Service
Data Science
Forecasting, optimisation and machine learning that survive contact with production.
The problem we solve
A model that works in a notebook is the start, not the finish. The real work is making it reliable on live data, explaining it to the people who depend on it, and keeping it accurate as conditions change.
We build data science for that second half: evaluated against a sensible baseline, deployed with monitoring, and designed so your team can understand and own it.
What’s included
Where we help
Forecasting
Statistical and machine-learning forecasts at the level decisions are made, with honest back-testing and uncertainty.
Optimisation
Inventory targets, allocation, scheduling and pricing — formulated so the constraints match how the business actually runs.
ML in production
Models that are versioned, monitored and retrained — with the pipelines and tests to keep them that way.
Applied AI
Using language models and agents where they genuinely help — and saying so when a simpler method will do.
How we work
From a hard decision to a system your team runs.
- STEP 1
Bring us the decision you can’t make well yet.
A forecast nobody trusts. Stock in the wrong places. A plan that lives in a spreadsheet. We start with a short diagnostic of your data and process.
- YOU
- The problem, and the people who own it
- WE
- Assess data, process and quick wins
- OUT
- A written plan and a scoped first release
- STEP 2
We build it with your team, in small releases.
Data foundation first, then models, then the screen planners use. Every increment is something you can run and judge — not a slide.
- YOU
- A planner and a data owner, a little time each week
- WE
- Pipelines, models and the planning tool
- OUT
- Working software at every step
- STEP 3
Your team runs it. We keep it sharp.
You own the plan and the decisions. We watch the models, retrain as demand shifts, and change the system as your business does.
- YOU
- Day-to-day planning
- WE
- Monitoring, retraining, improvements
- OUT
- A system that stays accurate
Start small
One decision, one data source.
A focused diagnostic and first release. See what’s possible with your own data before committing to more.
Start with a diagnostic →Go end to end
Demand through supply.
Data platform to planning tool, scoped as a programme and built and run with your team.
Talk about a bigger project →Other services
Also from Baramind
Data Engineering
Pipelines, platforms and data models your team can trust — from ERP and warehouse extracts to a clean, governed layer that analytics and AI can stand on.
Supply Chain Planning
End to end: demand, inventory, supply and S&OP. We design the process and build the tooling together, so the plan and the system that produces it actually match.