimes to the point where they quickly abandon the solution. As such, it doesn’t matter how quick that shiny new intake-to-orchestrate solution can be implemented if there isn’t actually a solid procurement capability backing it up that does more than allow an employee to make a request and see a shiny avatar of Alice saying “your request has been received”. If Alice can’t actually do the Procurement in tool, what good is it?

So if the “intake” demo stops with the intake, run to the hills, run for your lives! Of if when you ask them about a competitive functionality, all they talk about is the experience their solution offers, they don’t actually have deep capability.

Shiny new tech is more important than a tried-and-true methodology

At least 6 in 7 vendors have jumped on the AI-backed/AI-driven/AI-enabled/AI-enhanced/AI-powered bandwagon, even if they don’t have any AI at all and/or any AI that actually solves a real problem in a predictable, valuable fashion. Too many vendors are popping up with “intake”, which the doctor prefers to call “fake-take” solutions that, as per above, can take a request in a shiny web-based UX and then … do nothing with it, or, in the best case, act as an overpriced pay-per-view on your data!

The sad part about this situation is that a number of real, modern Procurement 2.0+ (and esp. 3.0+) applications have had “intake” built in since day one, like Vroozi that has had it since launch in 2013 and Eyvo that has had it since the mid 2010s. Even Coupa had intake support for catalog-based purchases when it launched on Procurement Independence Day in 2006 (and still does to a large extent, although the user-based pricing model does make it prohibitive for many organizations)! And when it comes to AI, the doctor has yet to see any new “AI” play offer any new capability that hasn’t existed, or been in development, since the last decade! (When the doctor did his AI in X today, tomorrow, and the day after tomorrow series for Procurement, Sourcing, Supplier Discovery, Supplier Management, and Optimization in 2018 and 2019 on Spend Matters. These are all still in the Content-Hub archives, so if you have access, check them out.) (Now, while the doctor will admit that Gen-AI can do conversational interactions better, and summarize larger bodies of documentation as it is a bigger model, that is about it … as it cannot do any task that requires basic logic or math, and thus just about any real Procurement task. Moreover, we have had semantic technology that has done a good job since the early 2010s! Sure it might have sounded a bit robotic at times, but it worked just fine.)

So if all the vendor talks about is buzzwords, find one that talks about how they solve your problem. At the end of the day, it is command line code executing on a server somewhere that solves your difficult business problems, not fancy UIs.

Over-reliance on third party tech is a sustainable business, especially if it’s (Gen-)AI

If a lot of your potential vendor’s functionality is dependent on yet another a new third party vendor (or offering that will be pulled if it causes the company to bleed money), what do you think is going to happen when it goes away? Nothing good, and that’s for certain. That’s why you want vendors who build real applications in languages supported on multiple platforms that use data stores supported by multiple vendors and cloud service providers. You don’t want a single point of external failure taking down your entire business. Especially when the third party tech has limited use (on its own) in the first place.

But way too many vendors are building these Gen-AI or intake-plus solutions first, which are totally reliant on third vendor tech that can destroy their company in an instant. And it doesn’t matter if they only build on big company tech from companies like Microsoft or Google that you know aren’t going out of business, because even these goliaths can, and will, end support for tech pretty fast if it’s not profitable. (And, if it looks like one day an application will be very profitable, cut your access to it to prevent competition with their new, inferior, in-house tech.) The fact of the matter is, they are Goliath 2.0 with full armour plating, a helmet no stone is getting through, and a legal team who will bankrupt you if you even try to fight them. So if they decide the tech is done, or at least your access to it is done, you’re done, and there’s nothing you can do. (the doctor has seen this multiple time and experienced this firsthand. And it doesn’t matter if your vendor has a signed agreement in hand, the Goliath’s legal team will find an out clause and that will be it for your vendor.)

So avoid these vendors like the plague. A vendor with great tech can still fail, but it’s not as likely to do so without a lot of early warning signs if it owns the tech and employs the people.

An innovation burst is enough, especially if it is disruptive

Another increasingly common mistake these dead companies walking make is thinking that once they have a shiny new piece of actual tech that they don’t think anyone else has (which is rarer than you think), they can slow down the pace of development and rev up marketing and sales. That’s the exact opposite of what needs to be done. If you want sustainability as a vendor, you need a big lead, not a small one that can, and will, be quickly replicated by the next startup that has the same idea and gets too much money (and is smart enough to, or lucks into, hir[e][ing] the best). Success as a vendor requires consistent product development for years, and the only reason R&D becomes a smaller percentage of the budget as time goes on is because, one the core module(s) of the product (suite) is (/are) ready for prime-time, marketing and sales spending starts increasing from 0, not because R&D spend decreases!

Make sure your potential vendor has a concrete, detailed roadmap for the next year and vision for the next three. Significant function-spanning developments take time, and vendors in it for the long haul realize that — and they start with the foundations first.

