AI coupons & rewards
Coupons and rewards that bring customers back — at the right moment
Bring customers back again and again with the right reward at the right moment — and turn low-traffic windows into sales.
The problem
Blanket discounts train customers to wait for a sale and still miss the ones who are drifting away. Quiet days stay quiet.
What we build
- An engine that decides who gets a reward, which one, and when
- Notifications and coupons delivered through the channels you already use
- Campaign timing aimed at your low-traffic days and hours
- Support for both online and offline sales
What it learns from
- Purchase frequency and recency
- Customer lifecycle stage
- Traffic patterns by day and hour
- Response to past offers
What you get
- Customers who return again and again
- A longer customer lifecycle
- Fewer low-traffic days and hours
Built for
The people who own the decision
- Founders and CEOs
- E-commerce and retail managers
- Marketing leads
- 01
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.
- 02
Milestone-based build
We develop the decision engine in milestones you can see and check. Depending on scope it runs from about a month to six months, or up to a year.
- 03
Go-live and maintenance
We deploy it, run it and maintain it after launch, so it keeps working as your business and your data change.
AI coupons & rewards: questions
Does it work for physical stores too?
Yes. Rewards can be aimed at online sales, offline sales, or both, depending on where you want to lift demand.
Will it just hand out more discounts?
No. The point is to reward the right customer at the right moment — not to discount everyone — so offers go where they change behaviour.
Other solutions
Recommendation engine
Recommend the right products to each shopper from their own behaviour and purchase patterns — on Shopify or any B2C storefront.
Inventory forecasting
Know what to stock, in which SKU and how much — from geography, multi-year sales history, buying trends and more.
Supply chain optimization
Find the bottlenecks across your whole supply chain, compare against industry standards, and get concrete recommendations.
Marketing analysis
Analyse and optimize performance marketing across every channel, so each dollar goes where it returns the most.
Have a decision your data should be making?
Start with a fit sprint. We check your data, confirm what it can support, and show you the architecture and milestones before anything is built.