Introduction
DeciGrid is short for Decision Grid. We build AI data analytics and decision engines as custom solutions — one company, one engine, built on that company's own data.
It is not a platform and not off-the-shelf software. Planning, architecture, integration, development, deployment and maintenance are all done by us, on the data sources you already have.
Why it exists
Most growing retailers and manufacturers already collect more data than they use. Sales history, inventory, customer behavior and marketing results sit in separate systems, while the decisions that matter — what to stock, what to recommend, who to bring back, where to spend — are still made by hand.
DeciGrid closes that gap. We do not sell a platform for your team to configure. We take a decision you need to make, check that your data can support it, and build the engine that makes it — then deploy and maintain it inside your business.
What we build
- Recommendation engine — the right products for each shopper, on Shopify or any B2C storefront.
- Inventory forecasting — what to stock, in which SKU and how much.
- AI coupons and rewards — the right reward at the right moment.
- Supply chain optimization — the bottlenecks across your whole chain.
- Marketing analysis — each dollar where it returns the most.
And many others: every engine is built around the decision one company needs to make.
How an engagement runs
- Fit sprint. We check your data sources and integrations against the problem, confirm what the data can support, and pick the right solution, architecture and platform — before anything is built.
- Milestone-based build. We develop the decision engine in milestones you can see and check.
- Go-live and maintenance. We deploy it, run it and maintain it after launch.
More detail: How we work.
What we believe
- Your data, your engine. A decision engine should fit the business it serves, so we build each one around the data sources a company already has.
- Prove it before building it. Every engagement starts with a fit sprint, so nobody commits to a build the data cannot support.
- We stay for the long run. Planning to maintenance is ours. An engine that drifts after launch is not a finished job.
Where to go next
- Who we help — the companies and people we work with.
- Questions and answers — what people ask first.
- Book a fit sprint.