This is the final installment, Part 6, of our series on the dangers of SCM Vaporware. Read Part 1: Unmasking the Dangers of Vaporware in Supply Chain Management for the series overview, and Part 5: Defending Against SCM Vaporware for legal defense strategies.
Across this series we have looked at what vaporware does to a supply chain: the money it absorbs, the operations it stalls, and the contract terms you need to claw anything back.
Diagnosis is the easy half. The job is still to build a network that holds up. This last part turns from defence to what to buy instead, and the argument is simple: prefer software that is demonstrably working now over software that is promised.
The Shift: From “Silver Bullet” to “Reliable”
The weakness vaporware sellers rely on is the wish for a single product that fixes everything at once. That wish has to go. Resilience rarely comes out of one large rip-and-replace programme.
It comes from reliability and from things that already work.
So change the question. Not “what could this software do later” but “what is this software doing today, for whom, at what volume”. That one change filters out most vaporware. A duller product that is running in production for customers you can ring up is worth more than an ambitious one that exists as a slide deck.
Buy in Increments
The antidote to vaporware is buying in pieces. Rather than one end-to-end suite bought on a promise, assemble what you need from parts.
A composable supply chain uses specialised products joined by well-documented interfaces. Instead of waiting three years for one vendor to finish an all-in-one platform, you put in a warehouse management system (WMS) this quarter that works, and a transportation management system (TMS) next quarter that works.
Buying in increments gives you three things:
- A measurable result per step. Each piece was bought to change one thing. Name that thing before you buy, read it before and after, and you will know inside the quarter whether the piece earned its place.
- Contained risk. If one piece disappoints, you replace it without unpicking the rest.
- Resistance to vaporware. A product that has to work on integration cannot be sold on a roadmap.
Define the Outcome Before You Shop
Most bad software purchases start as a category rather than a problem. “We need an AI-powered supply chain” is a shopping trip. “We need to cut the time it takes to onboard a tier-2 supplier” is a requirement, and the difference decides what you end up owning.
So write down why you are buying before you look at what to buy:
- Weak: “We need an AI-powered supply chain.” This leads straight to vaporware.
- Strong: “We need to cut tier-2 supplier onboarding from however many days it takes us now — look it up — to a target we name, and here is the evidence we will accept that it happened.”
When the requirement is that specific, evaluation gets easy. Ask each vendor to show it, in a test environment, with your data formats and your worst supplier record. A product that does not exist cannot pass that test, and no amount of presentation gets round it.
Data Quality Beats “Advanced AI”
Vaporware sellers pitch advanced AI as the answer to supply chain problems. But the best algorithm in the world is useless on data that is wrong, late or held in four places that disagree.
Resilience is built on data you can trust before it is built on anything clever. Before buying prediction, fund the unglamorous work: standard definitions, master data that one team owns, and a record of where each figure came from.
The test is blunt. If your ERP cannot tell you how many units of a given item are in a given warehouse right now, nothing layered on top will fix your supply chain. Fix the record first.
Leave the People in the Loop
Supply chains are run by people. Vaporware often promises to remove them entirely, which is both unlikely and undesirable.
Resilient operations use software to take the repetitive work off people — matching invoices to purchase orders, chasing the same exception every week — so that experienced staff spend their time on the problems that need judgement. Exception management, not replacement.
Test that in the way that matters: have the people who will actually use the software use it during evaluation. If it confuses them, it will be worked around, and software that is worked around is as useless as software that does not exist.
Conclusion: What Resilience Actually Takes
Disruption is now the normal condition, and waiting for promised software is an expensive way to spend a year.
Resilience comes from being strict about procurement. Reject what cannot be shown. Buy in increments. Write the outcome down before shopping. Fund data quality ahead of prediction, and keep your people in the loop. None of that is exciting, and all of it survives contact with a bad quarter. The future belongs to the functional, not the fictional.
Frequently Asked Questions (FAQ)
What is a “composable architecture” in SCM?
A way of building the software side of a supply chain out of specialised, replaceable products — a separate WMS, TMS and demand planner — joined by documented interfaces, rather than one large suite from one vendor. It resists vaporware because each piece has to work on arrival.
Why does a specific, measurable requirement defeat vaporware?
Because vaporware is sold as a category and fails as a task. A vendor can talk fluently about AI. Asked to process one multi-currency customs declaration, end to end, in a test environment, with your data, the gap between the two becomes visible in an afternoon.
Is all new SCM technology vaporware?
No. There is real work happening in robotics, tracking hardware and forecasting. The test is not novelty; it is whether the thing has been built and run somewhere you can verify, as opposed to described.
How do we convince the board to buy the duller product?
On risk and on evidence. Bring your own before-and-after figures from the last increment you bought, because they are the only numbers in the room that belong to your operation. Then set them against what a multi-year programme costs before it shows anything at all.
How do we start this week?
Stop any purchase that has not included a live test on your own data. Then write down the three operational problems that hurt most, with the current figure for each, and ask vendors to demonstrate against those three. Nothing else needs to happen first.
