Category Archives: Best Practices

Don’t Get Misled By Overly Simplistic Comparisons!

A recent post on LinkedIn on Coupa vs. I-Valua that implies it’s always Coupa vs I-valua or that Coupa is better is missing the point entirely. So much so, that the doctor had to call it out (see the initial LinkedIn response here) because it ends up being very deceptive (even if that wasn’t the intent).

The post made a very simple comparison between Coupa vs. I-Valua in big graphical format that basically said the following:

Coupa I-Valua
1 Billion in Annual Sales, inc. 2006 200 Million in Annual Sales, inc. 2000
Considered Innovation Leader Can Be Customized to Specific Needs
Generally Good Customer References Customers Have Mixed Success

So much wrong with this!

1) Revenue size is in no way indicative of a company’s particular ability to serve YOU. As long as the company is financially stable and has enough support staff for an organization of your size, that’s all you care about. (And it’s obvious they both do since once a company surpasses 100 Million in annual sales, it can serve the vast majority of enterprise clients.)

1b) Neither is time in business relevant once the company has been in business long enough to have a mature solution.

2) “Considered the Innovation Leader” is either opinion, not fact, or bland, marketing BS. By who? The market at large? Well, guess what, in this scenario neither Coupa nor I-valua qualify — Zip is the current darling of ProcureTech. (But don’t go there … please … don’t go there! [Or we’ll have to rip into that assumption too. For now, we’ll be content in reminding you that, despite what Zip claims, there are NO FREE RFPs.] To keep it short and sweet, Zip’s S2P capabilities are still relatively non-existent as it was built as an orchestration platform to connect existing systems and make them work better, and what they offer to plug the gaps you don’t have is not anywhere close to Best in Class.)

3) As Joel was also quick to point out in the comments, good customer references depends upon who you ask (and many of us who have been in the space a long time know that both vendors have very happy customers, some unhappy [former] customers, and customers who are generally satisfied (but wouldn’t go out of their way to give a recommendation). At Spend Matters, where I developed the Source-to-Contract Solution Maps, in the first release, I-valua was top dog and Coupa was average on the customer ratings. As more references poured in, I-valua dropped down to average and Coupa climbed slowly. In other words, both have great customer references, both have average customer references, and both sets of providers have a customer base with mixed success. (And you can’t always blame the company for the success or failure, both sell very advanced solutions and sometimes customers insist on a module they aren’t ready for.)

Furthermore this comparison misses multiple key points that need to be taken into consideration in any comparison, which include, but are definitely not limited to:

4) Simplification is key — and both platforms can simplify extensively! However, the approach is different — Coupa, in simple terms, gives you default configurations that are easy and widely adopted. I-valua built the infinitely customizable platform, and YOU have to work through that process to get it simple. In technical terms, I-valua was built for power users, Coupa for tech novices, but both can be configured to a middle ground.

5) There are more than 2 suites! While Coupa is a finalist in most deals (due to market size), depending on the industry and geography, the final “2” could also include SAP Ariba (yes, still), Jaggaer, GEP, Zycus, Oracle, Corcentric (Determine) or Synertrade, especially in enterprise deals, with another half dozen or so smaller suites emerging in the mid-market. And, for a subset of those deals, Coupa is definitely NOT the best. Sometimes it’s not even close!

5b) While Coupa is undisputedly one of the indirect (sourcing) market leaders, it is still very weak in direct sourcing compared to some of its peers (especially when compared to emerging players built for direct from the ground up). Classically, it had no direct support. The Trade Extensions acquisition gave it support in advanced sourcing and the Llamasoft acquisition gave it direct support in supply chain demand planning, but direct was never at Coupa’s core. For direct industries, it makes a difference. (To be fair, most of Coupa’s peers weren’t built for direct either, but Jaggaer acquired Pool4Tool, I-valua acquired and rebuilt DirectWorks in their platform from the ground up, GEP built NEXXE for supply chain to supplement its weak direct capabilities in SMART, and Synertrade was built from the ground up for direct – one of the few suites that was.)

I could go on, but, with over 666 companies to choose from, it’s never just Coupa vs. someone else, or I-vlaua vs something else. Sometimes neither of them should be in the room. Evaluate the alternatives. And do so after you know your core requirements, as that’s what you need to narrow down to a relevant pool of providers.

