Optimization Still Saves Double Digits — Why Aren’t You Using It?

Sourcing Innovation has been publishing for eighteen (18) years (over which it has published over 6,000 articles — inspired by the GruntMaster), with the first article published on June 15, 2006 with regular coverage since, including a push for all events to use sourcing optimization in Supercalifragilisticexpialidocious.

The reason is simple. It’s one of only two technologies that has been proven to identify savings in excess of 10% for almost 20 years (the other being spend analysis). The International Business Times recently reminded us of the power of this solution when it published an article on how Procurement Expert Sylvia Zhou Reduces Operational Costs by 13% Through Strategic Supply Chain Optimisation.

When we read how Zhou’s shift in sourcing strategies and supplier relations management allowed for a drastic reduction in operational costs by 13%, it reminded us of how decision optimization is not restricted just to sourcing and logistics, where it has traditionally been used, but saves across the supply chain, as discussed in our recent post on comprehensive optimization.

According to Zhou, with her team, she assessed their entire supply network, identifying bottlenecks and inefficiencies. By partnering with suppliers aligned with their operational goals and technological capabilities, they could streamline processes and cut costs. This approach worked so well that post-optimisation, her company reported a 33% increase in profits, attributed mainly to the reduced cost of goods sold and improved operational efficiencies.

And the best way to identify logistics efficiencies, product-based savings, and opportunities for operational efficiency is optimization. Sometimes there’s no better way to identify significant savings. So, go forth and optimize!

Supply Disruption Has Been The Top Procurement Risk For At Least the Past 15 Years

… and it’s too bad it took the worst global pandemic in 100 years, two wars, exacerbated natural disasters (including one of the worst global wildfire years on record), and Panamanian droughts for Procurement leaders to realize this. (Basically, the fact that a Gartner survey finally confirmed this should not come as a shock!)

When you go back to basics (i.e. the business 101 that it seems most business leaders have been skipping for the last couple of decades), there are two truths that all businesses are subject to:

  1. Profit = Revenue – Expenses, which makes the CRO and the CPO the two most important people in the business, and if market conditions prevent revenue from increasing, the CPO becomes the most important
  2. Business that sell product need to make or acquire product to sell. This requires supply and people.

This says that, when you abstract it high enough, your two three primary risks are:

  • supply (no supply, no product; no product, no sales; no sales, no capital)
  • talent (the skilled resources to acquire/make the product economically and run the company)
  • capital (you need money for supply, talent, and operations)

And when you dive in, you see that supply disruption is far and above any other risk because:

  • today’s supply chains are global and require multiple forms of limited transportation
  • with thousands of suppliers in dozens of countries and regions (across 4, 5, and sometimes even more tiers)
  • which are all exposed to the economic, environmental, geopolitical, and societal risks in the locales in which they operate
  • which means you are exposed to all of the economic, environmental, geopolitical, and societal risks in which they operate!

Thus, if your extended supply chain spans 30 or 40 countries, then you are exposed to every risk of those 30 or 40 countries at all times!

Given the drastic increase in multiple

  • economic,
  • geopolitical,
  • societal, and
  • environmental

risks over the past two decades, as well as the increase in cyberattacks, which makes the weakest unknown supplier in your supply chain your weakest link (if a hack into their system provides a backdoor into their buyer one tier up the chain, which then provides a backdoor into their buyer one tier up, until the hackers trace their way back to you through a chain of back doors).

Given that, right now, multiple risks in multiple risk categories are materializing every day on this planet, at a rate that exacerbates annually, we are at the point where no company is going to even go a year without a risk event impacting their supply. (This doesn’t mean they won’t get it, just that it will be late or cost more, and either could cause substantial loss.)

So if you’re not sourcing and procuring with mitigation strategies in mind at all time, start now. Multi-tier visibility is no longer enough. Advance warning is no longer enough if you are not ready to act with another option.

