The King is Dead. Long Live the King!

Learn the phrase, because you will soon be living it in every aspect of your life — it’s not only the new fashion in western politics, but the new fashion in enterprise tech tripling down on the AI hype when the big AI vendors are losing money faster than ever before (as compute costs skyrocket, competition heats up, and a lot of people are getting fed up with a total lack of return on their investments)!

However, in the meantime, as the hype wave makes it way though the mass market, a slew of startups emerge building on LLMs and fake AGI offerings, and the marketing mania takes over, expect the e-Procurement is Dead, Sourcing is Dead, and Contract Management is Dead rhetoric to hit all time highs as these new players cr@p their new apps as fast as they can, with new — natural language centric — interfaces, more automation, and instant gratification. (At least when these apps work as desired.)

As these offerings get adopted at a rapid pace in organizations who are just adopting modern solutions (which make up half of the space, or more), replace first generation apps from the noughts in organizations who decided that anti-complex is the way to go, and start to get noticed, the rhetoric picks up the pace and echos.

But that’s all it is — rhetoric amplified through a microphone. Sourcing, Procurement, and Contract Management are not dead, the fundamental requirements are not changing, and these systems are not being adopted en-masse. Not just because they don’t always work very well, but because they don’t fit. (And even when they do, they are just replacing one interface with another.)

First of all, in the public sector, you have to follow rules and frameworks even for tail spend. These systems have no guardrails, and by their very nature can’t guarantee the rules will always be followed. So these systems can’t be adopted.

Secondly, in many large private organizations, very large investments have been made in big suite models (which still have long term subscriptions in place), so unless the new AI solution enables functionality (regardless of interface) that does not exist in the current platform, or allows for a considerable number of seat-based licenses to be dropped on renewal (for a similar or less number in the new, cheaper and more functional, app), it’s not even going to be considered. Even if buyers get blinded by the hype because the CFO is going to say no.

But yes, some organizations will be in a position to adopt these systems, echo that SaaS is dead, hail the new Agents / AI as king, and go back to doing the same old thing through a shiny new interface.

So while THE PROPHET might find it fun to pontificate who killed the e-Procurement king, the reality is that no one killed the king, because the king will die a death by a thousand paper cuts, and then his clone will be put on the throne.

Why? Well, using THE PROPHET‘s examples:

  • most intake/orchestration platforms just put lipstick on the pig you are already using (and the pig isn’t very happy about it), and the king you will get is Merkimer’s clone
  • ERP will do what they always do, acquire what their customers are already using (and this time do it in fire sales as investors who paid 10X for suites get desperate for anything back as the growth in these suite companies stalls), and the king you will get is the next CEO, who will be picked to clone the current CEO in form and function
  • people will see through the BS of “concierge AI employees” when they falter on more complex purchases, over spend on basic items, and allow Sony PlayStations to be charged to the snack budget (because the only AI employees that perform are those based in India), and they’ll keep the king they have until he nominates his successor (whom he expects to be just like him)
  • the viper strikes from fed up merchants being overloaded with RFIs and RFQs to quote items in their public catalogs at non-discount volumes will be laced with poison, and the only way the king will survive is to back down …
  • data aggregators and intermediaries will thrive, and they help to select the next king, but they won’t be king

The King is Dead. Long Live the King!

This Should Be Obvious But Expert in the Loop …

… is Human in the Loop. Not another (AI) system in the loop, no matter how specialized that system is or how well it is trained!

The future is Augmented Intelligence, NOT Artificial Intelligence (which doesn’t exist and won’t exist any time soon until brilliant researchers come up with a few more insights that get us closer to understanding

  1. what intelligence actually is and
  2. modelling it.)

The algorithms might be getting more accurate in average use cases, but the illusion of intelligence, no matter how grand, is still NOT intelligence. (And, even worse, The Wizard of Oz has been replaced by a very poor digital facsimile.)

Done right, Augmented Intelligence will still let your organization reduce its non-value-add tactical workforce by 80% to 90% because the right tools will enable the strategic experts to be 3, 5, 7, and even 10 times as productive and oversee all the tactical work that needs to be done using an exception based approach where every instruction that is given forms a rule that allows the system to automatically deal with the same, and similar, exceptions should they arise again in the future in a predictable and repeatable fashion.

Instead of having to oversee a team of tactical grunts that just take up space (because they don’t have the education, experience, or raw capability required to make good strategic decisions, manage projects, and identify value), a strategic expert can instead focus her time on value-centric activities and training a protege or two who will be one that posses the right mix of EQ and TQ to grow into, and take over, her expert role (when she moves on and up).

In the near future, there will be no more bodies in seats just to push bits around, because that’s what software does best. Number crunching and thunking. NOT analyzing strategically and thinking. (I admit most humans don’t do that well either, especially these days, because they are too attracted to the principle of least action and/or enjoying the cognitive decline from ChatGPT, but those willing to practice strategic thinking daily still do it way better than a machine ever will based on our current approaches to AI). [And while there might be fewer of us each year that are willing to think, there are still enough of us to get the job done if you let us select tools that work. Not necessarily AI. Tools that work.]

