Author Archives: thedoctor

Tonkean: Making Enterprise Procurement work with ProcurementWorks, Part 1

Tonkean was founded in 2015 to transform the enterprise back office. Tonkean leverages smart technology to bring people, process, and technology together in a manner that revolutionizes how businesses operate, allowing people to focus on high value work that gets results, and not redundant data processing, unnecessary application usage (which requires unnecessary training and unnecessary time), or unnecessary emails. One of the big problems Tonkean saw with traditional enterprise systems is that anyone who didn’t need to use the system daily was resistant to learning yet another system they saw as difficult or cumbersome (which applied to any system that didn’t use their terminology), adoption was a major problem, and employees would constantly look for ways to circumvent the system. Tonkean’s goal was to solve the adoption problem by providing users a superior intake experience, that could be as simple as a standard form-based or natural language interface like they’d find on the web, that didn’t require any training and that helped these employees make their requests through official channels instead of sneaking through back doors and dark hallways.

After a few custom projects, they found an initial niche in the Legal department and created Tonkean LegalWorks to help Legal Teams with legal mail routing, legal matter intake, matter lifecycle management, legal discipline and category classification, conflict waiver processing, law firm onboarding, contract routing and review, and even legal risk monitoring. It brought together the systems used by Legal (email, word processors, specialized Legal Billing Management solution, etc.), any risk and compliance applications they use to ensure their lawyers and firms dot all the ies and cross all the tees they need to take on every case and practice in every state they are taking legal matters in, and any other enterprise applications the team used to work and communicate internally (Slack, Teams, etc.).

And while we’re not here to discuss LegalWorks, it is through the development of LegalWorks that they learned how to bridge the gap between people, process, and technology in a in a way that empowered their clients to spend more time on strategic (legal) work instead of redundant data entry and system usage, get more value out of the tools they already purchased, and be more productive and satisfied with their technology. They learned how to enable a department to use the tools they have in ways that went beyond the original use cases, and learned they could do more and set out to identify where the biggest needs were and where they could do more. And once they found Procurement, and realized that Procurement had a lot of the same challenges as Legal, but considerably more amplified (with more systems, more complexity, and higher stakes), they knew they had found an area where they could provide their enterprise clients with the most value (and especially those that were using the major S2P suites but getting low utilization rates due to lack of intake support and a lack of integration with other internal systems).

When investigating Procurement in their enterprise customers, they found that while the major suites were reasonably suited for, and well used by, the Procurement team in strategic projects, they weren’t used much in tactical purchasing, especially in tail spend, as most of the organizational users found the system too complicated and bypassed it whenever possible (as the P2P tool lives on the long tail of enterprise applications of choice for the average enterprise employee).

So, as with some of the new breed of vendors who started specifically with the goal of Procurement intake and/or orchestration, one of their first goals was to help their Enterprise customers get more value out of their big S2P suites (and Ariba and Coupa in particular; for example, they have Intake Orchestration for Ariba and the Coupa Intake Experience to help the organization route all indirect spend, no matter how far down the tail, through Ariba or Coupa). While that’s where they are still focussed (given their current Enterprise customer base), they’ve expanded their ProcurementWorks to be a full Procurement lifecycle orchestration solution, from intake to resolution, regardless of what solutions the customers have or don’t have, what enterprise applications the teams use to communicate, what external catalogs or data sources they need to integrate with, and what policies and procedures need to be followed. In this way, ProcurementWorks is a system-agnostic solution that wraps around the customer’s existing process and applications to orchestrate and better coordinate that process.

However, one major difference is that, to Tonkean, full orchestration means creating a solution that solves all of the Procurement related problems an organization’s employees have, not just Procurement requisitions or catalog buying. That means answering all of their Procurement related questions in addition to taking their product and service requests, guiding them to the right systems if needed, or being the one interface of choice if Tonkean can be that. That means a much smarter intake process that can take any Procurement related natural language request, interface with all of the organizational data sources, and provide an appropriate answer.

For Tonkean, that starts with a smart AI interface, that they call the AI Front Door. The AI Front Door, unlike many other LLM-based products, is not just ChatGPT in a shiny wrapper, but a hybrid solution based on in-house engineering, the client organization’s preferred LLM, and knowledge systems owned by the client. It’s a very sophisticated “chatbot” compared to most offerings on the market, a technical definition would be very extensive (and lose non-PhDs), but we can illustrate much of the uniqueness of the capability with a high level overview and an example or four.