And also, you need to consider your sources when you see very simplistic one-side comparisons like these. While there may not be intentional bias, the relative knowledge the author has of different solutions will weight the comparison if the author is not an analyst who has rigorously, and objectively, weighted each platform side by side on its technical merits alone! (Which the doctor did for six years in this case, along with many of the other big names listed above.) (The Spend Matters solution map was a deep technical solution map with over 600 areas of feature/function/process evaluation on the tech axis [and dozens of questions on the customer axis] for a reason. Comparisons are NEVER this easy between suites and sometimes the usual market leader, for your organization, is the default market loser.)

In this situation, the post author’s company does a LOT of Coupa-related platform advisory, the post author has experience with Coupa that predates that in professional CPO or equivalent roles, and is one of the few consultants out there who has a good understanding of the Coupa platform. (And, by the way, there aren’t many of these consultants, especially when you consider that Coupa doesn’t really know Coupa anymore! The only two employees who knew the entire platform end-to-end, that contains over 20 acquisitions over the years, left last year. And the last few years also saw the departure of key personnel from acquisitions that gave them their advanced analytics, optimization, and risk capabilities. As for the doctor, he’s been following Coupa since Procurement Independence Day and consulted for, advised, or did diligence on half their acquisitions over the years. He’s one of the few that probably now knows the core of Coupa better than Coupa, and knows when someone, like the post author, knows a platform well.)

So if you need help identifying the right vendors to consider, and guidance on how you should be comparing them, seek out the niche analyst firms and independent analysts who have been covering the space for over two decades — they’ll give you the right list of vendors to look at, the right factors to consider, and can even help you craft the right RFP. (Unlike the big firms who just publish the same maps with the same vendors who happen to get a ranking that often just happens to be highly correlated to how much they pay the firm. [Remember, vendors have lured big analyst firms astray.])  And when you need help on a shortlist, seek out the consultants who have actually implemented multiple players on that list for their advice.

Forget Best in Class, Hype, or Futurism — If You Want To Improve, Mature!

As you know, and as we’ve written about repeatedly, the hype cycles for orchestration and Gen-AI are in full swing (even though both should be declining, they are both picking up steam, likely due to the ridiculous amount of money spent on marketing — which includes vendors buying analyst studies and reports that focus on areas where they look good).

Consultancies are not only trying to promote and sell you these technologies as a panacea for all your technology ills, but also trying to tell you that it’s what the best-in-class do and, by the way, that if you want to be best-in-class, you have to upgrade all of your processes (with their help) to those that the best-in-class use (whatever that means).

Furthermore, both are trying to tell you what the Future of Procurement is in 2030, 2035, 2040, etc.

And the reality is that NONE of this helps you. Not one bit.

As we have repeatedly pointed out, most of the currently hyped technology is still in experimental/beta stages. This is not technology that will help you mature. In fact, if you are not an industry leader, and mature in your processes, it may actually hold you back because you need to be a mature industry leader with your Procurement organization running smoothly to have the time and experience to properly evaluate these technologies and where they might fit in your organization.

Furthermore, every organization is different. As a result, what is a best practice for one organization may not be a best process for another. In fact, it might not even be relevant. While you will need to improve your processes, and streamline them for digitization, there is no set of fixed processes you can just plug and play and succeed.

And, don’t pardon my French, why the fuck would you care about what Procurement will be like in 5, 10, 15, 25 years. That does NOT solve your problem today. You care about what a better organization would like today and how to get there. That’s it. Just like the journey of a thousand miles begins with a single step (and possibly a single kick in the ass), the path to success is continual improvement, and, simply put, doing better tomorrow than you are doing today.

This means that the key to success is good old maturity levels, current state assessments, and simple step-by-step plans to get from one level to another. Nothing fancy. Nothing tech-centric. And definitely nothing hyped!

While the doctor admits he did get a little tired of the plethora of these maturity maps that appeared in rapid succession in the late 2000s and early 2010s, including the one he did, it was much preferable to today where the dearth of these, and simple advice, is deafening. The help that is desperately needed is not there — replaced by (Gen-AI generated) (Gen-)AI and orchestration hype, not how they can (and cannot) support the solutions you need.