We Need Exact Purchasing … But It’s NOT a New Matrix!

We all know the Kraljic matrix is broken, and that it has been broken for a while. As Jason Busch starts off in his article on how Supply Management Must Become Exact Purchasing, Kraljic was right at the time, but it’s time to come back to where we started. And, more importantly, recognize that the Kraljic Matrix was designed as a starting point for supply management to think critically — and Supply Management was supposed to evolve from there. But it never really did.

Sure we got the Purchasing Chessboard by Kearney to supplement a host of seven step methodologies, procurement game plans, new techniques for managing indirect spend, lean supply management, and a slew of techniques from every niche consultancy to enhance your supply, and category management, strategies, but almost all of these are based on the classic 2 * 2 Kraljic matrix with refinement.

In his post, Jason, who rightfully says that procurement at scale is not one-size-fits-all tells us that answer is Exact Purchasing, or more specifically, The Exact Purchasing Quadrant, where he tries to map cost influence vs contract-and-supply complexity because Kraljic told you what a category is when he mapped profit impact vs. risk / complexity, but he didn’t tell you what to do with it. According to Jason, if you have:

  • low cost influence and low complexity, you transaction capture
  • low cost influence and high complexity, you govern the relationship
  • high cost influence and low complexity, you manage market risk
  • high cost influence and high complexity, you architect the cost

And Jason’s mostly right. Depending on the category in question, you’re generally going to apply one of those approaches.

Jason doesn’t stop there. He tells you that the thread that ties all four of these together is data at the core. And he’s right. Without a data-based (not necessarily database) approach, you’ll never effectively manage, and thus never effectively purchase, a category. Moreover, Jason does a great job at telling you what the core data is, where it resides, and where it could sit in your next generation enterprise Supply Management Solution (SMS). But he falls short when dictates the velocity, because that depends on the criticality. And even worse, the depth of data required depends on the criticality — which can also change the quadrant a category falls in!

For example, while packaging, print & marketing, and NPD are definitely strategic (Kraljic) cost architecture (Busch) categories for some companies (i.e. CPG, Advertising Agencies, and Manufacturers), they are tail-spend for other companies (i.e. Retail Store, Luxury Brands, and a Services Consultancy).

Jason’s improved approach still fails because it suffers from the same fallacy as the original Kraljic matrix — that complexity and risk are a single dimension. They’re not. Complexity is a factor of the product or service that you design and is an internal dimension that you have complete control over. Risk is a factor of the external environment that impacts your ability to create and deliver the product or service and depends on the financial stability of your supplier, the geopolitical situation in which it operates, the trade routes that exist between your supplier and your location, your supplier’s supply chain, and everything else in between — these are all factors you can’t control. Furthermore, it’s not profit impact (Kraljic) [which is short term] or cost influence (Busch) [which depends on spend], but criticality, which is measured in value impact [and what happens if the buy is unprofitable, of poor quality, or unavailable]. A category with zero savings potential can risk a 100M product line if your products can’t be completed without it (and we’ve seen this many times over the last two decades as critical sensors or single-sourced components shut down automotive lines or lack of RAM [from the decennial plant fires] or custom control chips [from trade slow-downs or insufficient production] greatly impacted personal computer / laptop or game system production — costing major brands hundreds of millions of dollars).

The reality is that Supply Management / Exact Purchasing / Get My Stuff (and Git-r-Done) is NOT a 2 * 2 matrix. It’s a(t least a) 2 * 2 * 2 pocket cube (and a 3 * 3 * 3 cube in large Enterprises) that is different for every organization where you take into account:

  1. complexity – low (med) or high
  2. market risk – low (med) or high
  3. criticality – low (med) or high

And as you progress from the lower left of the cube (where all dimensions are low) to the upper right of the cube (where all dimensions are high), you’re simultaneously following a three-dimensional path down a bi-furcating decision tree that takes you from non-critical items where you are simply managing as transactions to highly strategic items that you are cost architecting to the best of your ability, monitoring at least weekly, and alerting the category manager to on every major market event. In the middle, you will deal with your leverage and bottleneck items using well-timed market events to mitigate risk and managed relationships to ensure smooth supply, with the depth, and velocity, of the data correlated to the criticality of the item to your operation.

You do that, and you’ll finally be on the road to Exact Purchasing.

And I’ll leave it to Jason to work out the details of the starting cubic, as he’s so intent on fixing Purchasing (now that he’s semi-retired and can pontificate on the philosophical of purchasing).

(And once Jason does that, I’ll tell you how execution differs between small, medium, and large enterprises because “strategic” doesn’t mean the same thing at different levels, there is no one-size-fits-all platform, and, after a lack of operational readiness [which THE REVELATOR will happily fill you in on], this is likely the second biggest reason new technology acquisition projects fail in our space.)