For example, when a user inputs a request, the general approach the system takes is:

  • use their AI to process the question for the type, intent, and goal
    and inform the user if they have no information (or are unable to process it) while simultaneously
    redirecting any unanswerable query to a human expert for review
  • use internal, trusted, knowledge bases to get initial information and potential answers
  • feed the question, processed clarification, and internally retrieved knowledge into the organization’s LLM to provide Natural Language feedback to the user, which could be the answer, or a refinement question if ambiguity existed in the question or potential answers from organizational data sources, which causes (an extension of) this 3-step loop to repeat
  • verify the response is sensible before presenting to the user (and, if not confident, route to a human for feedback for future internal Tonkean model training while informing the user no relevant information can be found)

Thus, if the user asks if there is an agreement with Vendor V:

  • their AI Front Door will process the query and determine that the user is asking if there is a signed contractual agreement with Vendor V that is currently active, and potentially what that agreement is
  • create the appropriate queries for each organizational system that stores contracts and agreements
  • take the responses and construct a carefully engineered prompt for the LLM that will return an answer indicating if there are agreements, and, if so, what they are and where they can be found (possibly including a direct link if the document can be accessed through the Tonkean platform)

If the user asks if she can purchase a license for SaaS app S:

  • their AI Front Door processes the request, determines that the user wants to make a purchase, it falls in the software category, and asks a few clarifying questions about the type and purpose of the product and, if it discovers the organization already has a license for a tool of that type, asks why the other tool won’t do
  • the system takes the responses and prompts the user with a link to launch a purchase request, where the system then pre-populates key fields of the organization’s software license purchase request form based on its learnings from the AI Front Door interaction and data attributes from other relevant systems (such as budget information in the ERP)
  • the system bundles the appropriate information and prompts the LLM to create grammatically correct responses that not only explain the request to the Procurement Buyer, but a Supplier if an RFP is required
  • the draft form is then presented to the user to verify, and one click puts it into the Procurement Request queue (where it can be accessed from the ProcurementWorks My Requests page at any time)

If the user asks for the procurement policy for SWAG for the marketing event she is attending:

  • their AI FrontDoor processes the requests and determines its a policy question
  • it creates the appropriate pattern match, DQL, or index query for each of the organization’s policy document data stores and collects the appropriate responses and documents
  • creates an appropriate prompt for the LLM that appropriately forms the question while asking the LLM to use only the inputs fed to it to create the response
  • ensures the response that comes back has a decent similarity to a subset of the text from the documents and then presents the natural language summary to the user

If the user asks the system for the results of the hockey game he missed working late:

  • the system processes the requests, realizes it doesn’t have that information (unless, of course, the enterprise is a sports news outfit), informs the user it doesn’t have that information and ends that interaction there

In other words, it’s built to be the central information source and jumping-off point for all types of inquiries and tasks a Procurement professional or employee with Procurement needs is likely to have, with the intent of cutting out 90% of unnecessary emails, texts, questions, and requests an augmented intelligence system can answer or guide a user through.

Moving on, the core of the Tonkean Intake Orchestration Platform that their Procurement solutions were built on is a workflow automation platform with extensive built in workflow customization, data integration, and form creation capability. In the platform, the customer can build forms (using a no-code form editor) they need to power any Procurement process (which can be created and modelled using a no-code process editor) they have, and customize them for requesters, buyers, risk & compliance, IT, or any other department as needed. They used this capability as the foundation not only for their Coupa Intake Experience and Intake Orchestration for SAP Ariba (as organizations never replace major investments, but innovative organizations look to improve and expand upon them), but their guided buying experience, supplier onboarding, and tail spend automation (among others).

One key differentiator is that any workflow can be updated at any time, something which is generally not possible in your traditional Procurement Suite such as Coupa, Ariba, and Jaggaer. For example, many of their customers now require an additional AI Review of any platform that uses AI to determine the nature of the AI and any direct and indirect risks in its proposed application to the business from a technical, legal, and brand perspective. For example, if the vendor is using Open Gen AI (such as ChatGPT), there are technical risks in that these platforms have been repeatedly demonstrated to have biased, harmful (and even murderous), hallucinatory, thieving, and sleeper behaviour. There are direct legal risks in that you could be sued (and on the hook) if the AI makes a recommendation that ends up causing personal or business harm, and indirect legal risks if the technology was trained on stolen data or data that contained copyrighted, illegal, or national secret material. There are brand risks if the Open Gen AI product you are using all of a sudden suffers extreme public backlash for its actions (or your software results in a decision that tanks shareholder value or increases environmental harm). However, they have found that most of the suites they work with do not yet have many of these new “standard” compliance checks in their relatively rigid product workflows (and telling their customers to just include it in the InfoSec review), which increases the likelihood a key check will be missed. [Considering the attention that AI is getting and the fact that legal frameworks will need to come soon, not the best idea for a large organization NOT to be assessing AI risks now.] However, with Tonkean, it takes minutes to add a compliance check and ensure it gets done by the right people before a decision is made on any Software purchase or use.

