Retails Planning

Planning

Retail discounts and losses do not result from lack of demand. These result from fluctuation of demand. It often happens that stores have over stocking or under stocking of items. This is typically because
quantity to be dispatched to the store is people dependent and therefore not objective. We need to
give everyone visibility on what should be the dispatch quantity and it should be objectively arrived at by
software.

Replenishment Challenges

Replenishment Challenges

Articles wrongly dispatched to the stores

Planning

Handling the inter-seasonal and intra-seasonal dispatches to the store

Replenishment Challenges

Handling the fluctuations of lead times and sales quantities

Replenishment Challenges

Replenishment based on Historical Data

Retailers spend months in data mining and modelling old data and gathering trends which play out seasonally. Our replenishment platform helps the retailers make better decisions with insights that matter.

Planning

Model Accommodates Organization Goals and Changes

The current goals of the organization: Sales, promotions, new store openings, new DC are gathered. This is fed into a modelling tool to come up with a best estimate of inventory levels for the year.

Flexible and Automated Ginesys Replenishment Planning

  • Dispatch system which takes into account the article-category, store plan and the latest sale trends
  • Parameterized system that can handle the dispatches during the beginning and end of a season and seasonal changes
  • Flexible replenishment model. Flexible, such that any algorithm can be fitted
  • Dynamic stock routing

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