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Increff Launches Regional Utilization Module

Picture of Anuradha Kapur

Anuradha Kapur

Picture of December 16, 2020

December 16, 2020

The shopping season is ON, are you closer to your customer?

As fashion brands & retailers prepare their stock for one of the most awaited e-commerce season sales, Amazon’s Great Indian Festival and Flipkart’s Big Billion Day, Increff launches Regional Utilization (RU) module to reduce additional logistic costs and deliver a smooth online order delivery journey.

In warehouses focused on e-commerce fulfillment, inventory placement is complex for brands that have a high number of SKUs with low depth. It requires constant demand analysis and in-depth logistics planning to achieve a desirable return on investments.

Regional utilization, specifically designed for e-commerce, translates deep insights into concrete action points to determine the demand-wise distribution of stock across the country, bringing brands closer to customers.   

How can Regional Utilization help?

  1. Smart inventory allocation across multiple warehouses achieves higher regional utilization by order fulfillment from the local warehouse
  2. Saving Rs. 20-22 additional costs per Piece on logistics
  3. Faster deliveries result in better visibility and higher conversion on marketplaces
  4. Significantly lower rate of returns due to the faster delivery

One of India’s top ethnic wear brands recognized the need for controlling expenses and enhancing customer experience. They were experiencing lofty shipment costs and higher delivery timelines. By integrating Regional utilization, they saved ~12% on logistics, thus increasing overall margins and enhancing regional fulfillment by ~30%. Download the infographic here.

To experience an immediate impact on your bottom line, talk to our experts today to understand how Regional Utilization can help your brand allocate inventory smartly and save BIG this festive season!

Check it for yourself, sign up or FREE at https://www.increff.com/distributed-warehouse-inventory-optimization/