In our next article, we will dive deep into the major components of the Tonkean ProcurementWorks offering.

Last Friday Was International Women’s Day. You Made a Big Fuss. Well, What Did You Do This Week?

This is taken from a LinkedIn post the doctor posted on Monday, March 11. It’s being reposted here for those who don’t follow LinkedIn and because, as expected, he hasn’t heard a single peep from any organization that was spewing platitudes last Friday as if praise one day a year was doing enough.

If you truly celebrate women, then please tell me:

What are you doing TODAY to

  1. increase the number of women in Management, STEM, Executive Suites, and Investment Firms,
  2. close the pay gap that is still 15% to 30% across these areas,
  3. encourage women to join your company to pursue their career, and
  4. enable the work life balance they need to be AS or MORE successful than their male counterparts?

As most of you are probably well aware from the deluge of “we support and honour our female leaders who … ” posts on LinkedIn last Friday, International Women’s Day was last Friday (2024-Mar-08). I stayed silent, as usual, because I found the majority of them very upsetting.

While some of the posts were very sincere, and some came from individuals I know had the best of intentions:

  1. Lip service does nothing to address the four major issues above.
  2. The lip service I saw in some of these posts was about as meaningful as a token thank you card at the annual Christmas party.
  3. Few addressed the real issues women still face in “traditional” workspaces run, and dominated, by men.
  4. Those few that honoured teams with equal representation or greater, or at least statistically average representation (in companies in fields where women are currently only 25% of the workforce, like STEM) have done nothing to educate their peers on how important this is and how successful they are because of it.

If you are a leader in a company (with actual employees) that truly cares, then I challenge you to celebrate their achievements and capability every day, and once a month make a post on efforts your company is taking to increase the number of women, close the pay and rank gaps, and support their work life balance, either through hiring, training, support for community programs that do such or at least make a post on the stellar accomplishments they have accomplished that would put an average salesman to shame.

And to keep doing this until they have the equality, and the respect they deserve.

The simple facts are

  1. women are half the population,
  2. are just as capable of men (as there is NO difference between average IQ scores), and
  3. should be half the workforce.

If women are not half the workforce at your company (or at least not represented statistically in line with the average representation in the field your company is in), it’s not their lack of achievement, dear men, it’s yours!

Is Your Strategic Operational Sourcing Not Succinct Enough? Maybe You Need A DeepStream To Tackle That SOS Problem.

DeepStream is a Source-to-Contract (S2C) platform that was founded in 2016 in London, England to empower midsized organizations with affordable, modern, streamlined, but still sufficiently deep source-to-contract capability that would empower their customers to be more efficient, get more spend under management (and savings, or at least cost avoidance in today’s inflationary economy), and award with confidence.

DeepStream was founded by practitioners with experience, built with the guidance of expert consultants and industry leaders and beta customers, and overseen by former implementation consultants with a lot of experience implementing the S2C Mega-Suites (and who know all the issues customers have in implementing, integrating, and maintaining those systems as well as all the reasons they aren’t always the best solution for the mid-market) who are continually developing and improving the system over time.

While DeepStream is designed to very customizeable and very general purpose (and works great for indirect/finished goods and services in general), because it is impossible to be everything to everyone (even though the Big Suites will claim they are), especially from a consulting/guidance perspective, they are highly focussed on the industries their founders are experts in and related industries. Specifically, they are focussed heavily on Energy & Renewable Energy (and O&G), Utilities, MRO, Site/Port Operations, and Consultancies that support these sectors (be they public, private, or quasi — such as public funded, privately managed). (These are the sectors in which they have the process expertise to help you set up your category templates to streamline your sourcing efforts … more on this later.)

The platform started as a core sourcing platform (RFX and Auction), and evolved to support Supplier Information Management, Contract Management (primarily Governance in Sourcing Innovation Terminology), and now offers a public Supplier Network of almost 10,000 suppliers that grows daily (and significantly with every new client. This may sound small compared to the suite supplier networks that claim millions of suppliers, but you need to remember three things: 1] many of these mega-suite networks reach their number by simply importing every government business registry globally, and nowhere near that many suppliers are active in their customer base; 2] DeepStream are focussed on a particular set of sectors which don’t have a super large supply base, and all of their suppliers have been verified as active and being interacted with; and 3] DeepStream expects your ERP/MRP/P2P/AP to be the supplier master and advocates customers only import active suppliers).

Sourcing

Sourcing revolves around a templated event structure, which can be setup by a Full User, the DeepStream services team, or both. (On implementation they will work with you to setup one template per category, as that is their recommended best practice. They have found that trying to cover multiple categories with one template misses the nuances of the individual categories and requires too much customization for every event, and having multiple per category with only slight differences by product/service makes management and upkeep too much work.) These event templates don’t just capture the RFI/P/Q requests, but all stages, including, but not limited to NDA, Onboarding, Prequalification (which can be separate from the RFI to avoid repeated RFIs), RFI, Initial Bid Collection, e-Auction, etc. etc. etc.

