Behind the scenes of shopping. An experiment.

This was an experiment with my friend Badr. We noticed that when shopping for fruits and vegetables, the presentation lacks a fundamental cognitive need: feedback.
We set out to prototype a fix for this.


Food traceability is on the rise, with technologies like IoT and Blockchain bringing exciting possibilities. However, most solutions don't take into account the constraints of the context of use.

To solve this problem, we set ourselves the constraints of meeting business and users' needs.

1. Optimize data for quick comparison

When shopping, our mindset is fixated on comparing items. The design should help people with this preoccupation. To do so, we set the constraint to present the data:

  • With the same structure → people know where to find information
  • In a visual way → make the data impactful and easily digestible (like analogue time vs. digital time)

2. Help shop's owner with automation

The shop has to update all the data, which can be a burden. To increase system adoption, we should build one that's convenient for them.

By doing so, the update could entirely be automatic and seamless. Upon reception of the pack, scanning it would request the associated data in the database.

3. Provide context and a humane feeling

By giving info on the producer and how you can cook the item as done in its hometown, we want to bring into perspective the food trail within people's shopping experience.

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