Trendspotting with AI

Identifying Micro-Regions and Local Tastes

December 12, 2024

Sanjiv Goyal

Not every market shift makes headlines. Sometimes, sales volume hints at hyperlocal trends—a particular small town embracing a new craft distiller, or a coastal region’s subtle shift toward rosé in early spring. AI shines at detecting these micro-regional preferences, enabling suppliers to tailor their outreach on a granular scale.

Localizing the Product Assortment:
Instead of applying broad strategies, suppliers can send targeted recommendations that align with a neighborhood’s evolving tastes. This approach resonates deeply with accounts that value standing out as trendsetters in their communities.

Uncovering Hidden Pockets of Demand:
Over time, these hyperlocal insights guide distributors to areas ripe for expansion or product introductions. Discovering a new wave of interest in low-ABV cocktails in a cluster of urban bars, for instance, can inspire timely launches and marketing initiatives that get noticed.

Becoming a Market Navigator:
As suppliers accurately forecast and respond to these finer-grained preferences, accounts grow confident in their ability to meet emerging demand. In a landscape of complexity, the supplier becomes a navigational aid, steering accounts through subtle market currents toward sustained success.

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