Discover actionable insights in your business data
Data scientists spend 80%
of their time capturing, cleaning and
Prisma uses Machine Learning to automatically:
Find matching products (to compare prices, assortment and
detect market trends).
Enrich product attributes and discover substitutes and
Detect outliers to remove noise from the data.
So Retail executives can focus on decision-making based on
suggestions generated by
Prisma instead of spending lots of resources capturing, cleaning and enriching
Automatically identify patterns in your stores’ behavior in order to achieve a
unified and optimized management.
Check if your current classification is the right one and which stores require your
action to correct their profile.
Analyze ticket information in order to identify which products are being purchased
Use this information to optimize your assortment, shelf disposition,
layouts and promotions.
Customize your stores’ assortment by using Artificial Intelligence, generating
suggestions for adding or removing products from each store.
Identify similar stores
by product category in order to recommend adding high performing products and
removing those not likely to succeed.
Prisma uses AI to suggest attributes and category while adding or modifying product
Speed up the article management process and increase the precision and
richness of your information.
Automatically check potential errors in your data or market data using our anomaly
Avoid taking wrong decisions based on innacurate data.
Match your products with those of your competitors.
Compare your product assortment,
prices and promotions at the maximum level of detail in order to make the best