Replenishment

Intelligent Forecasts – Store Item Replenishment Orders
Consolidated Ordering for Departments – Forecast Order Review

Get optimized sales forecasts using RE 2.0 Non Linear Algorithms and dynamic Elasticity Demand Models. RE 2.0 automates retail store requirements for a large number of small orders to be calculated on a daily basis, taking into account the impact of price changes, promotions, advertising and promotional displays at an item by location level. Replenishing warehouses can be complex; lead times, volume discounts, economic order quantities and other factors need to be considered to calculate the optimum order, avoiding stock-outs and overbuying.

Intelligent forecasts

RE 2.0 Pricing, Promotional and Marketing modules record all regular and ad hoc events/activities, including details of all items, base prices and offers set up within each activity. This information provides a solid base for accurate sales forecast to be produced as far into the future as the merchandising plan allows.

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Store Item Replenishment Orders

RE 2.0 replenishment combines intelligent forecasts with end of day stock levels, service level requirements and lead-time / review time /min–max order quantities. Using Safety Stock, Service Level, Forecast Error and Lead Time information enables the best time to place an order and the optimal item/store order quantity to be calculated.

Consolidated Ordering for Departments

The specific "order fulfillment process" of retailers is determined by many factors. Suppliers that require Make-to-Order or Build-to-Forecast can change a retailer’s processing operations to accommodate variations in cases, totes, costs etc or because of order picking, shipping or transportation requirements. This list is only a small sample of factors that influence operational procedures. RE 2.0 can be configured to meet your organisation’s unique processing requirements.

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Forecast order Review

Always have enough, never have too much, never let rule 2 break rule 1.
Utilizing these simple controls, coupled with a best-in-class forecasting algorithms, the replenishment process can be streamlined and automated to a level not seen before. Accurate forecasting means lower inventory levels and less capital tied whilst at the same time variations in product demand rarely causes a product to go out of stock.

Intelligent Forecasts - Store Item Replenishment Orders
Consolidated Ordering for Departments - Forecast Order Review

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Replenishment

Intelligent Forecasts – Store Item Replenishment Orders Consolidated Ordering for Departments – Forecast Order Review