Category Archives: Decision Optimization

Only an Optimization-Backed Sourcing Platform will Answer a Buyer’s SOS


We all know the importance of a good Sourcing Platform to power our Procurement Value Engine. But even after multiple posts (on Sourcing Innovation) and (white) papers on the topic, one still might not be convinced that an optimization-backed sourcing platform is truly necessary. If the organization is still getting reasonably good results from its (last-generation) sourcing suite, has a large number of templates, workflows, and processes configured for its key/strategic categories, and has a consultancy/service provider that handles its tougher events (and they use an optimization-powered platform for those few really complex or high-dollar categories), it might think that everything is fine. And the reality is that everything is fine … until it isn’t!
from How Optimization-Backed Sourcing Platforms Save Our Souls . . . Or At Least Our Backsides


One has to understand that disruptions don’t only occur in the supply chain after the contract is signed, they occur during the sourcing process, and a significant disruption can result in an evergreen contract renewing at above market prices (which is bad) or a contract expiring and the organization left with insufficient inventory and no source of supply in a tight market (which is worse). And even if the disruption doesn’t result in an evergreen renewal or a (costly) inventory stock-out (that shuts down a production line), it can still result in increased costs, increased risks, and missed opportunities.

Sourcing events need to go smoothly, but in a typical sourcing platform, as may of you know, that’s not always the case. Sometimes suppliers change the rules, and sometimes the rules just change, and everything, as they say, quickly goes to hell in a handbasket.

For example, all of a sudden at the 11th hour, a fire happens or a border closes, and a supplier offers you a backup location, or pulls out, and you need to bring in a supplier at a new location. Your transportation bids are useless, your risk profile is unuseably skewed, and maybe even your whole event setup is useless, and you have to start over. And this is just one of a dozen scenarios that can flip an average buyer’s world upside down with an average sourcing platform.

But if you had a flexible optimization-backed sourcing platform, instead of going back to square one, you’d just keep on truckin’ with an optimization-backed sourcing platform as they are designed, from the gorund up, to support dynamic, complex, cost models, dozens of what-if scenarios, and ever changing real-world requirements and made for change.

A factory and associated lanes disappears, no problem, it is just removed from the model with a single click. A new one is added? No problem, define the associated end points, the lanes are automatically populated, and a partial bid survey can be resent to all incumbent suppliers for revised bids. These are then loaded into the model, amalgamated with current bids, and the model is solved. No starting from scratch, creating new RFPs, creating a new model structure, etc. Just a few simple changes, a few new bids, and everything keeps on going like nothing ever happened.

And this is only one way optimization-backed sourcing platforms save a buyer’s behind. For more, check out the doctor‘s latest paper on How Optimization-Backed Sourcing Platforms Save Our Souls . . . Or At Least Our Backsides, sponsored by Trade Extensions, and realize that if you don’t have one, you need a proper sourcing platform today.

Millions Saved. Pennies Spent. Why Won’t They Learn?

Trade Extensions recently released a new set of case studies chronicling just half a dozen sourcing projects it did over the last couple of years for its fortune 500 clients that chronicled, on average, savings of 10% or more which ranged from 500K on a 5.5M category to 28M on a 200M category. All of these companies saved tens of millions (or more) and only spent in the six figure range for the Trade Extensions solution, which means for every penny it saved a dollar.

It is not just the magnitude of the savings that is significant though – it is the breadth of the impact. The air freight example not only identified a savings potential of 42%, with a realized savings of 21% (when the company took risk, performance, and preferred vendors into account), but also identified a scenario which improved service levels and reduced risks while delivering 21% savings.

The compliance reporting example helped an organization that, due to the scale of it’s operations, took five days to analyze the output of its Transportation Management System (TMS), reduce its retrospective analysis time to a proactive operations step that automatically executed in 30 minutes or less, and allowed the organization to, for the first time, ensure its product movements were consistent with the awarded contract scenario.

