A command center
The main numbers on one screen, a feed of what the system has flagged and a list of open issues, each with an "investigate and act" button. There's also a stripped-back version for executives.
Demo build on sample data
Plan, make, move and sell, on one screen for a dairy and food maker
A supply chain command center that follows the business from the forecast to the shelf, with one screen for each step.
This is a demo build. It runs on sample data. We keep the manufacturer's name private.
At a glance
Demo build, sample data
- Business
- Dairy and food manufacturer
- What we built
- A command center
- A planning simulator
- Modules from plan to shelf
The problem
Dairy has one of the hardest supply chains there is. Milk doesn't wait. Demand jumps with hot weather and holidays. Feed prices move with droughts and late ships. A large fleet of refrigerated trucks has to keep everything cold, and a shelf that's empty for one afternoon sends the shopper to a competitor.
Most of this is run in separate systems by separate teams. Planning, procurement, plants, fleet, sales and quality each have their own reports. By the time a problem shows up in the monthly review, the product has spoiled or the sale is gone.
What we built
A planning simulator
Drag sliders for temperature, weeks to a seasonal peak and promotion intensity. The demand, production, stockout risk and feed plan update as you move them.
Modules from plan to shelf
Demand, procurement, plants, cold chain, shelf availability, pricing, foodservice, brand, quality and sustainability, each opening with a plain recommendation.
What's in it
- Demand forecasting by product, region and day, adjusted for weather and holidays, with a six-week build plan.
- Procurement and feed risk: feed, grain, fuel and packaging prices, supplier delays and when to hedge or switch to a backup supplier.
- Plants: use against capacity, the bottleneck line flagged and a way to level the schedule.
- Cold chain: live exceptions for refrigerated trucks, such as temperature breaks, late runs and door-open alerts, with holds and re-routing.
- Shelf availability: which stores will run out, from sales, delivery history and merchandiser photos, and whether promotions are actually set up in store.
- Pricing and promotions: which deals lift sales and which just give away margin.
- Foodservice: order forecasts for hotels, restaurants and caterers.
- Quality and safety: early drift signals from daily lab tests, recall readiness and an exportable audit trail.
- Ask a question like "where will we run out of stock?" or "what should I do first today?"
What it would take to go live
How the business plans. How the planners forecast, where the data lives and which late decisions cost the most.
The real data. Sales, plant, fleet and quality data connected, keeping the modules that matter most.
A first version in about 10 days, usually one or two areas like shelf availability or the cold chain, then out from there.
The manufacturer owns its data and the system.
See also AI for retail, franchise and F&B and AI for industrial and manufacturing.
Keep reading
- AI for retail and F&BShelves, stock, fresh, promotions and store operations across locations.
- AI for manufacturingPlant knowledge, forecasts, capacity and maintenance on the systems you run.
- Demo: shelf monitoring and store operations for a grocery chainCamera shelf alerts, stockout prediction, fresh markdowns, loss prevention, queues and staffing.
- Executive dashboardEvery store on one screen, with operational reports by group.
Make or move food?
Book a call and we'll show you the demo, from the forecast to the shelf.