Artificial Intelligence
Discover actionable insights based on your business data leveraged by powerful AI algorithms and the latest innovations in Data Science.
Prisma enables retailers to focus on decision-making
Data scientists spend 80% of their time capturing, cleaning and enriching data.
We use Machine Learning to automatically:
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Enrich the article master with attributes and discover substitutes and complementary products.
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Find matching products in the competitor’s items (to compare prices, assortment, and detect market trends).
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Improve the article master and expand descriptions.
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Detect data outliers and errors.
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Improve business efficiency throughout the supply chain with automated business processes that incorporate demand forecasting.
Clustering
Automatically identify patterns in your stores’ behavior 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.
Basket Analysis
Analyze ticket information to identify which products are being purchased together.
Use this information to optimize your assortment, shelf disposition, layouts, and promotions.
Assortment suggestions
Customize your stores’ assortment using Artificial Intelligence, generating suggestions for adding or removing products from each store.
Identify similar stores by product category to recommend adding high-performing products and removing those not likely to succeed.
Article Information Autocomplete
Prisma uses AI to suggest attributes and categories while adding or modifying product information.
Speed up the article management process and increase the precision and richness of your information.
Image Matching
We use text and image to feed matching algorithms and achieve product category autocompletion.
Anomaly Detection
Automatically check potential errors in your data or market data using our anomaly detection algorithms.
Avoid making wrong decisions based on inaccurate data.
Product Matching
It is complex to find the price of a product in a competitor's store automatically, since it may be listed under a different name. That's why we extend the masters with matching algorithms to capture and analyze competitor prices and avoid errors.
Compare your product assortment, prices, and promotions at the maximum level of detail to make the best decisions.
Smart Shelves
Apply image processing to detect product shelf availability and positioning in retail stores.
Quickly know on-shelf availability, promotions, and competitor information.
Demand Forecasting
Use demand forecasting methods to optimize product availability, reduce out-of-stocks, and gain a more detailed understanding of customer consumption patterns.
Take into account all relevant data to reduce forecasting errors and manage all items on a single platform.
Our AI-based models and analytics platform uses customer demand and causal factors to capture the scope of the supply chain and predict future demand.
News, Insights & Resources
Blog post
How Data Science and AI are transforming Supermarkets
In the following Blog post we will discuss how Data Science and Artificial Intelligence are transforming the consumer shopping experience and supermarket operations.
Blog post
Top 5 AI algorithms applied in retail
In the following Blog post we will analyze what Data Science is and what are the Top 5 algorithms applied in retail today.
Blog post
How to extract the most value from your retail data
Nowadays, companies have a countless amount of data to process, both internal and external. The secret lies in analyzing the data correctly and making the right business decisions.
Whitepaper
Artificial Intelligence powers convenience stores
Although pandemic restrictions significantly affected commuting in 2020, causing an estimated 10% to 15% decline in fuel demand, convenience stores continue to offer comfort and security.