Customer Story

ECommerce Home Goods Retailer

ECommerce Home Goods Retailer: Cutting Planning Time from 100 Hours to 15

It was taking this Internet retailer roughly 100 hours to create a forecast and replenishment orders. Thanks to us, this is no longer the case.

eCommerce home goods warehouse

Results at a Glance

Slashed planning time from 100 hours per week to 15, freeing up planning team to add value to other parts of the business.

Forecasting Errors

Reduced forecasting errors by 50%

Inventory Health

Reduced ‘unhealthy’ distressed or aged inventory by 50%

Inventory Turns

Increased inventory turns by 25%

The Challenge

Project & Objectives

The senior inventory planning manager for the retailer explains, “Before ToolsGroup, my team invested a colossal effort for a small payoff. Now the situation is reversed. The chief reason ToolsGroup frees up our time is that we now trust the output. This means we can spend more time looking at the genuine exception SKUs rather having to question everything.”

The ToolsGroup solution has adapted well to the retailer’s service objectives. “We can now offer different service levels for different items rather than having one universal policy. The ToolsGroup solution also recognizes that a bulk order of 12 units is different from a single order from 12 different customers. It uses this order-line level detail to dramatically improve forecast accuracy.”

ToolsGroup also helps the retailer identify the best items for a popular two-day delivery program. Before this had been an arduous, manual process that its old system couldn’t adequately support. The company plans to aggressively grow this popular program, which improves loyalty and satisfaction levels.

Before ToolsGroup, my team invested a colossal effort for a small payoff. Now the situation is reversed. The chief reason ToolsGroup frees up our time is that we now trust the output. This means we can spend more time looking at the genuine exception SKUs rather having to question everything.
The Results

Benefits

  • Improved ability to handle high volumes, long-tail SKUs and extreme demand volatility
  • Forecasting errors reduced by 50%
  • 'Unhealthy' distressed or aged inventory reduced by 50%
  • Inventory turns increased by 25%
  • Dramatically cut forecast error
  • Slashed planning time from 100 hours per week to 15, freeing up planning team to add value to other parts of the business

Tags

  • Consumer Goods
  • Retail
  • demand forecasting
  • multi echelon inventory optimization

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