We Want to Be a Smart Company — What Else Can We Do! Part 1

We’ve read the dumb company: how to avoid the fork in the road (part 1 and part 2) and dead company walking: avoiding the graveyard (part 1, part 2, part 3, part 4, part 5, part 6, part 7 and part 8) articles, taken them to heart, admitted we’re making some mistakes and that we’re not doing some key functions as well as we could. Most importantly, we know we need to do more to avoid becoming a casualty of the next mass corporate extinction that’s coming. So, can you tell us what else can we do to avoid becoming a dead company walking (or, even worse, a zombie company*)?

01) Get Help to Identify Where You Need Help

We’ve (kind of) said this many times, but we’re saying it again. You don’t know what you don’t know. Get help from an expert who’s been in this space for at least a decade (and seen what’s worked pre- and post- the last two consolidations), and preferably the last two decades (as this cycle is going to be the worst since the late 2000s and most of the new generation of “thought leaders” and “experts” might not have a handle on what’s coming). There’s still a few of us left. See this posting where the doctor freely directs you to long-time experts in the space (which include areas he’s not the best suited to help you and areas he is … if you’re offering a solid solution to an industry segment that is currently helping your customers, he’d rather you get help and survive than not).

02) Improve Blogger / Independent Analyst Relations

Let’s face it, you’re probably not going to get much help from the big analyst firms. They’ll take your money and throw you their standard research that is mostly useless to you (because you need research customized to your niche and your needs); then take more of your money and only give you a mostly useless write up (with limited reprint rights in that you could do the write up yourself, but then you won’t have the logo) in return; then take even more of your money and put you on the map that everyone knows mostly consists of the same big companies year after year (due to limited analyst time) who are usually paying customers (as the analysts know them best) and typically only suited for F500/G3000s (because they are high priced suites); and then, if you still have any money left, take the rest of it and write about whatever tech you want them to and provide great shill for your marketers. But not once will they tell you if you’re going in the right direction or help you innovate (only if it is the current perceived market direction). It’s not their model.

03) Double Down on Education

It’s not just about what your product can do, but what your customers need to know to advance on the Procurement maturity ladder (where the majority of organizations are still on the floor reaching for the first rung, despite all the work done in the 2000s on how to climb the ladder). You need to educate them on what they should be doing, why, and then teach them what types of technology can help them even before you tell them about your technology. As per our dead company walking: avoid the graveyard series, education first is how you win in the end. Pace yourself while your competition runs themselves into the ground and drops dead. Always remember it was the tortoise (who can live 30 times as long) that won the race!

04) Thought Leadership Trumps Marketing Madness

Not only do you need to double down on education, but once you walk them from where they are to where they should be, and show them how your solutions solves a significant number of their primary problems, you still have to show them the wonders that lie ahead and accompany them on their journey through the dark forest until they, one day, reach the light. You have to convince them up front you are going to do this, do this through the implementation, be there every step of the way through the first few months as they get their tech legs, and then always be there to lend a hand when they need it.

While it might be time consuming at first, this won’t be as time consuming or strenuous as you think on an ongoing basis if you teach them how to learn for themselves and solve problems, as time goes on they’ll call on you less and less. It will eventually just be a quarterly check in to see how things are going and offer new thought leadership to help them up their game.

05) Focus on the Community

Find where they are engaged and go there, or, if they don’t have a place to engage, create one and bring them to you. Do you have a local chapter of a professional association where senior buyers or procurement leaders regularly engage? If so, go there. And, most importantly, leave your tech behind. Just educate them on an important topic and what they should be doing to ensure they are handling it appropriately. Seeing a big problem in tail spend in your clients, educate them how to identify it, manage it, and track it before high priced or unapproved purchases get out of control. Seeing a lot of companies unprepared for a new legislative requirement about to come into effect, show them how to identify which relationships need to be better managed, which contracts might need to be updated, and how to identify which risk mitigations are appropriate. Etc. If you impress them with your knowledge, they’ll come to you if they need help identifying a solution. Then, if yours is the right fit, and they’re a private company, they might even skip the RFP.

Stay tuned for Part 2!

A Company Should Never Build Its Own Enterprise Software Systems …

… and the fact that, apparently, hundreds are now thinking about building their own custom ProcureTech systems (as highlighted by a DPW Kearney presentation and referenced in THE REVELATOR‘s remote dispatch) demonstrates that the current marketing and methodologies being employed by software vendors, consultancies, and analyst firms are abysmal failures (and reinforces my statement that PROCUREMENT STINKS and that we have to clean it up)!

