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Despite the success of online stores, they only account for 14% to 20% of total purchases. Physical stores still dominate and are an incredibly expensive investment.

  • Identify the best location for a new store

Location intelligence can decrease the risk of investing in a new store by analyzing relevant data like nearby competitor presence, population demographics, distance to existing current stores and rent prices.

 

  • Target customers with location-based campaigns

With smartphones, retailers are now able to map consumers offline and online. For example, when a customers enters or walks by your store, they can receive specific offers and discounts.

 

  • Design a store according to location intelligence

Stores should be designed taking in consideration the aisles with the most footballs, bottleneck areas that might endanger the purchasing process, time spent in store and conversion rate from entry to purchase.

 

  • Allocate staff in a smart way

Location data can help inventory teams to plan for store openings and closings, business shifts, special events, and allocate staff accordingly.

  • Optimize the supply chain and delivery time

Delivery time can be optimized by calculating the fastest route, avoiding traffic congestions, assigning the best driver and planning the best time for delivery.

Use Cases for Retail