Category Archives: Decision Optimization

Sourcing and Procurement Are NOT The Same

And they are definitely NOT interchangeable, as per a recent article by Paul Martyn (the Sourcing Optimization Grand Master) on LinkedIn.

As per his article,

  • sourcing is strategic
  • procurement is transactional

And this is why they are not only not the same, as per Paul’s article, but not interchangeable.

In the age of AI (Hype), this is distinction becomes doubly important!

As technology advances rapidly, humans become less and less important in Procurement as rapid advances in automation allow more and more of the tactical process to be completely automated (as ARPA allows exceptions to be learned and future manual intervention requirements to be eliminated) but more and more important in sourcing as Gen-AI repeatedly proves just how Astonishingly Inept modern Artificial Idiocy is.

Many will argue that sourcing is tactical because modern software can assemble RFXs from existing specs, automatically select suppliers from your SXM and/or ERP, automatically distribute them, automatically validate the returned RFXs, eliminate vendors who don’t meet absolute requirements, analyze the responses against market data for validity, build and execute multi-objective models, and recommend and award. And while that certainly sounds like sourcing, it’s not. It is sourcing execution. The tactical part that has to be done to support the strategic, but NOT the strategic.

The strategic is creating the specs, identifying the real organizational requirements, determining the requirements for supplier inclusion, validating the suppliers, determining the proper (multi-round) event type, validating the generated RFXs, analyzing the responses for hidden risks and traps and idiosyncrasies, defining the right trade-off models, selecting and modifying the right award scenario, overseeing the negotiation, etc. Every part of the process that requires an actual decision with Human Intelligence.

This is because, as Paul points out, a dumb machine doesn’t understand:

  • lowest cost vs resilience
  • incumbent vs challenger
  • standardization vs innovation
  • savings vs service
  • global leverage vs local agility

Or any other trade-off that can’t be completely quantified and captured in fail-safe rules.

Systems can, and should, support all tactical bit-pushing — especially since we were promised they would do so over 40 years ago when the big push was made for every person and business to adopt them — but, like IBM said in 1979, a computer should never (EVER) make a decision. And that most definitely includes Sourcing decisions!

AI CANNOT TELL YOU WHAT TO DO!

And I’m so glad I’m not the only one saying it!

The (Strategic Sourcing Decision Optimization [SSDO]) Grand Master himself Paul Martyn recently wrote a great post on LinkedIn that made this exceptionally clear and how the real problem is knowing what to do.

Paul starts off with three critical statements:

  1. AI can tell you what’s happening
  2. AI can’t tell you what to do
  3. In sourcing (procurement) the hard part isn’t visibility, it’s choice.

More specifically, it’s making a decision when every decision has tradeoffs, constraints, and (sometimes dire) consequences.

Unless you have an operating model to make those decisions, powered by technology that can actually help you adhere to the constraints, make the tradeoffs, and understand the consequences, the best case with AI is you get overwhelmed with the complexity of what’s happening.

So if you want to be buried in data and complexity and pretend you know what you are doing, there are dozens of BS AI players ready to help you.

But if you want the ability to make good decision, understand tradeoffs, restrict your inquiries to scenarios that adhere to constraints, and model the potential consequences when things go wrong, you need decision optimization with multi-objective capability. That’s Coupa (Trade Extensions). Or Jaggaer (Bravo Solution). Or Keelvar (just Keelvar). Not some BS AI startup offering nothing more than a clod or chat, j’ai pété LLM wrapper.

And if you want to know how to build the right operating model backed up by the right multi-objective optimization model(s) (and save millions while reducing risk and increasing quality), you contact Paul Martyn. He’s saved Billions. (Whereas in 94% of companies, AI has effectively saved 0.)

Now for those who don’t know, not only am I one of the last original (independent) analysts standing in our space (20 years doing SI next month), but I am likely the last original strategic sourcing decision optimization model builder left standing too. (Mindflow [acquired by Emptoris], 2000. First multi-line item model. Before CombineNet [acquired by SciQuest, renamed Jaggaer]. Before Emptoris [acquired by IBM and sunset]. Before all of them. Twelve years before Keelvar. First model to do more: Trade Extensions, acquired by Coupa.)

So unless Thomas Sandholm or Arne Andersson want to come out of retirement and recommend someone better — it’s Paul Martyn. No one still active in our space goes as far back or has worked with as many platforms as he has. (And I helped a PM/Consultant who worked at 2 different optimization providers get hired at 3 others over the past 20 years, and even that doesn’t match Paul’s resume!)

Why Do You Need Frameworks and Systems for Sourcing Excellence?

I’m going to call out a comment made by the Sourcing (Optimization) Grand Master himself, Paul Martyn, to a recent post I made echoing Matthew Buckingham‘s statement that today’s procurement leaders aren’t enough for tomorrow:

“If tomorrow’s environment demands creativity and crusading, how do you see procurement leaders operationalizing that without it devolving into noise?

More specifically:

What does “creative” procurement look like in a measurable, repeatable way

And how does a “crusader” avoid becoming a blocker instead of an enabler when pushing the C-suite to abandon comfortable models?

Feels like the gap isn’t mindset, it is translation into decision systems that actually move outcomes.”

You need

3) outcomes

2) created by decision systems

1) that support your sourcing and procurement needs

This requires

1) Sourcing Excellence in execution

2) BIC multi-objective optimization and analytics that fit into

3) a proper category framework for your organization, like the Busch-Lamoureux Exact Purchasing Framework, that helps you understand the systems and processes you need to employ in each category

Links

AI Doesn’t Drive Savings, Innovation, or Performance. Sourcing Excellence Does.

And Sourcing Excellence requires (Strategic Sourcing) Decision Optimization.

As the Sourcing Optimization Grand Master Paul Martyn has clearly stated in his post on how Procurement is at an Inflection Point:

  • AI won’t fix Procurement.
  • Dashboards won’t fix Procurement.
  • Better Data won’t even fix Procurement.

ONLY structured, modelled decision making that gets executed in the practice of true Sourcing Excellence will.

And that structured decision making will be based on true multi-objective sourcing optimization that takes costs, risks, and goals into account to help you, the intelligent human, make the right decision that a dumb machine will never see.

And if you want to find out how that’s done, reach out to the Sourcing Optimization Grand Master himself who has saved Billions in his career WITHOUT increasing risk, liability, or complexity and find out how your organization could be the next to save millions (upon millions) while making less risky and more valuable decisions.