Achieve Optimal Inventory and Service Levels
Advanced Replenishment helps retailers profitably manage their greatest asset: inventory. JDA Advanced Replenishment / JDA E3 is a proven, industry-leading retail advanced replenishment, forecasting and inventory management solution that projects sales and places automatic orders based on store/item selling histories. In today’s volatile business climate, merchandising decisions must deliver high service levels, while minimizing inventory investments. Using multiple years of selling history, JDA Advanced Replenishment / E3 integrates demand and lead-time forecasting with order-policy and service-level analysis to provide accurate individual item demand forecasts and recommended orders.
Why RPE and JDA
RPE consultants are industry leaders in inventory optimization having designed, developed and implemented solutions for multiple retailers. A solutions that utilizes traditional min/max and one-for-one replenishment logic, JDA Advanced Replenishment / JDA E3 conducts scientific and statistical evaluations of each buying decision variable. For each item, the solution weighs every factor for each store — including demand, seasonality, order frequency, lead times, vendor minimums and discounts, and service levels — and recommends the best action based on the most profitable result.
JDA Advanced Replenishment Application
Advanced Store Replenishment (ASR), Network Optimization (OPT), Advanced Warehouse Replenishment (AWR), Marketplace Replenish GUI (MR GUI) and Electronic Dynamic Agreement (eDA) are offered by JDA Software to address the basic and advanced functions within the context of demand forecasting, replenishment and Collaborative Planning Forecasting and Replenishment (CPFR).
The application suite supports the seven steps of buying:
- Demand Forecasting
- Leadtime Forecasting
- Order Policy Analysis
- Service Level Analysis
- Special Order Analysis
- Order Validity
Other functions include:
- Support Store-level Detail
- Support Warehouse-level Detail
- Forecast Synchronization
- Store Coverage Adjustments
- VICS CPFR Award Winner/li>
- Order Forecasts
Forecast future sales or shipments using historic sales or shipment values. Seasonal profiles and promotional tools enable buyers to adjust forecasts for future activity.
Predict time from order create to available product using historic leadtimes for items and vendors to find patterns and trends.
Order Policy Analysis
Balance acquisition costs against carrying costs to calculate the most profitable order cycle.
Service Level Analysis
Preserve instocks while minimizing inventory investment. Safety stock requirements are uniquely calculated by item/location.
Generate suggested order quantities for every item/location every night. Due order logic suggests placing purchase orders only for those sources where additional product is required to preserve service levels.
Special Order Analysis
Adds quantities to replenishment orders when Deals, Promotions or New Stores impact need. Overstock transfer allows JDA Advance Replenishment / E3 to support item needs without bringing additional inventory into the demand chain.
Assures that orders placed meet all rules for minimums, maximums and multiples such as truckload, casepack, layer and pallet.
Support Store-level Detail
Additional mass maintenance functions, New Store Rollout, Allocation, Start Date and Stop Date logic along with Presentation Minimum logic are available in ASR.
Support Warehouse-level Detail
Deals, Alternate Source, Bookings and Collaboration solutions are available with AWR.
Warehouse values for the demand forecast, seasonal profile, demand history, Plans, Events, and Bookings are created based on store values and adjustments.
Store Coverage Adjustments
Warehouse purchase order quantities and inventory levels are adjusted based on the inventory in stores.
VICS CPFR Award Winner
Increase service, reduce inventory and improve buyer productivity by partnering with key trusted suppliers.
Create order forecasts using the same logic as actual purchase orders. Up to one year of order forecasts can be collaborated on by trading partners and these order forecasts become purchase orders at appropriate timing.