When an event is instantiated from a template, which requires only some basic information (name and dates), it will have a pre-populated summary, stages, details, a default evaluation matrix, a team, a starting set of suppliers, and possibly an e-Auction. The buyer can quickly access each event section of each stage and customize as needed. The application supports all standard HTML form functionality for data collection, makes it super easy to build sections, subsections, and questions for data collection, just as easy to build grids for bidding (that can collect all cost elements associated with a product or service, including complex rate cards), even easier to upload bids from a spreadsheet and, if desired, even cut-and-paste spreadsheet/Excel based bids (because it’s not just the favourite tool of a Procurement organization that doesn’t have modern tech, but the favourite tool of Supplier Reps as well). In addition, once instantiated, the event structure is not locked, the request owner or super user can modify it as needed (if more time needs to be added to a stage due to technical or communication issue, if another stage needs to be added because the responses are not differentiated or competitive enough or more requirements are added, and so forth).

Reverse Auctions have a very simple and clean UX and were designed to be easy to grasp, and use, by both buyers and supplier bidders. There is also integrated chat for real-time communication if needed. Buyers see the current total lot cost and suppliers see the current lowest bids, or their rank, in a public or blind manner, and can keep bidding until the time is up or they’ve given their best and final bid.

Evaluation is done using a grid structure on each relevant event section, where sections can be added or removed, by one or more evaluators, who can see all of the bids and responses side by side, including either full details or just summary, filtering down to just what they need to make an evaluation (and eventual award if the event is completely price-based). In a summary evaluation, they can click into the full response history or bid details (especially if the product was broken down into multiple cost components) and if it’s a multi-evaluator event, drill in to see the individual evaluator scores. There’s no graphical representation for bids just yet, but they have added BAFO (Best And Final Offer) capability to clearly designate final bids as well as automatically computing the deltas in bid responses in both percentage (%) and dollar ($) value, which are highlighted in the comparison view. Additional enhanced valuation functionality is planned for future releases.

One very unique feature of the platform is built-in support for collaborators. Most platforms make it easy to add other organizational users, but not so easy to add consultants who are helping on specific categories or projects. In the DeepStream platform, you can define collaborator organizations and users within these organizations and then, on an event, or stage [“page”], basis grant collaborators access at whatever level of access they need (read, comment, evaluate, write, etc.). This means that the platform is also great for niche consultancies as they can add their client as a collaborator and give key stakeholders visibility while managing everything on the customer’s behalf. (And, of course, it’s super easy to add organizational users to each page and grant them the precise level of access they need.)

A second very unique feature is their document management capability. Most RFX platforms just allow upload, with simple version tracking, and that’s it. The DeepStream platform understands there is a workflow around document management, especially where contracts and detailed specifications must be agreed to, and has a detailed set of process-centric statuses that can be associated with each document uploaded (for information only, upload requested, upload deviation, accept, etc. — modifiable by the client if desired) so both sides clearly understand where the document is in a request or negotiation cycle, as well as the ability to tag in-platform messaging to a document, which not only allows for audit trails to be queried at the document level but allows for in-platform discussions around documents to be captured and not only centralizes document communications (which get lost in email) but simplifies acceptance and approvals (of contract-related documents).

Contract Governance

The system allows the storage and management of contracts — which are currently defined as a collection of documents and bids accepted by both sides that are included in an award. The user can define the start and end dates, milestones, review periods and notifications and the platform will notify the appropriate parties when a milestone is do (so the appropriate individual can login and execute that milestone when it is completed, which may include notes or documentation), when a mandatory review has been completed (along with appropriate documentation and possibly future milestone steps if a corrective action is needed), or when a renewal/termination date is coming up on a contract. They don’t have integrated e-signature yet, but it is coming. Nor can they output everything to one single amalgamated PDF, but they haven’t found that to be necessary when most of the documents in the system are stored as DOCX or PDF, and it’s much easier for a user to find and extract just the information they need (original contract, delivery schedule, pricing, spec sheet, etc.) when a contract is stored as a “package” of documents and related system artifacts.

Supplier Management

The foundation of Supplier Management in the platform is the Network where all uploaded suppliers have a common, basic profile, that consists of basic organizational identifies (name, business ids, primary location[s], primary contact[s], etc.), the UNSPSC codes that the organization provides, and the locations they can provide those goods and services to. This makes supplier discovery within their primary industries practical for their rapidly growing customer base.

