Inventory Optimisation
It has the flexibility to fit any supply chain network from single location wholesalers to international retailers with multiple distribution centres and stores.
Taking raw data directly from Microsoft Navision, the AGR Inventory Optimiser presents a graphical view of historic sales, inventory levels and shortages, and utilises a powerful expert system to select the most suitable forecasting method in each instance, taking into account historic sales, seasonal fluctuations, customer and sales force input along with inclusion of events to manage any applicable promotions and so forth.
The forecasting methods employed are:-
Exponential Smoothing – covers a wide range of data characteristics
Simple Methods – for short or volatile data
Curve Fitting – identifies the general form of the curve the data is following
Low Volume Models – for low volume and/or sparse data
Box-Jenkins – for stable data-sets.
The system also provides safety stock calculations taking into account variations in sales during prevailing lead times.
Purchasing recommendations are based on:-
Sales forecasts with safety stocks
Order frequency
Delivery Time
Inventory
Undelivered orders
Minimum order quantities
Manage by Exception - generates user-defined exception reports listing items needing special attention such as potential stockouts, late deliveries, high forecasting errors, slow movers etc.
Simulator – can answer various ‘what if’ questions to evaluate the impact of changed preconditions in the supply chain such as lead times, service levels, minimum order quantities and so forth.
Improved Inventory Management Whitepaper (Download pdf - 100k)