In the full truck load and global packaging examples, the companies were able to rationalize the supply bases by 25% to 40% while reducing cost and at least maintaining service levels and risk (if not increasing service and decreasing risk).

But yet these examples are rare. Every year many organizations as large, or larger, than these continue to spend close to, if not, seven figures on their first generation sourcing or source to pay platforms while generating savings that, instead of being in the 10% or more range, are in the 2% to 3% range, which means that the organization is essentially spending dollars to save dollars — which does not make good ecnoomic sense. Especially when a modern optimization (backed sourcing) platform can always be run along side existing supply management system and used as appropriate to generate 3X to 5X the savings and value than the organization would otherwise obtain.

So while the leaders have learned, why won’t the laggards learn?

Keelvar: The Little Engine that Could

In case you haven’t guessed, this post is about The Little Engine That Could not only get up the big hill, but after scaling the hill, decided to follow the tracks up to Alaska, tackle, and climb, Mount McKinley (also known as Denali), which is the highest mountain in the United States at 6,190.5 meters (or 20,310 feet), and not stop until it reached the summit.

For those of you who missed our prior posts, namely Keelvar: Strange Name. Uncommon Results., Keelvar: Are They Right for You, and Re-introducing Keelvar, An Optimization-Backed Sourcing Platform, Keelvar, which is the newest, and still the smallest entrant, to the strategic sourcing decision optimization game, and one of the few (correction: two) vendors to provide a fully integrated optimization-backed sourcing platform (with integrated RFX and e-Auctions), has been making great strides since it spun-out of the 4C research laboratory (in the Department of Computer Science) at the University College of Cork a mere four years ago in 2012. Since then, it has been advancing faster than all of its peers except Trade Extensions, and has emerged to become a top contender for the provision of optimization-backed sourcing platforms. In fact, as hinted at in an upcoming Pro piece, the doctor expects that Keelvar will grow faster than 4 of its 5 five competitors over the next few years.

So what’s so great about this little upstart? The first thing to note is the ease-of-use of the platform. The platform, which embeds a simple-to-follow seven-step best practice sourcing platform, literally guides even the most junior of buyers through the most complex events the platform can handle, and the side-bar navigation makes it a breeze to quickly access any step in the process. (The tried-and-true best-practice methodology is strikingly similar to what MindFlow used back in the day, but it never had such an easy to use, clean, and modern interface.)

The second thing is the speed of improvement. Since SI last reviewed the platform last fall, a number of considerable of enhancements have been made that go well beyond usability. Extensive supplier self-service has been added (which allows the supplier to manage not only the response and bid process, but the team assigned to it – all the buyer has to do is invite one supplier rep, and that supplier rep can create the supplier organization’s records, add users, give them appropriate, fine-grained read/edit rights to the documents and bids, and manage all of their effort without any buyer involvement whatsoever). Single-sheet smart-load (which allows the platform to detect field-types, field-status, and other relevant information without a user having to define a lot of meta-data or use the cell-based encoding required by other platforms) has been developed. And parametric bidding is in quality assurance.

Parametric bidding is, in a world, cool. Often in the acquisition of fleets, computers, cell phones, etc., the buyer doesn’t precisely know the exact configuration details that are desired until the last minute. In this situation, the buyer has to either create a huge number of potential configurations for bidding, or pick a few and hope for the best. With parametric bidding, the supplier can bid on a base configuration and define all of the options they offer against that configuration as well as the price increments (or decrements) for that option. When the final configurations are selected, the system will automatically calculate the appropriate costs (and discounts) from the parametric sheet for the optimization model, with no effort at all required by the user. This is a feature that is jut not seen in first generation sourcing platforms. Watch for it.