On top of this, a user can add their own qualification profiles to collect, and maintain, the information they need on the supplier, and these are kept private. When they do this, or when they select network suppliers as their suppliers, they show up in their “My Supplier” view where they can be selected for starting (pre-approved) supplier lists for every sourcing event template that the organization believes they are suitable for.

Finally, each organization has their own “Activity” tab in the supplier view that shows all associated Pre-Qualification questionnaires, Sourcing/RFX events and Contracts with their related status. One click will take the user into the associated document or event.

Dashboard and Reporting

When a user logs in, they see their activity dashboard that summarizes their requests, contracts, notifications, pre-qualification/onboardings, and a few report highlights (mainly negotiated savings and request completion status). It’s kept simple and streamlined so a user can get right to what they need to do when they log in, especially since they are integrating other communication channels besides email for notifications so users only have to log in to do something, not to get a status update.

Reporting right now is very basic, and very process/cycle time centric (which should not be surprising as they do not do spend analysis, preferring to instead integrate with the organization’s current platform, and if the organization does not have one, help the customer find and integrate with an appropriate partner organization for spend analysis). The reporting is really focussed around:

  • Team Productivity: how many requests made, completed, etc., by category, and average cycle time(s)
  • Supplier Engagement: requests received, responded to, awarded, etc. and associated rates and durations

With regards to saving, it’s focussed around:

  • Total Negotiated Savings: that summarizes the total negotiated savings based on the current PPU/RPH, the award rates, and the total number of units/hours requested
  • Total Negotiated Savings from Auction: that summarizes the savings from auctions, as well as savings statistics on an auction basis

Other Features

Standard Drive functionality where the organization can store all of the document templates it needs for its various supplier (pre)qualification and sourcing events.

Easy Query Audit Trails: When you bring up an Event in DeepStream, you can see a history of every action that was taken at every step by every participant (buyer, collaborator, supplier rep, etc.), filter, and export at any time.

Great Help Library:
DeepStream has a very extensive help library that is organized by role and process, to help an average user find the help they are looking for based on where they are in their sourcing process. It also has a built in advanced search function (powered by a custom in-house AI-backed search algorithm trained ONLY on all of the help documentation they have available) that can quickly find the right section of the right document with a reasonably detailed search request. This AI also powers their integrated chat/online help function that can handle full natural language questions and guides the user to right help quickly and easily (if the help exists). Since their help library covers every function on their platform, as well as best practice sourcing processes, the help bot is able to direct a user to the guidance they need and complete a help request roughly 80% of the time.

Multi-Lingual:
The DeepStream platform, including all help documentation, is fully translated into English, French, Spanish, and Portuguese.

Easy Integrations:
Out of the box ERPs include IFS and Dynamics, which are the two most common in the mid-market in their target industries, but they can (and have) integrated with other ERPs and P2P/AP systems. They’ve also integrated with supplier qualification and certification systems (like Avetta) and you can expect more integrations as time goes on. They built on prismatic.io to allow them to integrate with any platform they need to quickly, easily, and in a standard fashion.

Easy Account Management:
In the DeepStream system, it’s really easy to define collaborator organizations, user accounts, notifications, and system preferences (around currency, notification, etc.). Remember, one of the main goals was efficiency, so the idea is that organizations and users can configure event templates precisely to their needs so it’s super easy for buyers to kick off and complete sourcing events.

Terminology Customization:
DeepStream understands that one of the biggest hurdle to adoption is trying to force an organization to switch to terminology they are not used to. Thus, in their system, the super use can define the language used in all system elements at each step of the event template. For example, some jurisdictions in the world might use bid envelope terminology, others might use bid package, the private sector just wants RFP, and so on. All of this terminology is customizable as needed.

Coming Soon!

As per our intro, they are constantly developing and a few features coming soon include:

  • Enhanced evaluation functionality with more auto-computed differentials/savings potentials and advanced ranking/weighting capability based on calculations;
  • Integrated e-Signature powered by Verify — which will be available at all stages of supplier interaction, as you may require an NDA to be signed before you can even invite a supplier for a bid
  • Microsoft teams and Slack for communications and reminders (which is in beta now)
  • More Language Support: the entire platform, including the entire help library, can be internationalized to a new language within three weeks; languages are being added based on customer prioritization

Coming Later

  • More Out-of-the-Box Supplier Certification/Qualification/Risk Integrations: to help buyers certify and qualify new suppliers for their operations without leaving the DeepStream platform
  • Category Template Library: they have a number they can set you up with if you don’t have any; right now they help you get your current (Excel) templates and processes templated
  • Supplier [onboarding] Questionnaires: there are best practice templates out there for IT/Cyber Security, Personal Data Protection, Health & Safety, regulations like the GSCA, etc. and no need for each organization to create their own from scratch; right now they will share what they have on request [enhanced onboarding is one of their newest capabilities and, as such, is still under active development]