(The only partial exception is if a software company is building a piece of tech for a company of its size and industry, i.e. tech sourcing for startups, then it should use its own software and eat its own dog food, but it should not build any modules it doesn’t intend to sell.)

Why?

1. A company that is NOT a software company is NOT an expert in building products.

Moreover,

1b. A company that has not been validated to be best in class across the board in a function (and no such company exists, FYI) is NOT an expert in what it should be doing process wise, only on what it is doing process-wise.

As a result, it might not even be in the best position to design digital workflows, and especially not automated ones. Furthermore, even if it could do better than most on the digital workflows and automation, that doesn’t mean it can identify the right technologies for those workflows or the right stacks to build them on. And it certainly doesn’t have the chops to ensure the technology is secure, respects privacy rules, uses safe third party tech, keeps it up to date, etc.

In order to get these chops, they would have to hire a full IT team, which is very expensive, and would soar the lifetime solution cost to 10X or 20X what a solution offered by a modern SaaS provider with a multi-tenant stack would cost. With a significant percentage of that cost Up Front!

There only other option is to farm it out to a consultancy, and who are they going to choose? Probably a Big X. (You know, usually the exact opposite of who you should be hiring for niche / new technology, as pointed out in our post on When Should You Use Big X. )

2. Building takes years, and by the time it’s built, it’s out of date.

Companies need solutions now, not solutions in two, three, or five years … solutions that, by the time they are rolled out, are already outdated.

Moreover, by the time it’s rolled out, your other organizational systems are going to have changed, and then you have to integrate all the other systems to your custom solution on your own as your vendors won’t have out of the box connection options to your custom system, and that’s additional work and expense before you can get your outdated system rolled out.

3. It’s not about the product, it’s about the process.

Which means what a company really wants is a solution that embodies standard best practices with configuration options that allow the buyer to tweak it to their specific needs. As well as a solution that integrates well with their current ecosystem and provides the people who need it access when they need it as well as visibility when they need it. (In today’s verbiage, intake and orchestration, which is not new … intake was fully there in Coupa 1.0 [with respect to what the platform could do] in 2006 and Ariba was working on e-Forms back in 2000.)

3b. Furthermore, it’s about the data that drives that process!

And the most important requirement is the ability to export all system data in a standard format at any time! (Which is what almost everyone overlooks, because systems come and go, but as long as you have the data, it doesn’t matter.)

The Conclusion

And when you look at this, and you look at who’s out there, you have to wonder why more than a few companies couldn’t find at least 3 to 5 potentially good options for any ProcureTech need. The only reason, as far as I can tell, is they can’t identify them. (Because they are out there for almost every need in almost every organization in almost every industry across almost every region. As someone who has reviewed over 500 solutions in depth over two decades, the doctor says this with certainty.)

So why can’t these companies identify good vendors? As has been repeatedly commented on LinkedIn by the doctor and THE REVELATOR: there’s too much noise!

Marketing has devolved into a constant stream of one-way buzzword soundbites … which we tried to demystify a bit in the linked article earlier this year, but AI-backed, orchestration, autonomous, smart, etc. is all meaningless, and people know it.

In order to make a proper technology identification, a buyer needs to identify technology that solves the problems they are facing every day — which means they need focussed, educational, messaging that tells them about real problems the vendor’s technology was designed to solve. (Something we used to have a lot of in this space, but something I haven’t seen much of since the big M&A mania in the latter part of the 2010s where ProcureTech became the new FinTech, big enterprise investors moved in, and it became all about sell, sell, sell [and not solve, solve, solve].)

Now, this is something we should be seeing from analyst firms, but we don’t. We just see the same old maps with the same old enterprise vendors which hand over six, if not seven, figures a year to the firm to be included in their quadrants, waves, and marketscapes. Maps which are meaningless when each axis has like six different, usually subjectively scored, dimensions meshed into one.