[Plus, let’s not forget that analyst firms and consultancies tend to ignore government regulations and industry compliance (except in country-specific studies), day-to-day pain points (because they aren’t sexy and won’t sell the hype), and, unless they can make a quick-buck (or get a major uptick in eyeballs), changing global conditions that require (temporary) supply chain pivots.]

So, if you truly want to improve, find a maturity model that walks you through the process and knowledge improvements you need to

  1. get to where you should have been when you started Procurement
  2. get to where you should be today
  3. prepare for the next 3 to 5 years (since no one looks beyond that anymore)
  4. slowly build out a foundation that will take you beyond that (without another massive investment)

That’s it. That’s how you make progress. And how you do it without flushing Millions of Dollars down the (Big X) consulting toilet.

Need a starting point? You can still download the classic paper the doctor wrote back in 2012, that was sponsored by BravoSolution (acquired by Jaggaer), on Taking the First Step on Your Next Level Supply Management Journey which describes the levels of maturity from standardization and complexity reduction (which is typically the first step an organization takes on its journey), to operational excellence (which is typically the second step an organization takes on its journey), to strategic business enablement (which is when it typically becomes best in class).

If you do a web search, you will find others from the big consultancies, but this gives you an idea of what to look for in a model that you can build a progress plan on. Where do you start, where will go next, and where do you want to end up. Note that a good model is tech free. Tech should support your growth, not the other way around. (In other words, it’s never Tech-First or AI-First, it’s solution first, and then you identify the right tech.)

And if you need help with a current state assessment, or flushing out a roadmap from one level to the next, or where you are now to standardization and complexity reduction, hire a niche consultancy who will take a no-nonsense approach to get you there at a reasonable cost. (This shouldn’t cost millions of dollars in a transformation project. Depending on your organizational size and complexity, somewhere in the low six figures should typically be enough to get your started, or mid to high five figures if you want to just focus on a few core areas at a time. But definitely NOT seven figures. That comes during the transformation process once you have identified the tech you need, and NOT the tech everyone is trying to shove down the proverbial throat.)

Optimization CAN NOT Be Automated!

Not long ago, THE PROPHET said that the future of optimization is self-adjusting autonomous systems that just “do it”.

And while future systems should:

  • automatically aggregate, verify, and enrich data from multiple sources
  • adapt constraint and model recommendations based on organizational and market trends
  • continuously monitor environments and suggest the next events based upon the opportunity
  • suggest categorization and framework refinements that would allow for more successful events
  • consider volatility and risk in its models and recommendations

These models should not:

  • autonomously seek out and integrate data without human validation
  • autonomously change constraints and models
  • automatically run events for categories still under contract
    (on the probabilistic expectation the savings will exceed the penalty)
  • change your categorization and framework without approval
  • replace deterministic models with probabilistic ones with unknown weightings on volatility and risk

and these models should definitely not run fully autonomously in the background and make commitments without human approval and intervention.

Going back to basics, which THE PROPHET says he knows well, there’s a very simple reason you need a human in the loop for sourcing, and the simple way to explain it is this. To a machine, a 3.5″ lid is a 3.5″ lid, especially when it’s not!

Apply this next generation fully autonomous optimization platform concept to a global fast food chain, and the first thing it’s going to identify is that the human is following a “hidden constraint” by always buying matching cup and lid sizes from the same vendor, and doing away with this arbitrary constraint will save a global operation millions a year.

The new junior buyer, upon seeing this, will jump and down and tell the platform to “Lock the order and output the savings report so I can demonstrate this new AI optimization tool saved millions”.

But that “hidden constraint” is a real constraint because 3.5″ is not 3.5″ across manufacturers who are still running on decades old production technology as the process to create the cups and lids for those fountain drinks hasn’t changed since we were kids, there were no standards then, and the measurements were always off a bit.

If you’ve ever wondered why sometimes the lid just stopped fitting when the “serve yourself” trend started, this is why — someone broke the unwritten rule — and the chain tried to pretend the problem didn’t exist.

Why did they try to pretend that the problem didn’t exist? That’s because the “fix” is to order the matching inventory from the same supplier, sit on double inventory, and send costs through the roof.