In conclusion, DeepStream is a great sourcing platform for mid-markets who need to modernize and get efficient fast, especially in the Energy & Renewable Energy (and O&G), Utilities, MRO, and Site/Port Operation sectors (be they public, private, or quasi — such as public funded, privately managed). As the platform is true multi-tenant SaaS, it’s more or less a flick-of-the-software switch to instantiate a new instance, typically only a day or two to configure an out-of-the-box implementation, only a few days to a week for a non-out-of-the-box integration, only a few hours to pull in the active suppliers once the ERP/P2P/AP is integrated, and only a few weeks to get an organization’s category processes templated. Most customers are fully up and running within a few weeks (and a month at most), and some customers have even kicked off initial events (on a small set of suppliers pulled in through one of the out-of-the-box ERP integrations) within 24 hours (while the while the remainder of the active suppliers for near-term events were being onboarded and the remainder of the category templates built out for future events). If you’re a mid-market looking for modern sourcing tech, and especially if you are a mid-market in one of the target sectors, you should definitely consider putting DeepStream on your shortlist and checking them out.

The Public Sector is Giving Procurement Integrity A Bad Name … Can the Private Sector Fix It?

A recent article over on Global Government Forum on Procurement Integrity: A Big Problem That’s Worse Than Most Organizations Think, pointed out that errors, fraud and abuse in procurement cost governments and organizations millions of dollars every year, and even though recent headlines in the US (TriMark, Booz Allen Hamilton), UK (NHS, Royal Mail), and Canada (ArriveCan) are starting to shine the light on the extent of (public sector) procurement fraud, the problem is still bigger than you think. Much bigger.

Current estimates are that organizations, across the public and private sectors, lose 5% per year due to procurement errors, abuse, and fraud. Given that Global GDP is about 85 Trillion dollars, at 5%, that’s 4 TRILLION dollars estimated to be lost annually to errors, abuse, and fraud. And that’s probably a low-ball estimate due to the fact that we just calculated that Over One TRILLION dollars will be wasted on IT software and services due, primarily, to lack of knowledge and/or outright stupidity (and not malicious intent, but if it’s easy for consultancies and third parties to considerably over bill for legitimate goods and services that you need, imagine how much they are fleecing you for goods and services that you don’t need and may not even receive).

It’s highly likely that the true cost of errors, abuse, and fraud (internal, collusion, and external) is closer to 10% of total GDP, or close to EIGHT TRILLION. That’s at least twice the GDP of every country on the planet except China and the United States. That’s a BIG PROBLEM, which is definitely not being helped by the 100M to Multi Billion Procurement Frauds being reported almost monthly across major western economies — and multi-million dollar fines don’t repair the damage. (They don’t even come close.)

This is damage which Procurement needs to repair — because Procurement is the only department that has any hope of putting proper procedures, processes, and platforms in place to minimize the errors; training the organizational employees on proper procedures and monitoring the implementations to prevent abuse; and putting in place proper detection systems to detect, and prevent, potential fraud and quickly identify and track it when it happens.

Unless all the bucks go through, and stop at, a modern Procurement department run by a CPO who puts in place proper people, processes, and platforms, loss is going to continue to run rampant. Which means that while the public sector is failing us daily, the Private sector has to step up and restore the integrity of Procurement. It can start by utilizing some of the the techniques in the linked article, and continue by continually learning and implementing the best technology and processes it finds to not only uncover significant savings in inflationary times, but return integrity and trust into big business, and give governments who have lost their way a model to follow.

And for more details on Bad Buying to avoid, and how to achieve Procurement with Purpose, the doctor suggests you start by following the great public procurement defender, Peter Smith.

Scalue Wants to Scale Up Your Strategic Procurement with Strategic Spend Analysis

Scalue is a spend analysis company that was founded in 2018 by veterans of Procurement with two decades of experience in Düsseldorf, Germany to help companies identify various, immediate, areas of potential savings, improve their overall purchasing processes, and, most importantly get started quickly (as many large organizations can take between 6 and 24 months just to get their data foundation in order if they take the traditional route and start with a consultancy partner that starts with a data cleansing, classification and enrichment project before building the first cube and starting the opportunity analysis).

Scalue was built to be ready to use the minute that you loaded the starting data set from either

  • a set of flat files or Excel workbook (which are auto-mapped if you use their data model and/or standard field names) or
  • the ERP/MRP (AP) (for which they have a library of pre-built integrations to the majority of the major ERP systems; they may need minor customizations, but those are usually quick to accomplish, and if you need something custom, they do have certified ERP integration partners).

