Retail

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Welcome to the retail graph demo
We start off with a customer, visiting our store
The customer start browsing and views a product
And another...
Just like our shopper here, many others have viewed products at our store
Our customer's unique browsing behavior is now starting to look similar to customers who have browsed our store in the past. This enables us to start recommending certain products, helping them find what they are likely to need or want next more easily
And make a recommendation
This recommendation was made using an anonymous customer at an anonymous store, only using inferences made from the purchasing history of other customers
With the power and flexibility of graph data management and intelligence, we can take this to the next level. So, we introduce Ben
Ben stays in Durbanville, and wants groceries delivered to his door
Using all the information available to us, our product recommendations can become much more powerful by introducing customer and store-level personalisation and product recommendations based on:
A customer's previous shopping habits or those of shoppers with similar purchasing behavior.
Using Ben's browsing and purchasing behavior will allow retailers to create store-level recommendations, including:
Reducing product waste by recommending and offering personalised deals for soon-to-be expired products
Introding new revenue streams by unlocking the ability to provide high-value upsells to customers with the intent to purchase
Enable retailers to work with brands and to get their products in front of customers with intent to purchase
Increase profitablity by recommending high-margin products
Graph data solutions provide retailers with the ability to ask complex questions and quickly uncover insights that would be difficult to identify using traditional methods. They enable organisations to unlock the ability to ask complex questions and receive insights immediately.