Clienteling app for retail store staff on iPhone and iPad
An iOS app that gives store staff a customer's purchase history, preferences and AI-suggested products so they can give personal service on the shop floor.
Problem
01 — OverviewStore staff did not know returning customers' sizes, past purchases or preferences, so every visit started from scratch.
Put the right customer context and relevant product suggestions in staff hands in seconds, without exposing more personal data than needed.
Solution
02 — Build- 01
Staff look up a customer by phone number or loyalty QR code.
- 02
The app shows purchase history, sizes and notes, and suggests products based on past purchases and current stock in that store.
- 03
Staff can reserve items and send a follow-up message from the app.
- 04
Access is limited by role and store, and devices are managed through MDM.
Architecture
03 — SystemAI workflow
04 — SequenceLook up the customer
Review history, sizes and notes
Show suggestions that are in stock in this store
Reserve items or send a follow-up
Technology & role
05 — DeliveryUX for the shop floor, iOS development, recommendation service and POS integration.
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