Of course, how ready it is will depend on how good your classification is in the raw data you import. For the majority of companies just starting on their data foundations and/or spend analysis, chances are their data classification is very poor. Fortunately, classification in Scalue is quite easy and can be done by supplier, material group, material, GL coding (if available), invoice (line), or a combination thereof. Scalue typically begins an engagement with a working session to help, and guide the users on creating/updating their categorization and doing the initial spend mappings.

Updates are on your schedule. Most customers prefer monthly (so they can share and do consistent analysis), but they can retrieve updates weekly, daily, or even hourly if you want with a direct (ERP/MRP/AP) system integration or as often as you update an incremental file without an integration.

While Scalue has experimented with multiple AI technologies for classification, they do not use any technologies across the board, and instead use specific instances on specific use cases (for initial classification rule creation, but all AI mapping rules can be deleted or overridden), because they have found, as the doctor knows all too well:

  • classification accuracy in direct, especially when dealing with a multi-national enterprise that sources in different countries that use different SKUs and coded product descriptions for the same product and do so in multiple languages, is poor. Maybe 90%, but you really don’t want 10% of your data misclassified, especially if it relates to high spend transactions
  • classification consistency with the black box is poor, while retraining from corrected classifications will correct some classifications, others that were right are now wrong
  • while it sometimes can produce starting rules, you can’t always trust the confidence and still need to verify all the rules manually
  • a good mapping process will get a spend analysis / data management team to fairly high accuracy (90 to 95% +) in just a couple of days at most (even in large organizations) and the rules are 100% accurate and reliable

When the average direct buyer enters Scalue, the first thing they see is the Cockpit Dashboard in the Management module which helps them understand their spend and drill in to find immediate opportunities. The cockpit, like any good entry dashboard, summarizes spend volumes, suppliers, spend by material group, supplier, and measure for a time period and allows a user to drill in by any (pre)defined dimension or measure in each of these drill downs, and order the drill downs in any order they like. Each drill down brings up a dedicated report screen, where the user can not only drill, but select a dimension/measure subset as well. When a user identifies a high spend (sub) area that they want to address, they can kick off an initiative, which we will discuss later.

Scalue promises a return of 1% on total addressable spend in your first 12 months and has consistently delivered across its customer base for the last few years. This might sound low compared to the numbers quoted by indirect spend analysis providers, but one should remember the following:

  • while the average return on an indirect category that is strategically sourced during non-inflationary times will be 5% to 10% with a modern sourcing solution and good insight,
  • and the average return in the tail spend will be 10% to 15%,
  • the average return in a direct category is usually in the 3% range (as it’s much more carefully evaluated and managed by a company that needs to invest millions in materials and goods to serve its customers)
  • and contracts are usually three (3) to five (5) years.

Thus, if you save 1% a year despite much of the spend being locked in by existing 3+ year contracts, with a average ceiling of 3% on savings on (re)sourcing. that’s actually quite good — and for a company buying 500M in direct, that’s 5M straight to the bottom line in the first year on direct spend alone!

The next step for most users is either the ABC Analysis or the Business Development overview, which is where they will typically go next. The Business Development screen summarizes purchasing volume, regions of origin, and ABC analysis (by country by default) which can also help an analyst dive in to find immediate opportunities (by focussing in on high volume categories where the spend trend is going up, categories that are being sourced from too many regions and present a consolidation opportunity [without increasing risk], and high spend material groups that might be going unmanaged).

The ABC analysis, that the user can drill into from the Business Development tab (or jump straight to), allows the user to see the material group or supplier split by the top 80%, next 15%, and final 5% (or 70/20/10 or however they want to define the A,B,C spend ranges under their interpretation of the Pareto Principle) and just drill into the spend that matters the most.

In summary, users usually start with these three Management Dashboards

  • Cockpit – an overall spend overview: volume, cumulative cost variance, top suppliers, top measures, etc.
  • Business Development – looks at price spreads across all of your products to find immediate opportunities (by consolidating to lower cost parts where possible)
  • ABC Analysis – the standard ABC analysis that groups material groups into high spend (A), medium spend (B), low spend (C) using the modified 80/20 rule into 80/15/5 (which can be modified as desired by the customer); this allows an analyst to focus into the high spend / critical material groups first and then see what groups or suppliers are out of control in the tail

Once the initial exploration is done, most analysts will move to the Structure dashboards:

  • Invoice Compliance – how much spend is billed not using contract rates
  • Contract Compliance – how much spend is off-contract that should be on contract
  • Payment Terms Optimization – looks at payment terms and early payment (cash) discounts across suppliers and helps you optimize payment terms and time-frames
  • Delivery Time & Performance – average delivery time, on-time, late, by supplier
  • Terms & Conditions – where they can analyze payment terms and delivery terms across a supplier (cluster) or material (group); keeping on top of this is very important if your suppliers provide early payment (cash) discounts or charge interest for late payments (and hold your critical orders until invoices past due are paid); includes a portfolio view of associated value with each material group-term pairing

