

Use purchase and browsing data to identify the relationships between your products and how customers interact with them. Ensure you’re only stocking products your customers really want.
Run affinity analytics to identify which products are frequently bought together, so are prime for offering bundles.
Understand demand transference to pinpoint the best substitutes when certain products are unavailable.
Understand the relationship between customers and products. Then optimise your range based on customer need states; maximise customer reach, and minimise sales cannibalisation.
Simulate commercial range scenarios or utilise machine learning to automatically recommend optimal ranges based on any commercial parameter.
Use predictive analytics to understand demand transference across every need state within every category, including how it shifts within a product group.
Personalise product ranges to ensure the most relevant items are offered to each customer or segment.
Use AI to optimise sort order at the click of a button, so you prioritise products that meet the needs of each customer. Model out the effect of introducing or delisting products.
Build attributes to describe products in the ways customers search for them, making them easier to find and boosting conversion.
"HyperFinity have been instrumental in helping us understand the role of pricing for cardfactory. Their use of data and AI has enabled us to make insight driven pricing decisions that take into account our business goals and the expectations of our customers. HyperFinity are a valuable and trusted partner to cardfactory. They stand out for their expertise in applying data science to make great pricing, marketing, and assortment decisions."
"HyperFinity really understand our business. They’re an extension of our data science team and they’ve helped us build solid foundations for decision intelligence. This has helped us grow loyalty and deliver better, more engaging experiences for our customers."