The Future of Business is … Customer Centric Supply Chains!

Phil Fersht of HFS Research recently did a great LinkedIn post summarizing a fascinating conversation with Malcolm Frank that summarized a few key takeaways, including the following:

For 25 years, IT services optimized SG&A instead of transforming cost of goods sold. AI changes that. The real value now sits in agentic, vertical, customer-facing transformation, not back-office efficiency.

Customer-facing transformation is definitely where the value is in a global economy that is (borderline) recessionary, with joblessness and insecurity increasing by the day, and most people having less (and less) to spend on non-essentials and essentials alike. If you want their business, especially if your product or service is discretionary, it needs to be what they want. With constantly crushing weights on their shoulders, they need products that make them feel good, that make them feel like they are being listened to and catered too, that were created for consumer use (and not for the use by the atypical person in the lab who created something just for them), etc. The companies that deliver those will be the big winners, not the ones that still follow the old Ford Mantra (where you can have any colour you want as long as it’s black).

However, it’s not just creating the product that the customers want because IF you can’t deliver the goods at a price point the majority of your customers can afford and will pay in tight/recessionary economies, then you won’t sell any product at all!

We all need to remember that COGS was always a proxy, as it was easy for the accountants to measure, the same way we use revenue as a proxy for determining if a company is an appropriate target for our software and services. In Procurement, it’s not revenue — it’s how much spend is external, how much we can actually manage (retailers can have large leases that make up a significant portion of external spend which Procurement can’t do a thing about), and how many categories are big enough to give us leverage or real options when sourcing that can lead to savings, quality improvements, more resilience, etc.

This means that the future of business is about two things:

  1. tailoring to customers (because we’re long beyond you can have any colour you want as long as its black) to maximize the amount they will pay (to the point they can pay), which Phil astutely noted in his post and
  2. (dynamically) re-configuring the supply chains (as needed) to offer the products at profitable price points based on what the majority of the market will pay

So this would mean it’s simultaneously optimizing the product mix for customer adoption while ensuring the supply chains are ready to serve and re-optimizing them as needed.

As was noted, at the end of the day, back-office costs are pretty insignificant compared to supply chain costs and increased profits from increased price points that create a product that maximizes what a customer will pay (because the product is precisely what the customer wants, and not a product that is simply close enough that it might work for them).

If A SaaS Provider Offers You a 95% Discount …

Slam the door, lock it; close the shutters, bolt them; don’t answer the phones, and rip the cables out of the wall; turn on the frequency jamming, and throw the cell phones in the Faraday cage; close the gates to the parking lot, and man security 24 hours.

No matter what they tell you, a 95% discount from a vendor always means a combination of EXACTLY two things.

  1. the provider was trying to rip you off (because they thought they could due to their customer portfolio, surging popularity, or your lack of market SaaS pricing intelligence) and
  2. the provider is in financial difficulty

That’s it. The only unknown is the weighting between those two realities (and just how severe the financial difficulty is).

They’re NOT giving you a huge discount because they want your logo or case study.
They might want your logo and case study, but a solid provider with a solid solution who creates a good relationship can certainly get it without 95% discounts — most customers who get real ROI from a solution offered at a fair market price are happy to give you a case study for the free publicity.

They’re NOT giving you a huge discount to prove value in exchange for future purchases.
Everyone knows there’s no guarantee those will happen, even if you get the full promised value of the solution. You might have no use for their other solutions. You might never need any additional seats.

And any other reason they can come up with is also a lie.

Unless the company is run by a bunch of cons where their entire business ethos is charge as much as you can for as long as you can until the market realizes how much they are being ripped off (and then the cons skip town), the only reason a company will offer that level of discount is because they are desperate to get a sale on the books because, if they don’t, someone is losing their job in the best case or the company is going bankrupt in the worst case. Either way, that’s not a vendor you want to be putting your faith in. You want honest companies who price based on actual costs with a fair markup and who are financially stable — not dishonest companies who price based on how much they think they can scam you while being on the verge of bankruptcy.

And never kid yourself that it’s worth the risk because all the company needs is a few deals and a right-size on its pricing because a company losing money can’t stay in business — and any piece of enterprise software fairly priced at 1M will cost the company offering it at least half of that sale price to adequately support. You need to keep two things in mind

  1. cloud compute costs are real and significant and, thanks to Gen-AI that is over-straining global compute infrastructure, rising year-over-year
  2. the development talent needed to maintain and secure your solution (and despite claims, Gen-AI can’t do either, especially since it typically makes your solution less secure) is not cheap either

So if you intend to have 10,000 users hitting the app daily and doing at least one compute-intensive task (and LLM queries are compute-intensive, at least 20X as compute intensive as a classic Google or Lucene search, and possibly 200X depending on what’s being asked), your provider’s cloud costs will be in the six figures — which means the 95% discount isn’t even covering their hosting costs and they are digging themselves into a deeper grave just by signing you!