Use Case · Manufacturing
AI that solves real production planning problems
We built MPSBoard for manufacturers, and we apply the same approach to your business: start with the problem, prove the value, then scale.
Our product
MPSBoard
Master planning for manufacturers
MPSBoard puts production, demand and capacity planning on one shared board. When a build plan moves, its target moves with it, so every team works from the same plan.
MPSBoard started with planners doing critical work in spreadsheets, on whiteboards and from memory. We built the system of record first, because AI is only as good as the data and workflow underneath it. Then we looked for the places where AI earns its keep.
The scenarios below are illustrative. They describe the kinds of teams MPSBoard serves and the problems we see most often.
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Use Case 01
From a fragile spreadsheet to one plan everyone trusts
Production planner · Custom metal fabricator, 80 employees
The situation
The plan lives in a spreadsheet that one person maintains. When a customer changes a due date, the planner rebuilds the week by hand, sales finds out late, and the shop floor works from yesterday’s priorities. Nobody can answer “when will this job ship?” without walking the floor.
What changes with MPSBoard
- Production, demand and capacity sit on one shared board
- Moving a build plan moves its target automatically, so nothing falls out of sync
- Sales, planning and the floor see the same priorities at the same time
Where AI fits
- RoadmapFlag capacity conflicts before they become late orders
- RoadmapSuggest a revised sequence when a rush order lands
- RoadmapAnswer plain-language questions such as “what happens if we add a Saturday shift?”
The outcome
The planner stops rebuilding the plan and starts managing it. Delivery dates become promises the shop can keep, and the owner gets answers without chasing people.
Use Case 02
Seasonal demand without the scramble
Operations director · Food co-packer, multiple production lines
The situation
Several brand customers, each with its own forecast, all peaking in the same season. Line capacity is tight, changeovers are expensive, and the forecast changes every week. Planning meetings turn into arguments about whose numbers are right.
What changes with MPSBoard
- Demand from every customer lands on one board next to real line capacity
- Plan changes carry through to targets, so the whole team sees the impact at once
- One shared plan replaces competing versions in inboxes
Where AI fits
- RoadmapLearn seasonal patterns from order history and propose a demand baseline
- RoadmapRecommend changeover sequences that protect capacity
- RoadmapWrite a weekly plan summary for leadership in plain language
The outcome
Planning meetings move from debating numbers to making decisions. Peak season is planned weeks ahead instead of reacted to.
Our approach
How we apply AI, in our products and yours
System of record first
AI is only as good as the data under it. We fix the workflow and the data before we automate anything.
Start with one problem
We pick the use case with the clearest value and prove it before expanding.
Responsible by design
Privacy, security and accountability are built in from day one, aligned with Canadian requirements such as PIPEDA.
Built for your team to own
Tools your people can run and improve without us in the room.
Personas and scenarios on this page are illustrative composites, not specific customers. Features marked “Roadmap” describe planned direction and are not yet available.
Have a problem like these?
Tell us where your team loses the most time. We’ll show you where AI can help, and where it can’t.