AI Suggestions
Unbeknownst to users, the application memorizes the purchases we make, including the frequency and quantity of each product bought. It collaborates by calculating the average consumption of frequently purchased items.
It can even suggest to us, when entering a store, the products that we need and that we have forgotten to write down.
Organization of purchasing time
For larger shopping centers or supermarkets with clearly differentiated sections and/or departments, it’s possible to associate each product on the list with a specific section.
In this case, the products will be grouped by sections when we enter the store: the coffee will be with the infusions and the rolls in the bakery. But we can still take one more step to optimize the purchase to the maximum.
If, when entering the store, we first find the bakery, then the hygiene products, then the vegetables, etc., and we manually place the sections in that order, we will obtain a grouping of the purchase by sections and in a single path.
This ensures a single-pass, section-based journey, minimizing backtracking and maximizing efficiency.
Minimum purchase time and maximum performance.