Commerce & Retail
Evaluate discovery, pricing, checkout, recommendations, customer support, and retention experiences.
Bring any of these decisions
- supermarkets
- retail chains
- e-commerce stores
- wholesalers
- distributors
- pharmacies
- restaurants
- delivery businesses
- agro-retailers
- social-commerce sellers
- product discovery01
- price changes02
- promotions03
- loyalty offers04
- online checkout05
- mobile-money payment06
- delivery versus collection07
- product recommendations08
- repeat-purchase campaigns09
- customer returns10
The winning price or promotion, the expected sales impact, the checkout problems, the segments that respond, and a recommended rollout.
- Recommendation
- the option to launch
- Expected impact
- conversion, revenue, retention
- Segments
- who it works for, who it costs you
- Friction
- where customers stop, and why
- Changes
- what to fix before launch
- Rollout
- how to validate it safely
How do you test a product before launch?
Bring the versions you are choosing between. Zambrite Flow runs each one past a simulated population modelled on your customer base and reports which version wins, the expected effect on completion and revenue, the customer groups it works for, and the changes to make before you launch.
How do you choose the best price for a product?
Compare candidate prices against the same customer population. The strongest price is often not the one with the highest conversion — Zambrite Flow reports estimated total revenue per price and flags the segments that leave at each level.
How do you predict customer behaviour?
Historical customer data is used to estimate who is likely to buy, what they may buy, when they may buy, and who may churn. Results are given as probabilities with confidence levels, never as guarantees.
How do you predict customer churn?
Declining activity, spending, visits, and engagement are used to flag customers at risk of leaving, with the likely reason behind each risk and the intervention most likely to work.
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