Too much investment, too soon, against an overly ambitious plan

This is one of the worst mistakes, and one we’re definitely seeing too much of recently. Too many companies getting tens, or hundreds, of millions of investment just because they are building intake-to-orchestrate or Gen-AI solutions, neither of which do anything on their own, and neither of which do anything significant without a lot of solid tech (and data) to back them up (for the use cases where they are good). In some cases, the investment is at stupid levels an there is no way the company is going to deliver on the investment to the expectations of the investors, which means that the company will likely be dropped faster than a hot potato when the coffers start running dry as a smart investment firm would rather eat a sunk cost than have an ongoing investment sink their entire fund. In the best case, they’ll be sold off to a bigger VC or PE (at a loss) who can right the sails and extract some value as part of a larger solution suite. In the worst case, the company will just be folded entirely.

So, before buying from any vendor, research their investment to sales ratio at investment time and now, and if they took 100M on 0, and still only have a handful of customers, that’s not a good sign … unless they are building to a very specific niche need with the intent to get them scooped up by a bigger player who needs to fill that hole, their chances of long term survival are slim to none.

 

These are just the first six mistakes we’re starting to see too often. Stay tuned for part two where we’ll go over the next six.

Want Procurement Technology Success? This is Your Anthem!

Show Don’t Tell by Rush

From now on, when you are contacted by a vendor, the first thing(s) you do is

  • refuse to listen to (or read) any marketing material, especially if they use any buzzwords (and, in fact, point out the minute they say one that you will hang up on them if they say it, or a prepared list of buzzwords you keep beside your phone, because it’s all Hogwash)
  • refuse to review any “case studies” until you see the solution in action, and even then refuse them unless they contain hard numbers based on standard metrics that you can compute yourself pre- and post-implementation (a client stating they saw “significant” savings is NOT a case study, it’s hearsay)
  • refuse their pre-recorded / scripted 30 minute intro demo until they tell you, in plain English, what problems their platform solves and why they think it will help you (and maybe even ensure the contract they will ask you to sign is also in plain English)

Once the vendor tells you:

  • what procurement problems and pain points their platform solves
  • how it does it (no techno-babble bullcr@p, plain English; no mention of AI, and definitely no mention of Gen-AI [which is bad for Procurement] because if it uses real ML then they can tell you what algorithms they use, and what confidence you can have based on what level of data is available)
  • and why the vendor is the right vendor to deliver the solution to you

Then you agree to a demo that covers the specific pain points you want addressed, provided that, if you like what you see, you can take it for a test drive. Nothing stops a true multi-tenant SaaS solution provider from spinning up a sandbox instance for you to play with, at zero cost, as it should literally be the flick of a switch (or letting you run one real sourcing event at a trial cost). The only significant charge should be if you want to see it in action on your data, in which case you should be prepared to pay a standard daily consulting rate to load your data (but, to be honest, you shouldn’t do this until you are sure the vendor is going to be the finalist, or the runner up, in your selection process as a final step, since a test drive on standard dummy data will illuminate most of the functionality supported).

You need to see a platform in action to understand if you can, and will, use it to solve your problems.

So, if it isn’t already, your new mantra for procurement software solution providers is Show Don’t Tell!

Craft Category Strategy Like a Chief with akirolabs

As much as many vendors and consultancies would like to tell you that category strategy selection can be automated whenever you need to kick off a new sourcing cycle, because “it just depends on the supply vs demand imbalance and based on that you either do an auction (if [way] more supply than demand), do an RFP (about balanced), or renegotiate with the incumbent for a contract extension (if there is [projected to be] a lack of supply)“, that’s simply NOT the case, especially for highly strategic, specialized, or evolving categories.

The reality is that category strategy depends on much, much more than this. Factors it depends on include, but are not limited to:

  • supply vs demand
  • current and projected spend
  • current relationships
  • innovation requirements
  • environmental requirements
  • industry and regulatory requirements
  • risk factors
  • regional differences between source / make / sink
  • etc. etc. etc.

That’s why we have so many methodologies to arrive at a strategy including, but not limited to:

  • Porter’s 5 forces
  • Kraljic Matrix
  • SWOT
  • PESTLE
  • etc.

All of which serve a purpose and give us insights, but none of which actually give us a strategy. Consider Porter’s five forces — it provides insights into the current market, but then we decide what to do with that. Consider the Kraljic Matrix. It tells us whether an item is non-critical, bottleneck, leverage, or strategic based on an analysis of risk/complexity vs. profit impact, but we still have to decide what strategy to use, and, more importantly, how to evaluate the responses based on non-price factors that are also important to us (such as supply assurance, carbon / GHG reduction, etc.). SWOT helps us identify the responses, but we still need a strategy to evaluate them against. PESTLE is one of the more complete analyses of external factors encompassing Political, Economic, Sociological, Technological, Legal and Environmental factors, but you still have to build a strategy on that.

Plus, it’s not just the external factors these methodologies are based on that’s relevant. It’s internal factors that include, but are not limited to:

  • current and projected category spend
  • current relationships
  • organizational culture and process
  • organizational direction and goals
  • stakeholder needs
  • etc.

