Where a brand opens can make the difference between success and failure. Storebook takes the guesswork out of the equation : it uses AI to analyze the fit between brands, landlords, and retail locations, accelerating the work of retail developers and the growth of brick-and-mortar chains.
— THE STORY
Born within Masema, designed for retail.
Storebook is a Masema project, born from the daily experience of finding the right space for brands looking to grow. Location requests are coming in from all over Italy in increasing volume, and manually searching for spaces is a limitation: only a few units can be evaluated for each request, resulting in lengthy lead times and inevitably overlooked opportunities.
Storebook overcomes this constraint. By setting a brand's parameters, artificial intelligence identifies suitable locations in the right places, expanding the search to over 1,000 spaces per brand. This faster process and greater responsiveness benefit brands and retail developers. The project was developed with the contribution of European public funds.
— HOW IT WORKS
From requirement to match, in three steps.
01
Define the requirements
The brand indicates category, target and location needs.
02
AI analyzes data
Location, demographics, market trends processed by algorithms
03
Get the matches
The most compatible premises and landlords, ready to be evaluated.
— WHAT AI ANALYZES
The data that makes the difference.
Geographical location
Professional relationships, the largest network in Italy
Demographic data
Population, income, consumer habits.
Market trends
Demand, competition, industry dynamics.
Compatibility
The interplay between brand, space, and context.
Project developed with the contribution of
Axis III Investment priority 3 Action 3.5.1 - ID and CUP XXXXX