In other words, this twenty five year old hidden constraint that the doctor personally saw sourcing optimization consultants overlook (when they were told by the client that you couldn’t use manufacturer’s X lids with manufacturer’s Y cups and that constraint should, obviously, be part of the model) is still a valid constraint today. And other examples abound across categories. The specs seem the same on the spec sheet, but only the engineers and buyers know when they are not and apply “unnecessary” or “hidden” constraints to account for these situations.

Moreover, going back to the suggestions of THE PROPHET:

  • machines don’t know truth from lies, so if someone publishes false data, they will use that false data in enrichment, and there goes your model!
  • as we just demonstrated, sometimes AI will remove necessary constraints or not detect “hidden” constraints that need to be included
  • you don’t break a contract on a hunch — you break it when it’s not working out; if you find a better product or lower cost, you start switching over as soon as you can or by diverting as much as you can from an un-contracted/contractually satisfied supplier to that new supplier
  • you don’t completely change categorization and upend the financial reporting and other dependent processes because it suits the optimization module
  • you use the probabilistic assessments, you don’t replace your deterministic model, where you can compute optimality and confidence, with them

When it comes to optimization, you want Augmented Intelligence and a system that, with input and verification at the right points, does all of the tactical drudgery and thunking that the machines are great at (and we are not). You don’t want it autonomously making strategic decisions it doesn’t understand.

We’ll Say It Again. Analyst Firm 2*2s Are NOT Appropriate for Tech Selection!

Last year, while ranting about the plethora of utterly useless logo maps (which includes the Mega Map the doctor created to demonstrate the extreme futility of these maps), we also did a dive into why analyst firm 2*2s are NOT appropriate for tech selection. This is coming up again as a certain firm is really pushing All AI all-the-time and you can tell it’s about to infuse all their maps. Plus, the biggest firms are really pushing their quadrants, waves, and marketscapes, and most of these are showing the same solutions they showed last year and the year before that and the year before that and so on (going back a decade in some cases).

That, and a number of people are lamenting their lack of usefulness on LinkedIn, with one person even creating yet another logo map to highlight the “significant solutions that matter” (but we’ll save that rant for another day), so it’s time to make it clear that these maps are not appropriate (on their own) for tech selection. For example, in a discussion on my post on how your standard sourcing doesn’t work for direct, Thomas Audibert correctly states that static quadrants, in any form, do not work. (And then went on to correctly note that if you say there are, for instance, 80 sourcing solutions, it means that there are at least 20 niche (geographic, industry, customer size, …) categories of interest and that, unless they are catered within 20 different quadrants, this makes no sense to me.

And it doesn’t, because all a map can do, in the best situation, is give you a set of more-or-less comparable solutions that each serve a specific function (so you don’t end up trying to compare a Strategic Sourcing to a catalog-based e-Procurement to an Accounts Payable solution which, of course, serve three completely different functions). If it’s a good map, and by that I mean focussed on two things max, like Spend Matters Solution Map that only scores tech (on one axis) and only presents tech vs average customer scores (on the other axis), then you can use it to verify that one or two of your key requirements are met (such as the tech is solid and the customers are generally happy), but that’s it. (But if it’s a map that squishes 16 different scores into 2 dimensions, that’s useless … you don’t know what is contributing to the scores. What’s most important to you could be the lowest score in that score mish-mash number that looks above average.)

Moreover, at the end of the day, all an analyst can do that is useful is rate a vendor on one or more business independent objective dimensions that can be scored easily and, more importantly, give a customer comfort that the vendor does well on this dimension and they don’t have to worry about it in their evaluation. (For example, if a vendor does well in Spend Matters Solution Map, you know you don’t have to evaluate the underlying technical foundations, which is something most companies aren’t good at.) However, that’s not enough for a selection.

When it comes to tech, it’s important that:

  1. it’s solid
  2. it fills the need you are searching for
  3. it is easy to use by the majority of the users for the functions they will be doing the majority of the time

And, guess what, an analyst can only verify the first requirement. Why? An analyst doesn’t know your needs, you do. Moreover, they don’t know the TQ (technical quotient) of your users, the functions they do daily, or the processes they follow. You do. So, how can you expect an analyst to produce a map that tells you that.

But, if you’ve been paying attention, the solution to your problem is not tech. It’s process. And until you nail that, and then select the tech that matches that process, tech alone will NEVER solve your problem. NEVER.