All of this needs to be considered simultaneously with the external factors and analytic methodologies described above in order to arrive at a proper, acceptable, and executable strategy — and a strategy is not a strategy if it is not:

  • proper : an inappropriate strategy will NOT lead the desired results
  • acceptable : if the stakeholders don’t buy in, your project won’t go anywhere, and you may have to start over (or just continue with the status quo)
  • executable : a strategy that doesn’t provide actionable guidance cannot be executed and isn’t really a strategy at all

And that’s what akirolabs, challenging the 40-year old Kraljic matrix as the de-facto standard in category management, is building — an augmented intelligence (because they fully realize that no Artificially Idiotic technology can ever do something that requires real human intelligence and experience) solution that helps category managers build proper, acceptable, and executable strategies and do so in weeks, not months, and see the results in months, not quarters.

The akirolab platform guides you through an analyze/strategize/realize process where it helps a category manager, or management team in a larger organization, collaboratively analyze the company and market factors, develop a strategy based on value levers and strategic scenario modelling, and then realize the strategy using the project and performance management capabilities (not found in most strategic sourcing applications).

In the Analyze phase, the company pulls in the following company data:

  • current spend (it just pulls in your current spend cube in a frame; it’s only volume tier and trend that’s relevant for strategy, not minutiae transaction details)
  • current budget (based upon projections)
  • current contracts (which formalize relationships)
  • stakeholder mapping (who is involved, and how)
  • strategy & requirements survey (what do the stakeholders need, why, and what are their goals and concerns)

… and the following market data …

  • market intel – articles, studies, white papers, etc. found by an appropriately trained semantic search engine
  • innovation factors and data
  • cost drivers relevant for the category
  • risks and associated data
  • supplier preferences (based upon relationships, innovation, and supplier risks)

… and then completes the following analyses, with the help of the akirolabs platform:

  • Porter’s Five Forces — where the category team scores and ranks the relevant factors in each force (which can be seeded from market data using the AI if enough data is available)
  • Kraljic Matrix — where the category team evaluates the risk/complexity vs. cost (and where the platform can suggest risk/complexity based upon available market intelligence, risk data, and innovation factors)
  • PESTLE — where the category management team can complete a full PESTLE analysis using all of the available data and the aforementioned Porter’s Five Forces and Kraljic Matrix
  • SWOT — where all of the above is fused into a category SWOT analysis

And the best part about its analyze capabilities is that the strategies can be analyzed by region (or by department if each department has different needs and/or goals for the products in the category), scored and weighted separately, and then overlaid visually (using a spider graph in the case of Porter’s Five Forces) to allow a team to see the average as well as the regional, departmental, etc. differentiations.

Another unique feature is its approach to SWOT. For each quadrant, they define key questions and key parameters to ensure that the analysis is done consistently (and comparably) across categories, and to ensure that the category management team collects the right information in order to generate a good strategy.

In the Strategize phase, the category management team identifies the value levers and then creates a strategy using Strategic Scenario Modelling. Using the akirolabs strategic scenario modelling capability, a category team can build a strategy that balances cost savings, sustainability, supply chain resilience, procurement agility, innovation, quality, regulatory requirements, and growth potential by evaluating multiple scenarios inspired by the market analysis in the analyze phase. These can be overlaid graphically to provide a visual comparison of the strengths and weaknesses of different scenarios.

They can pull in the relevant information from the analyze phase, and define the strategy that will be applied as well as their reasoning as to why, backed up by all of the relevant analysis and data. They can then create Executive summaries for each executive (CEO, CFO, COO, CIO, etc.) that explains the strategy, rationale, and expected results. The platform allows the team to create standard report templates by function and makes it super easy to pull in the relevant data and graphs that explains and supports the decision.

And all of this can be done collaboratively, as it was designed to allow all stakeholders to answer the survey and all team members to work together to collect the data, associate it with the appropriate analysis, score appropriately, and collaborate on the strategy using the built in messaging platform.

Finally, as part of the Strategize phase, a category management team can assess the sustainability of the scenarios using their “Procurement with Purpose” view that assess the strategy against each of the 17 interlinked Sustainable Development Goals of the United Nations.

Once the strategy has been defined and accepted, the category management team can create a project plan and track it in the “Project and Performance Management”. They can track the stages and activities, timelines, responsibilities, status, assigned value category, expected financial effect, forecasted financial benefit, etc.

If this sounds good to you, you’re probably one of the target customers, that fall into three categories where they can provide you with great value (4.4x as per their claim):

  1. Mature Procurement Organizations: leaders (under analyst frameworks) or best-in-class (under the Hackett numbers) organizations that are high on the maturity ladder and that are looking to go beyond savings and expand the core business
  2. Maturing, But Fragmented, Procuring Organizations: average to average-plus maturity, but no centre of excellence, no history of formally captured category strategy development, and little experience bringing stakeholders together across regions and departments (leading to fragmented category events)
  3. Immature, but Growing: and, most importantly, ready to invest the time and effort to formally mature as a Procurement organization by embracing a world-class methodology and platform to jump-start their efforts and success

And if you’re still on the fence, it doesn’t just support traditional “Category” strategy. It also supports “Beyond Category” for organizations that want to use it for supply chain design, logistics & warehousing, sustainability improvements, etc. Not just traditional material or procurement hierarchy categories. And that’s a differentiator. If any of this sounds good to you, be sure to check akirolabs out.