Table of Contents
Key takeaways
- A traditional S&OP cycle freezes assumptions days before the executive meeting, so by the time the room convenes, the plan is already answering a world that no longer exists.
- Supply chain decisions balance three interdependent metrics: cash (inventory tied up), cost (expedited production and shipping), and service (lost sales from stockouts).
- Danone cut a quarterly business planning cycle from roughly 80 hours of Excel work over two weeks to one afternoon in Pigment.
- In a live demo, a simulated 80% supplier price increase showed an $11 million gross margin hit, built and compared against a base case in three clicks.
- Blending in an alternative supplier cut that projected margin gap down to $1.7 million.
The plan is outdated by the time you present it
Laurent Bédu, Solutions Principal at Pigment, opened the supply chain session with a scenario most planners recognize. A monthly S&OP cycle builds toward an executive meeting where the team locks in demand, supply, and production assumptions for the next 18 to 24 months. Between locking those assumptions and walking into the room, reality moves: a customer order gets postponed, a production line breaks down, an unplanned weekend shift doubles a cost line. The plan on the screen is already describing a world that no longer exists, and executives notice. They ask what happens if a maintenance window runs three weeks instead of one, or if the team builds stock instead of taking the line down, and the honest answer is usually "let us run the numbers and get back to you."
Bédu called this supply chain's golden triangle: cash, cost, and service.
- Cash: inventory ties up capital you only recover when you sell it.
- Cost: producing or shipping at the last minute, through extra shifts or air freight, erodes margin.
- Service: a stockout at the shelf is a lost sale you don't get back, because the customer buys the next brand over instead.
These three metrics move together, not independently, and making the trade-off well requires manufacturing, logistics, distribution, finance, marketing, and demand planning looking at the same numbers at the same time.
Danone's planning cycle: from two weeks to one afternoon
Pigment's supply chain work started with a French retail customer in late 2021 and has since expanded across France, the US, the UK, and Germany, including decision-intelligence work for a large US group.
Bédu's example from the session was Danone's specialized nutrition business unit in Europe. The team wanted to model a three-to-five-year investment case, down to country-level portfolio detail, to justify a $50 million production line request to the CFO with every function aligned behind the number. Before Pigment, building that quarterly business plan took the team roughly eight hours a day on Excel for two weeks. In Pigment, the same output is built in one afternoon, with the added benefit that every function involved is working from the same model, not a static export.
A live example: a supplier price shock and the scenario that saved $9.3 million
Adrien Lambert, a Pigment solution consultant, demonstrated the workflow using a fictional electric motor manufacturer. The scenario: a critical supplier, Nord Seal, announces an 80% price increase, and the CFO wants two things, the margin impact and a plan B.
The workflow, step by step:
- Lambert asked Pigment's built-in assistant where to simulate the price change, rather than searching for the right module manually.
- He duplicated the base scenario in three clicks, carrying over existing assumptions, versus the manual copy-paste version management that Excel requires.
- The 80% increase recalculated in real time to a projected $11 million hit to gross margin.
- A colleague had already identified an alternative supplier, Baltec. Lambert uploaded Baltec's quote, covering unit price, replenishment time, maximum capacity, and a $150,000 qualification cost, and asked the Modeler Agent to set up the new supplier directly in the model.
- Blending production between the existing supplier and Baltec brought the projected margin gap down to $1.7 million against the base plan, instead of $11 million.
- A purpose-built negotiation view let the team test the break-even point: below roughly a 5% price increase, the $150,000 investment to onboard Baltec likely isn't worth it, giving the CFO a specific number to negotiate against rather than a guess.
- The findings exported directly into a board-ready report, with the option to print a PDF for board members who prefer a physical copy.
What's coming next for supply chain planning
Pigment is building two things specifically for this audience. The first is a set of pre-configured accelerator apps, starting with demand planning and followed by supply planning, that combine a built foundation with the Modeler Agent so teams aren't starting from a blank model or locked into a rigid, buy-as-is application. The second is solver-based optimization, arriving through partnerships within roughly six months of Catalyst Berlin, aimed squarely at the manufacturing, automotive, and electronics-heavy economies across the DACH region.
The underlying argument echoed what customers said elsewhere at the event: the value compounds once planning sits in one model that every function can see and act on. As Bédu put it, the real cost of a misaligned plan isn't the meeting where it gets challenged, it's the week of manual recalculation that should have taken minutes.
Request a demo to see how your own supplier or demand scenarios would play out.