Keelvar, which was first named as a SpendMatters company to watch last year (and which will soon be covered in depth on Pro by the doctor and the public defender), is a company that you should be keeping a really close eye on. Optimization-backed sourcing platforms are the future. and right now there are one of only two providers with a single, integrated, end-to-end, solution. We may see more in the future (with BravoSolution working on integrating its two product lines, SciQuest’s acquisition of CombineNet, and Determine’s acquisition of Selectica), but Keelvar (and Trade Extensions) have an early lead that gets larger every day their competitors work on integration (as opposed to innovation).

Now, you’re probably worried about adoption, because first generation platforms were, for the most part, so damn hard to use (to put it bluntly), but second generation optimization-backed sourcing platforms are actually quite easy to use and focussed around adoption. For more information on how to get Higher Adoption, check out the linked white-paper. And for more information on Keelvar, we recommend checking out their new, open, Keelvar support portal.

Why You Need Mass Adoption Of An Optimization-Backed Sourcing Platform

Last week, in our post on why Higher Adoption is Where the True Value of Optimization Lies, we emphasized the importance on not just having optimization, but an optimization-backed sourcing platform that can be used by the most junior of buyers. We focussed on the efficiency, time savings, and value such a platform would bring, but didn’t give you any hard numbers. While the hard numbers will be hard to come by, SI expects that the savings that hit the bottom line from such a platform will increase by at least 150% over using stand-alone optimization, and more than likely will double what an organization would see if it just used a regular strategic sourcing platform without optimization. We know that 2.5X is not a very impressive number when vendors go around talking about 10X ROI, but the ROI that vendors promise is relative to the cost of the platform, not the ROI relative to the organization’s bottom line, and that’s what really counts.

The reality is that, at the end of the day, after COGS, depreciation, taxes, etc. are factored in, a good Procurement organization might only take 2% off of the bottom line. This doesn’t sound that impressive, unless the organization is a 10B organization where 2% is 200M, in which case it’s knock your socks off impressive. Now imagine if that same Procurement organization could increase the straight to the bottom line savings by 150% and show a bottom line savings of 5.2%. That’s another 320M in annual savings for a total savings of 520M! That’s buy everyone on the Sourcing team a custom made Jaguar savings because no other initiative is going to take that much off the bottom line.

But you don’t have to be a 10B organization to see the impact. Imagine you are a small mid-size organization with only 100M in annual spend. Instead of seeing an average year-over-year impact of 2M, you’d see 5.2M. If a fully burdened FTE is 200K and you had a small Procurement department of 5 people managing your spend, the department’s ROI would go from 2X to 5.2X in a single year, and that is quite significant.

So where are these, quite conservative, numbers coming from?

  • A Best In Class Organization has 80% of spend under management (Hackett, Gartner, etc.)
  • A Best in Class Organization will strategically source approximately 1/3 annually (due to resource restrictions) (Crowd Wisdom approximation used by many vendors)
  • A Best In Class Organization with stand-alone or hard-to-use optimization capability will only put the top third of complex, strategic, or high volume spend through the organization (Generous crowd wisdom approximation based upon SI’s interaction with optimization vendors)

As a result, (at most) one-third of one-third of four-fifths of spend gets optimized on an annual basis, or about 9% gets optimized using strategic sourcing decision optimization and the full extent of its capability.

However, if the organization has an optimization-backed sourcing platform that is configured for one-click evaluations and automatic weighted auction awards for low-cost / standard categories,

  • 98% of spend can be under management (as it can flow through the platform as easy as it can flow through an auction or spot buy RFP),
  • one half of that can be sourced annually due to efficiency gains
  • and all of this spend will be subject to optimization.

This means that about one half of organizational spend, or about 48% of spend, can get at least partially optimized on an annual basis. In other words, an organization can subject 5x its spend to optimization on an annual basis.

The net result is that an organization that adopts an optimization-backed sourcing platform that can be used by every buyer will see at least 150% more savings hit the bottom line every year. Why?

