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Optimize inventory with forecasting analytics

Retailers continuously strive to balance demand-supply constraints and operate profitably. Today automation and insights are key levers in the process of keeping the right amount of goods in stock and planning for future customer demand.

Organizations can unleash the tremendous potential of data and analytics in minimizing risk of stock left overs and maximize inventory returns. Our models help retailers comprehensively plan their inventory based on predicted demand of customers.

Our Approach

We leverage advanced analytical techniques like time-series forecasting, classification & regression modelling to help retailers forecast the right inventory levels. These techniques help in detection of attributes responsible for overall inventory optimization. Our approach includes forecasting supply based on the customer demand, analysis of product & SKUs data to prevent stock-outs or stock- leftovers.
Techniques used

Supply-Demand Forecasting

Inventory Management Modelling

Supply-Chain Optimization Modelling

Benefits

Improved supply-chain efficiency

Increase in inventory turnover, improved stock availability and shorter lead times, resulting in better efficiency and productivity throughout the supply-chain.

Right products mix

Identification of fastest and slowest moving products and SKUs, lesser inventory holding costs and enabling supply of the right products in the market.

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