And since analysts don’t know your business, or your

  • business size, Procurement department size, maturity
  • culture
  • risk tolerance
  • innovation level/comfort
  • current processes / required processes
  • customer service needs
  • etc. etc. etc.

or even how these slide on a scale across different companies of different sizes across industries, there’s no way they can produce a map that tells you all of this. Or even a fraction of this.

That’s why you need an analyst or independent consultant that truly understands the solution space you are searching in, what those solutions should do, and how to help you identify the subset that is not only technically solid but is also likely to meet your business requirements. (And remember, It’s the Analyst, not the analyst firm. If the analyst hasn’t reviewed dozens of vendors in the space you are searching in that offer the type of solution you are searching for, doesn’t know the must vs. should vs. nice to have requirements, and, most importantly, doesn’t have the technical chops to validate the solution technically (which is the weakness of every non-IT / non-Engineering business department), he’s not the analyst for you!

What Are the Biggest Organizational Cost Saving Levers?

Every year there is a new survey or research report that will name one to three levers as the biggest cost savings levers in an organization, but it’s really not that simple. For example, the SCMR last year reported on a BCG study and the Hackett Group 2024 Procurement Key Issues Report and said, in Managing Procurement in a Price-Sensitive Environment, that:

  • supply chain costs and
  • manufacturing costs

are the biggest levers for cost savings. And while generally true if more than 50% of revenue is being spent outside the global organization’s many four-wall structures, it’s not true if most of the spend is internal (on headcount, property, etc.).

And it’s not true at all in the current environment in America where now tariffs are increasing costs by up to 145% (and there’s no solution, beyond BTCHaaS) and everything is unpredictable.

Moreover, supply chain is generic — is the cost inefficiency in the manufacturer (and if so, is it in their material and component supply chain or in their operation), the distributor, the logistics partners, or the organizational warehousing and inventory management. And if its manufacturing costs, is the bulk of the costs raw materials governed by commodity markets or in the production process? If the former, you can’t do much. If the latter, the assembly line is your oyster.

And then, even if you find the lever, where is it located? Who has access? Do they have the strength and permission to pull it? It’s tough!

Let’s look across the spend (ignoring tariffs because they are beyond your control):

  • products: low quantity, no lever; high quantity, sourcing if the market conditions are in your favour (or about to not be in your favour, so you lock a contract in early for a small hit); if the product was never sourced before, it’s tail spend which typically sees 15% to 30% overpsend
  • services: low quantity, tiny lever; high quantity, across a nation or the globe, if you take a multi-level view, are willing to work with multiple providers, and apply SSDO (Strategic Sourcing Decision Optimization), 30% to 40% can be shaved off with no detriment in service level
  • logistics: mode matters; intermediate storage matters; FTZs matter; source and sinks matter (if you’re selling in multiple countries, you might want to consider producing from multiple countries); easy to take 10% off just with a better network design, sometimes 20% off with a better network design, smarter load distribution across carriers, more cross-docking (and less intermediate storage), and the most appropriate (mixed-modal) transport plan
  • taxes and tariffs: source and sink matters! and, in some countries, so does minority/diversity/etc.; you can cut these in half (or even eliminate them) with better planning; when tariffs can be 20% or more, this matters
  • warehousing: major cities and hubs are expensive, secondary locations can be a fraction of the cost; and if smartly located, can cut your “local” distribution costs to your “local” stores, plants, offices, and/or customers; for years all the studies said inventory cost can be as high as 25% of product cost; better management (not just JIT, that can lead to more stock-outs and losses than a few extra percentage points) can halve this while reducing stock-out rates
  • facilities: if you’re willing to consider a balance between on-site and remote, shared spaces (and designated lockers), locale of choice, costs (and savings) can vary wildly; millions can be saved here in larger companies;
  • personnel: you pay the best people the best rates and you keep them as the best deliver an ROI multiple that is many times an average Joe; but that doesn’t mean you have to overpay for benefits (and with good negotiation, you can get great benefit plans at below market average rates); this can be hundreds of thousands to tens of millions

There are many levers, and the savings potential differs by industry, company size, organizational Procurement maturity, and individual company.

In other words, don’t just look at the top two or three levers, look at all of them and focus on the ones with the most potential, even if they are on the bottom of the “expert lists”.