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Efficiency starts in the warehouse. However, it definitely doesn’t stop there. Goods are sourced from warehouses to the stores and also from warehouses to people’s homes and companies have to optimize each step.

  • Optimize driving routes

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.

 

  • Manage your fleet

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

 

  • Ensure accurate delivery time estimates

Stores should be designed taking into 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.

 

  • Secure driver safety

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

  • Monitor fuel consumption

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

Use Cases for Logistics and Transportation