And of course consultancies aren’t helping because the mid-markets exist by specializing in implementing smaller suites and best-of-breeds and living off of implementation referrals to the solutions they’ve learned to implement; while the Big X will quite happily tell you to build your own because they expect they will be the ones to design and build it, charging you tens of millions for something you might be able license for 1 Million a year, implement for 250K, and integrate for 500K if you are happy with an 80% to 90% solution (and then use the Big X for staff augmentation or custom extensions at a lower up-front cost, saving money for more valuable services later when you should use the Big X (and not cheap out on a low-cost consultancy without the experience).  (It would be very poor business for the Big X to turn you away!)

But at the end of the day, while it’s still buyer beware and a buyer should do his homework before engaging any vendor, we can’t help but think that a share of the fault lies with the majority of vendors who have abandoned solution first, education first methodologies and allowed revenue operations to switch to a marketing and sales first approach with no questions, please.

the doctor can’t wait for the coming rapture where THE REVELATOR has predicted that 75% of ProcureTech vendors won’t survive unscathed, because only two groups of vendors are going to survive — the really big suites with enough customers to keep going on current install base, and the new vendors who are smart enough to go back to basics, solve real problems, and lead with real solutions. Those are the vendors that SI has focussed on since it began, and the vendors that you need!

Advanced Supplier Management YESTERDAY — No Gen-AI Needed!

Back in late 2018 and early 2019, before the GENizah Artificial Idiocy craze began, the doctor did a sequence of AI Series (totalling 22 articles) on Spend Matters on AI in X Today, Tomorrow, and The Day After Tomorrow for Procurement, Sourcing, Sourcing Optimization, Supplier Discovery, and Supplier Management. All of which was implemented, about to be implemented, capable of being implemented, and most definitely not doable with, Gen-AI.

To make it abundantly clear that you don’t need Gen-AI for any advanced enterprise back-office (fin)tech application, and that, in fact, you should never even consider it for advanced tech in these categories (because it cannot reason, cannot guarantee consistency, and confidence on the quality of its outputs can’t even be measured), we’re going to talk about all the advanced features enabled by Assisted and Augmented Intelligence (as we don’t really have true appercipient [cognitive] intelligence or autonomous intelligence, and we’d need at least autonomous intelligence to really call a system artificially intelligent — the doctor described the levels in a 2020 Spend Matters article on how Artificial intelligence levels show AI is not created equal. Do you know what the vendor is selling?) that have been available for years (if you looked for, and found, the right best-of-breed systems [many of which are the hidden gems in the Mega Map]). And we’re going to continue with Supplier Management. (Find our series on Advanced Procurement — No Gen-AI Needed! Yesterday, Today, and Tomorrow; our series on Advanced Sourcing — No Gen-AI Needed! Yesterday, Today, and Tomorrow; and our series on Advanced Supplier Discovery — No Gen-AI Needed! Yesterday, Today, and Tomorrow through the embedded links.)

Unlike prior series, we’re going to mention some of the traditional, sound, ML/AI technologies that are, or can, be used to implement the advanced capabilities that are currently found, or will soon be found, in Source-to-Pay technologies that are truly AI-enhanced. (Which, FYI, might not match one-to-one with what the doctor chronicled five years ago because, like time, tech marches on.)

Today we move on to AI-Enhanced Supplier Management that was available yesterday (and, in fact, for at least the past 5 years if you go back and read the doctor’s original series, which will provide a lot more detail on each capability we’re discussing). (This article sort of corresponds with AI in Supplier Management Today Part I and Part II that were published in April, 2019.)

YESTERDAY

Auto-Fill Onboarding

While early 1st and 2st generation supplier management platforms required a supplier to create a full profile from scratch and enter all of their information, third generation platforms, which define expected formats for each field and have contextual awareness, can pull in the data from third party profiles, market databases, supplier forms, and even csv or xml exports of a supplier’s profile from another site.

Using classical semantic parsing, pattern matching, flexible reg-ex rules based data format validations, and any available meta data, even yesterday’s platforms could auto-fill the majority of a supplier profile form if the data was available in textual format for parsing.

Basic Community Intelligence

As per our coverage of supplier discovery, the reality is that this “AI” like functionality doesn’t require any “AI” at all. Community Intelligence just requires the amalgamation of data across customers, which is easy to do with multi-tenant SaaS as long as the customer agrees to sharing their reviews and insights (which could be part of the contract), and the supplier is made aware (which is part of the waiver to participate in customer events) of what is being shared.