If we look at the numbers:

  • the average return from Procurement at a world class organization is 4.7% (Hackett Group)
  • the average return on tail spend (which is never strategically sourced) is 7.1% (Hackett Group)
  • the average return from SSDO on a strategically sourced category where the full power of the solution is enabled is 12% (Aberdeen)

This leads to the following (where we assume 20% of spend is “tail spend”):

Traditional:
09% using SSDO @ 12.0% savings = 1.0% savings
18% using SS   @ 04.7% savings = 1.0% savings
TOTAL = 2.0% savings
 SSDO Platform
38% using SSDO @ 12.0% savings = 4.5% savings
10% using SSDO @ 07.1% savings = 0.7% savings
TOTAL = 5.2% savings

Now, mileage will vary among organizations, but this example should make it pretty easy to see that optimization is a huge value driver that will have a significant impact on your bottom line when it is widely deployed.

So if you want to know what to look for in an optimization-backed sourcing platform, download Optimization: Higher Adoption is Where True Value Lies (registration required) today and find out what you need to take optimization from a success to a smashing success in your organization.

Higher Adoption is Where the True Value of Optimization Lies

Today, Sourcing Innovation (SI) released it’s latest optimization paper, sponsored by Keelvar, on Optimization: Higher Adoption is Where True Value Lies (registration required).

As SI has said repeatedly, optimization is the ultimate sourcing strategy, but optimization is still grossly under-utilized. And this is a crying shame. Because of this, an honest appraisal of its failure to become the de-facto standard approach in all mature Procurement functions is overdue. That’s why, unlike most of SI’s papers to date, this paper looks at the softer side of optimization and starts out by taking a look at why adoption rates are historically low before discussing what is changing in the marketplace and how a radical increase in adoption could be just around the corner. An increase in adoption that is sorely needed if the true value of optimization is to be realized.

So, while previous papers focussed on defining complex sourcing and what comes next, this paper focusses on what is critical to drive adoption: the needs of the average buyer and supplier. It discusses the need for flexibility, speed, and simplicity above feature-bloat and power. The need for user-friendliness over functionality (as only a few categories require the full power of today’s optimization engines). The myths that have been holding you back. And what a modern platform needs to increase adoption not only by Procurement organizations but, more importantly, by users within a Procurement organization. The maximum value is obtained when everyone uses the optimization-backed sourcing platform. Not just a few super-users.

We discuss, for example, how a platform that supports an instant analysis after each RFP is submitted that presents the lowest total cost of ownership taking all costs, capacities, and business constraints into account provides a buyer with considerable value as the buyer can go straight to negotiations, or contracting. These new platforms prevent the buyer from having to waste countless hours on side-by-side comparison reports and off-line analysis to identify the best buy for the organization. This usability allows the platform to be applied to every category, which not only gets more spend under management, but, at the end of the day, pushes more savings straight to the bottom line.

SI strongly recommends that you download Optimization: Higher Adoption is Where True Value Lies (Registration Required) today and then, if you don’t have such a platform, do something about acquiring such a platform.

For example, the vendors who have a true optimization-backed platform will happily demonstrate the power of their platforms on one or more categories you have run in the past. Pick a direct or indirect category (not transportation or packaging, every optimization vendor can do these over-analyzed categories well) where you’ve had issues due to stakeholders not being happy, actual savings being far less than expected, supplier relationships fraying, etc. Then, contact one of the few optimization-powered sourcing solution providers, provide your data, define your constraints, and watch them demonstrate in a matter of minutes how much you could have saved.

But since that won’t be enough, because every CXO says you could always do better in hindsight, kick-off a low-cost paid trial (see SI’s previous post on why paid pilots are the future) on a few jointly-selected current, critical, categories that typically hide large savings opportunities that the organization has never been able to tease out. As the provider helps you run these events on their turn-key SaaS cloud-based offerings, you’ll quickly see the power, the ease, and the real-world results that you can use to build an internal case for acquisition of an unlimited platform license that will quickly be followed by mass adoption. And since it doesn’t cost six (or even seven) figures to get started anymore, there’s no reason not to do it.