Too much time preparing decisions,
too little making them
Predict. Plan. Perform. One decision layer across supply chain: Demand, Inventory, Manufacturing, Sourcing, Logistics and Fulfilment.
The bottleneck is no longer information. It is action.
The planner sees what systems miss. They know the customer who always orders late, the line that never hits standard, the part that goes short every August. None of it is in the master data. All of it belongs in the plan.
Buy one planning platform and you acquire one more spreadsheet per planner, because the spreadsheet is the last place a planner is still allowed to think. That is a verdict on the tools, not on the team. Nobody is asked to leave the place they think. Prediction, continuous rules, scenario tracking and a queryable graph sit underneath the work they already do, so the judgement stays and the assembly goes.
Supply chains have digitised the workflow, not the decision.
If the problem is decision quality, the platform must be organised around decisions, not workflows.
Held in excess working capital across the thousand largest European companies, fourteen percent of their combined revenue. Days inventory outstanding rose to 68.9, the highest in a decade, and the cash cycle has deteriorated three years running.
Only one supply chain leader in ten will let AI make a critical decision without human review, and only thirty two percent are actively scaling it. Agentic AI sits at the very start of the analyst hype cycle, not the end of it.
Four in five practitioners run sales and operations planning in Excel or Google Sheets. One in twenty uses the dedicated platform their company already bought. Half of the largest manufacturers still plan production on paper or in a sheet.
- The Hackett Group, European Working Capital Survey, Nov 2025 (1,000 largest European headquartered non-financial companies)
- RELEX Solutions, State of the Supply Chain, Jun 2026 (500+ supply chain leaders; the publisher is a planning vendor selling into the problem it describes)
- McKinsey, supply chain survey, Nov 2023 (n=101; fieldwork more than two years old), 41% of advanced planning system owners still report excessive manual intervention
- Gartner, Hype Cycle for Supply Chain Planning Technologies, Nov 2025
- AbcSupplyChain, S&OP Survey, Nov 2025 (n=164 practitioners, 54 countries, 23 industries; self-selected audience of a training provider)
- Qlector, How Leading Manufacturers Plan Production, Oct 2025 (largest Slovenian manufacturers, sample size not disclosed)
Six domains on one decision layer
A supply chain that decides, not one that reports. Every module carries its own applications, built from the same four engines. Open a domain to see what runs inside it.
Learn once, improve everywhere
Thirty problems across six modules, drawn from twelve classes. Eleven of the twelve are shared, so the second module costs less than the first. Every solved problem lowers the cost of solving the next one.
The plan was never the goal. The decision was.
Most platforms stop when the plan is produced. Prophesee continues until the decision is tested, actioned and proven. The best any category achieves today runs from storing the data to publishing the plan, and stops at administrative certainty.
We carry it further: predict the risk, surface the exception, evaluate the response, commit to a decision and prove the outcome. That is decision confidence, and it is the territory the incumbents leave empty.
Everyone optimises the plan. We optimise the decision.
Prophesee Supply Chain Suite
Four decision engines under every module
Foresight predicts what is about to go wrong, early enough to act on it. Pulse watches everything continuously and raises only the exceptions that matter. Horizon tests an intervention against scenarios before you commit to it. Nexus answers plain language questions across every system, then drafts the action.
Eight weeks to a value you can see
Prove value before scaling. Start with one decision. Pick the module that hurts most, agree the metric and the baseline in week one, run on your data with your planners, and measure the result against the baseline we agreed.
Design
- Select the decisions that best validate the case
- Capture today's baseline to measure against
- Agree dates, owners and expected outcomes
Develop
- Connect the systems of record behind the decisions
- Configure the suite applications on your data
- Capture the rules that turn output into action
Deliver
- Validate results with end users against the baseline
- Prove the agreed metrics with the evidence attached
- Hand over the running system and plan the next modules
Proven, not promised
Real-time tracking of spend against budget with early warning for at-risk vendors and improved cash-flow management.
Choose one or more modules and start the evaluation
Pick the module where the pain is sharpest. Agree one baseline, signed off in week one. See the result, measured on your data, in your systems.