From there, they will usually progress into the Control Dashboards:

  • KPI Dashboard – a customizable dashboard that centralizes your KPIs of interest
  • Material Cost Variance – summarizes the cost variances across materials and material groups
  • Report Builder – allows an end user to build a report on set of dimensions and/or measures in the system

Once they have completed their analysis, the users will probably want to set up initiatives (projects) to (re)capture savings and hit the 1% reduction on total spend Scalue can deliver within the first 12 months. To do this, they will move over to the Action Hub:

  • Tracking – the main dashboard that provides an overview of all (open) initiatives including [savings] type, forecast, and captured to date
  • Approvals – the approvals dashboard where an admin can accept, and lock, dates, forecasts, entered amounts (to date), etc.
  • P&L Savings – the savings against the P&L by month for a given time-frame
  • KPIs – allows for a deep cross-initiative analysis that computes averages and statistics across initiatives, categories, manufacturing groups, and other KPIs of interest by time periods of interest
  • Admin – allows for customization of initiative management — the admin can define the phases, the employees who can edit initiatives, the priority classifications, the savings types, the project statuses, and other dimensions upon which the KPIs will be based

As with all spend analysis systems, the end user administrator can setup and maintain the category tree, material groups, supplier, and invoice categorizations completely self serve and inspect it at any time through the module for Data Health:

  • Material Clusters – group material groups by product lines, related uses, or another common denominator you want to be able to do analysis by; see the allocation by spend or volume, and drill into the percentages
  • Supplier Clusters – group suppliers by parent company, region, or another common denominator you want to be able to do analysis by; see the allocation by spend or volume, and drill into the percentages
  • Category Tree – define the category tree and the overarching material groups
  • Material Group Categorization – dive into a material group and map materials
  • Supplier Categorization – classify suppliers by material category
  • Material Categorization – supports product/SKU level mappings
  • Invoice Categorization – define line level overrides where needed

Once a company has mastered the basics and taken full advantage of the standard dashboard and analysis that deliver almost immediate payback, they can do the more advanced portfolio analysis that allows them to analyze portfolios by buying power, supply risk, ESG/CSR, etc. as long as they have the data to do so (and have defined the appropriate supplier/material group clusters). Scalue can pull in the data from the ERP if it exists, and if it doesn’t, it can build (or the end user can build) questionnaires to collect the data from organizational users. This advanced analysis is accomplished in the Strategy Hub:

  • Questionnaire – used to collect baseline data to provide a foundation for portfolio analysis
    (around ESG/CSR, Organizational Buying Power, Supply Risk, etc.)
  • Supplier Portfolio Specifications – used to collect specific data for portfolio segregation by supplier (cluster)
  • Supplier Portfolio Analysis – analyze the spend by the desired portfolio breakdown, dashboard is customizable on implementation
  • Material Portfolio Specifications – used to collect specific data for portfolio segregation by material group (cluster)
  • Material Group Portfolio Analysis – analyze the spend by the desired portfolio breakdown, dashboard is customizable on implementation
  • Combined Portfolio Analysis – see the portfolio analysis by supplier (cluster) and material group (cluster), dashboard is customizable on implementation

Finally, for ERP customers that have multiple years of data in their ERP, they also have a ProcessView module:

  • Dashboard – a summary of the process analysis which focuses on process discovery, lead time analysis, and a breakdown by lead time cluster
  • Statistics – summarizes statistics related to the different steps of your process around average time in the step, which can be broken down by supplier, material (group), user, etc.
  • Query Builder – build queries to answer questions not answered in the dashboard
  • Modeler – adjust the process model as required
  • Impact – The statistics and KPIs are converted into easily understandable process descriptions based on intelligent models to aid the analyst in interpreting key figures and estimating the initial impact.
  • Comparison – The results of a process comparison across suppliers and product (groups) to highlight why one supplier or product is better (or worse) than another.

As with any good platform, you can drill into any data set on any dimension, reorder the dimensions, and drill right down to the individual transactions. Also, since they have a number of implementation partners certified on the major ERP systems (SAP, Microsoft, etc.), you can have it implemented quite quickly, and the partners can work with you to get your data properly classified in a very short time frame as well. You can also export all of your data at any time.

When it comes to user administration, an admin user can grant other organizational users access rights done to the record level (and may only see some modules, dashboards, and menu items as well) and define new measures for report building.

The platform is very useable, but to ensure that all of their users can make the most of it, they have an extensive on-line education library in German and English on their Training Site. These courses go beyond platform basics and even include courses on negotiation, supplier consolidation, strategic category assessment, and so on.

If you’re doing a lot of direct spend and looking for a best of breed spend analysis solution, it’s one to include on the short list.