Different catalogues.
The same questions.
Electronics, marketplaces, D2C and the specialty formats each run a different model, and all of them need to know which customers are worth keeping. aiRA reads the warehouse you already have, answers in plain language with the reasoning shown, and hands back the segment or the journey already built.
The shape of it
The model decides what a good customer is.
Four things these formats have in common that make a generic analytics answer the wrong answer.
Frequency
No single pattern, which is the point. Electronics buy on long replacement cycles, a marketplace sees the same customer weekly, and a subscription sees them without a decision being made at all.
Margin
Set by the model more than the product. A marketplace take rate, a hardware margin and a rental contract are three different businesses with three different ideas of a good customer.
Seasonality
Launches and sale events set the peaks. The peak follows a product or a sale event, and it can move by weeks from one year to the next.
What the data misses
Usually the join. Multi-brand groups, marketplaces and D2C lines tend to hold the same customer in more than one place, so the first honest answer needs two systems reconciled before it exists.
The questions
Asked across the rest of retail.
Five real shapes of ask from retailers outside the big categories. Each comes back answered, with the reasoning shown and the move built, waiting on approval.
Which of last month's campaigns delivered incremental revenue rather than pulling it forward?
Ad hoc analytics
Model what a change to the reward threshold would do to redemption and to margin.
Advanced analytics
Which customers are approaching the end of a normal replacement cycle for what they bought?
Predictive models
Find the customers who bought the previous generation and have not upgraded.
Audience builder
Draft the upgrade offer for that group and show me the margin before it sends.
Journey orchestration
Proof
A consumer durables brand, against a target already tripled.
A one-month push delivered 38 crore against a 35 crore target that was already three times the previous year.
- 38 CrDelivered against a 35 crore target
- 3xThe target itself, against the prior year
- 50%Less campaign creation time
- ZeroConfiguration errors across the push
Electrical and consumer durables retailer, India.
The working session
Bring the question your team is still waiting on.
Forty-five minutes, one real question, your business context, down to what counts as an active customer. You leave with the answer and the move built, or you leave knowing aiRA is not the fit. Both are useful.