Iterative purchases Experience
Super Market users tend 83% to purchase the same products on a fortnightly basis
The Opportunity - Enhance the purchase experience for repetitive perishable products (eggs, milk, bread...), first thought as shopping lists as every shoppping application does.
The solution - Artificial Intelligence algorithm that analyses the previous orders made on supermarkets.
Once the user adds to the basket a repetitive product, the algorithm displays the previously ordered products order with this one suggesting to add them to the basket.
This feature was adopted by 7.5% supermarket active users after 3 weeks of its deployment
The UX Approach -The solution was conceived and refined by UX Research and prototyping using these qualitative and quantitative methods:
| 1. Journey mapping | |
|---|---|
| User shadowing | Usability testing |
| 2. Scoping | |
|---|---|
| Quantitative - SQL Query for product category comparisson on users sample on their last 10 orders | Qualitative - Case of use test deployed on users to see their interaction for this feature |
| 3. Prototyping | |
|---|---|
| Wizard of Oz - Insitu simulation of the algorythm running on a fixed flow | Surveying - Future scenario tested on real users |
| 4. Deployment | |
|---|---|
| User flow, Decision Tree, Wireframing | |
The Deliverables - Quantitative Analysis, Usability test results
Check the live version
on iOS or
Android