Put customer demand and purchasing preferences at the heart of your retail store clustering.

Traditional retail assortment optimization tools often use inaccurate or outdated third-party demographic data to build store clusters. Shouldn’t there be a better way? With SymphonyAI, there is!

50%

Reduction in store clusters needed to optimize sales

25%

Improved workflow efficiency

Category sales growth

Intelligent retail store clustering optimizes sales and enable more efficient supply chains.

How do you develop the optimal retail assortments to meet customer demand while still managing an efficient supply chain? It starts with intelligent clustering.

Not too hot. Not too cold. Just right.

Online retailers can tailor their assortments to individual customer demand – optimizing retail assortment and price for each individual shopper and using massive distribution centers to fulfill orders. It’s impossible for brick and mortar retail to take the same approach.

Competing in an omnichannel world means making decisions that might have been unheard of years ago. With Artificial Intelligence, retailers can find the sweet spot — having the right mix of core items in every store, unique store-specific SKUs, and an optimal blend of other items for each demand-driven retail store cluster.

Automation, accuracy, efficiency

Many retailers base their existing store clusters on information like store size, distribution networks, or some other form of historical approach – justifying that it’s better to not change than to change and do harm. With our Intelligent Clustering workflows, retailers can efficiently identify the optimal clusters at scale – across categories, banners, and geographies – allowing them to drive greater category lift and reduce the costly burden of managing more clusters than necessary.

Optimize for cluster demographics

Basing retail store clustering solely on store demographics can lead to assumptions about what customers might want to buy – hardly a precise approach.

But store demographics can provide useful context about what might be driving consumer demand or where the best opportunity might lie to select the optimal retail assortment. With integrated store demographics, retailers can instantly identify the customer and cluster characteristics to inform the next best action.

Connected to the supply chain

Theoretical exercises are nice, but pragmatic applications of AI-powered insights are better. With the native geographic visualizations, retailers can see how the changes to store clusters may impact the supply chain based on distribution routes or other considerations. This pragmatic approach ensures the sales lift from better meeting customer demand will not be eclipsed by lower margin from supply chain inefficiencies.

We’ve been able to automate and optimize our processes in everything from assortment and shelf replenishment to preparing orders for our customers

Andrija Derezic CIO