It’s just math for averages, time series for trend series on those averages over time (of quality ratings, performance ratings, OTD ratings, etc.), and consolidation of tagged reviews. The only AI that would be needed is semantic processing if the platform provided a sentiment analysis across the community.

Real Time Performance Monitoring

As written five years ago, the last thing you want is to find out without warning that your primary supplier for a critical component in your new engine, control system, or IoT platform is bankrupt and no more shipments are coming; that a recent shipment has a 10% defect rate that is 10 times the acceptable, contracted, level; or that the custom factory redesign you just contracted for is going to take an extra six months when it should be 80% done.

Also, as written five years ago, none of this needs to be the case. There’s no reason a good platform could not alert you to leading indicators correlated with bankruptcy. Or a pattern of (slightly) late deliveries that is getting worse over time. That defect rates, even if within tolerance levels, have been increasing rapidly in recent shipments. Or that the last three key project milestones haven’t been met and the project is tracking to at least three months late.

With regards to early detection of bankruptcy, pull in financial risk scores monthly from your financial risk provider, look for downward trends (simple math), and monitor for alerts. Use the community intelligence identified above to identify late deliveries. Alternatively, if that’s not available, and it’s a big supplier with multiple customers in your country, monitor the public port data for its shipments … if they used to be every two months, but are now every three or four months, with an average volume per shipment that’s going down, that’s an indicator of trouble. With regards to your needs, track all of the rejected shipments at the warehouse, the returns, and keep a running tab on defect rate over time, again looking for trends in the wrong direction in terms of defects per shipment or returns per month.

There is so much you can do with just math. So do it!

Automated Issue Identification

As per our article five years ago, if the supplier management platform is integrated with organizational Sourcing, Procurement, and/or ERP systems, then the platform can automatically import objective supplier metric data as well as subjective supplier performance data from individuals across the organization that interact with the supplier.

Building on real time performance monitoring, the platform can monitor a whole host of metrics, trend them over time, identify drops that can signify issues, and alert the buyer if a dangerous drop is detected. Again, it’s just math.

Automated Risk Identification

The automated issue identification capabilities of a properly implemented and integrated supplier management platform are great, but as we have hinted above, the best platforms can also detect potential risks using leading indicators spit out by cross-organization metrics, trends, reports, and sentiment.

Remember, in addition to metric data, it can also take advantage of the community intelligence to identify early risk indicators. It can track the overall trend of promotion (against pre-existing tags) of a supplier for specific capabilities and the overall tone and sentiment of comments, and then compare that to the overall trend of anonymized price and performance data, and so on to detect when the performance or rating of a supplier is improving or declining, and, possibly, even how fast a rating might be declining which could indicate not just potential problems but risk.

Now integrate this to third party intelligence platforms with financial, CSR, operational, etc. risk and you start getting 360-degree risk profiles — and super early warning indicators since you never know where they are going to come from (the risk assessors, the community intelligence, or your own metrics). It’s all metrics, trends, and thresholds. Math. Good ol’ math.

Automated Resource Assignment

The best platforms support corrective action management, new product development, and supplier development initiatives. Each of these typically require project plans that require resources to support them, Always human resources and sometimes even physical organizational assets or IP assets (including software licenses).

If the platform is connected into a project management platform which has all of the information on organizational resources, and the organization’s asset management software, since the platform will know what skills are needed for the project, as well as what assets the supplier needs, it’s just a matter of best-match mapping. A great supplier management platform could do that through simple match computations and allocation tracking. When there are conflicts, it’s just a simple optimization problem for the best match.

SUMMARY

Now, we realize this was very brief, but again, that’s because this is not new tech, that was available long before Gen-AI, which should be native in the majority (if not the entirety) to any true best-of-breed Supplier Management platform, that is easy to understand — and that was described in detail in the doctor’s 2019 articles for those who wish to dive deeper. The whole point was to explain how traditional ML methods enable all of this, with ease, it just takes human intelligence (HI!) to define and code it.