Our proprietary AI for ecommerce. It is the AI backbone of our CRO solutions, enhancing product recommendations and search personalization. Using millions of data points, it predicts buying behavior at scale.
Now available on demand. See advanced personalization at work on real online stores.
A standard product page contains valuable information such as title, image, and description. These attributes are converted into series of numbers allowing us to transform products into vectors. Vectors are essentially a set of numerical data that can be placed on a map and be analyzed in relation to each other.
Learning from the millions of products in our system, we use the great advantage of vectors and AI technology to find dependencies, connections, and patterns of behavior that businesses can use for optimization and personalization strategies.
Here's a use case:
For instance, a shop needs to show product recommendations for a pair of sneakers but doesn't have enough information to tell what products users tend to buy with these sneakers.
Product Intelligence draws on network product relations to recognize similar sneakers and the products that go well together with them. Those aggregated patterns are applied to create the best-fitting product recommendation from the items in the shop's own inventory.
If you are a builder, you can easily integrate the Product Intelligence data into your webshop, PIM solution, ESP or CDP, which can unlock new opportunities. We have created a single GraphQL endpoint that makes it easy to consume.
More and more browsers block cookies, and privacy is a core challenge for personalization.
With Product Intelligence, we track products, not people.
Based on millions of products and sales, we know what any unique product is like, what it is similar to, and what other products complement it.
Here is how a raw product feed becomes personalization your shoppers actually see.
Titles, images, and descriptions are used to convert products into vectors, and the catalog is enriched with attributes. Your product data gets richer than the feed you started with.
Network product relations across 250+ million products teach the system what each product is like, what it is similar to, and what complements it. Because this knowledge lives on the product, cookies and visitor history are not essential.
The same product understanding powers Search, Recommendations, and Product Agents, and a single GraphQL endpoint carries it into your PIM, CDP, or ESP.
Most analytics platforms track users. Product Intelligence tracks products. That distinction changes everything about how personalization works.
User analytics tools track what people do. Product Intelligence understands what products are - their attributes, relationships, and behavioral patterns across millions of transactions. Cookies are not essential.
With Product Intelligence, you start with insights aggregated from millions of products. The cold-start problem disappears because the network already knows what works.
General analytics platforms serve every industry. Product Intelligence is purpose-built for ecommerce - understanding product vectors, purchase patterns, and catalog relationships that generic tools miss.
Product vectors power recommendations that understand why a customer might want hiking poles after buying trail shoes - not just that other customers bought them together.
Search results ranked by product understanding, not just keyword matching. The system knows which products are relevant even when the search terms don't match the product title.
Identify which products customers repurchase and when, so you can trigger timely reminders through Product Agents or email campaigns.
Pull product intelligence into your PIM, CDP, or ESP through a single GraphQL endpoint. Build recommendation logic, product feeds, or audience segments powered by product data.
With Product Intelligence, Hello Retail solutions gain new strengths and advantages compared to alternatives on the market.
AI agents that decide what emails to send, when, and to whom.
Personalized product recommendations powered by AI that predict what shoppers want next.
Smarter on-site search that understands shopper intent and surfaces the most relevant products.
Dynamic category and landing pages that personalize the shopping experience for every visitor.
Monetize your storefront with targeted ad placements powered by first-party product data.
With the power of data analysis, businesses gain insights into discount distribution across various product types. Retailers can greatly benefit from this approach, saving time on analysis and automating campaigns.
Recurring products, simply put, refer to items customers purchase more than once in a certain interval of time. Know when to tap your customers on the shoulder and present them with products they might re-purchase.
The opportunities presented by Product Intelligence enable us to learn about buying behavior throughout the day from a product perspective.
A product intelligence platform is software that understands an ecommerce catalog at the level of individual products (their attributes, relationships, and purchase patterns) and uses that understanding to power personalization, recommendations, and search. Because it tracks products rather than people, it works without cookies or browsing history. Hello Retail's Product Intelligence does this through product vectorization and network product relations learned across 250+ million products.
Product Intelligence is the proprietary AI engine behind Hello Retail, built for ecommerce. It powers all Hello Retail solutions (Search, Recommendations, Product Agents, Retail Media, and Pages) by understanding products at a deep level through vectorization and network product relations.
Product analytics tools measure how products perform, such as views, conversions, and revenue. A product intelligence platform goes further: it learns what products are and how they relate to each other, then acts on that understanding to personalize search, recommendations, and email. Hello Retail's Product Intelligence learns from millions of buying patterns across stores, and applies this aggregated knowledge to power personalization from day one.
Product Intelligence tracks products, not people. It learns from product attributes, relationships, and purchase patterns across 250+ million products. This means personalization works from the very first visit, without relying on cookies, account creation, or browsing history.
The cold-start problem occurs when a new store or new visitor has no data to personalize with. Product Intelligence solves this using network product relations: your store benefits from aggregated product patterns the network has already learned, from day one.
Yes. Product Intelligence provides a single GraphQL endpoint that lets you pull product data, relationships, and predictions into your PIM, CDP, ESP, or custom application. See the developer documentation for details.
Four questions are worth asking any vendor:
How deep does the catalog understanding go? Some platforms only read the feed you give them. Product Intelligence enriches the catalog with attributes derived from product images and descriptions, so the system knows more about your products than your feed does.
Where does day-one data come from? Ask what happens before your store has history. Network product relations across 250+ million products mean a new store starts with product relationships the network already knows, instead of a cold start.
Does the intelligence activate anything? Insight that sits in a dashboard still needs a team to act on it. Product Intelligence powers Search, Recommendations, Pages, and Product Agents directly.
Can you take the data with you? A platform that locks understanding inside its own tools limits what your team can build. A single GraphQL endpoint carries product data, relationships, and predictions into your PIM, CDP, or ESP.
Book a demo and we'll show you how Product Intelligence powers personalized search, recommendations, and email for your store.
