Inventory Management Software

Inventory Control Software & Stock Planning

e-Stock is a powerful inventory management software solution which includes inventory optimization, automatic replenishment planning, vendor managed inventory control & collaborative planning capabilities:

  • inventory reduction - stock planning
  • auto replenishment algorithms - purchasing planning
  • collaborative planning - VMI - forecasting & replenishment
  • stock control software - real-time inventory system

Our stock planning software provides optimization, visibility and control along the supply chain, and can be integrated with inventory management systems to process real-time demand data and generate replenishment/manufacturing orders dynamically.

Inventory Optimization Software

Inventory Optimization

Managing inventory levels along the supply chain is key to maintaining high service levels while minimising costs. e-Stock includes a range of stock control software tools for inventory planning and balancing which enable organisations to increase service levels and reduce safety stocks. Our inventory management software is ideally suited to businesses characterised by factors such as very large SKU range, short-shelf life products, complex manufacturing/distribution process and short lead time orders.

e-Stock balances stock levels against order profiles and forecasts, taking into account factors such as production capacities and supplier service levels. Forecasting and replenishment activity is optimized in terms of resource availability, manufacturing planning and distribution capacity. MJC²'s dynamic inventory scheduling program can react automatically to real-time events, continuously replanning activity along the supply chain to maximise service while minimising cost.

Automatic Replenishment System

e-Stock monitors inventory levels and, using an automatic replenishment algorithm, determines ideal replenishment sequences and orders. Factors such as minimum/maximum order quantities, lead times, vendor stock availability, transport costs, bulk purchase discounts, distribution/transport constraints and warehouse/storage capacity are modelled to ensure that forecasting and replenishment activity follows business requirements and constraints.

The automatic replenishment planning takes current stock levels and forecast demand as input and generates replenishment orders to optimize inventory levels and purchasing agreements. Assortment planning and optimization functionality enables inventory profiles to be dynamically adjusted based on actual sales history.

Vendor Managed Inventory & Collaborative Planning

Our inventory management system is internet-enabled, allowing businesses to optimize their operation in collaboration with their partners, providing visibility and control along the demand chain.

Thus for example, by monitoring customer stocks (e.g. by integrating with their stock management systems), replenishment orders can be planned according to production/distribution capacities, improving resource utilisation and increasing service level.

e-Stock provides visibility over the whole supply chain, automatically optimizing vendor managed inventory levels based on demand, capacity and availability. Suppliers can be notified automatically of requirements, and customers can have instant access to lead-times or delivery dates. e-Stock interfaces naturally with corporate orders databases or enterprise resource planning systems, and includes a wide range of inventory analysis, inventory tracking, collaborative planning and replenishment management functionality.

Inventory Management Software

e-Stock is designed for large, complex supply chain organisations which manage thousands of products and thousands of customers in a dynamic environment. Our inventory control software enables businesses to make the most of their investment in enterprise resource planning systems by creating very large savings in terms of efficiency, inventory reduction and increased service levels. Our inventory & replenishment system is flexible enough to model complex operational rules and constraints and can be integrated with other corporate stock management systems and processes in a straightforward manner.

 

 

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