AI-powered inventory planning and forecasting to harmonize supply and demand

Effective inventory management and AI-powered forecasting based on advanced Machine Learning algorithms to provide better visibility, avoid costly disruptions, and drive better decision-making.

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Challenge:
Demand forecast inaccuracy causing overstocking or stock-outs

The main challenge of traditional inventory planning is a significant dependency on historical data and past seasonal patterns instead of actual and potential demand status. Forecast inaccuracies based on the traditional model often put the inventory at the risk of obsolescence. They also increase inventory costs due to overstocking or lead to missed sales opportunities due to stock-outs. These gaps in planning prevent manufacturers from getting the maximum from their inventory and being responsive to all sales inquiries and service disruptions.

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Solution:
AI-driven planning and forecasting platform (Forecast-as-a-Service)

Our advanced Forecasting Algorithms and Machine Learning Platform constantly monitors the requirements, and predicts the demand of products and spare parts more accurately, while reducing forecasting errors by 30-40% that results in inventory optimization by 20-30%.

PRODIGY platform continuously monitors operational and consumption data and gives an accurate prediction on the optimal stock levels while improving the performance of inventory investments. Manufacturers can exceed their sales and service goals while responding quickly to demand and supply uncertainties and providing reliable customer service with optimized inventory across the region.

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ROI Calculator

Calculate your estimated ROI with our Forecast-as-a-Service Solution

Business Data

Inventory value (Yearly) Select your yearly inventory value

100000

$50,000 $2,000,000

Inventory write-off (Yearly) Select your current yearly inventory write-off

10%

0% 100%

Sales loss due to stockouts Select your sales loss value due to inventory shortage

30%

0% 100%

Savings Metrics

Inventory reductions Average optimization metrics based on our experience with existing clients

30%

0% 100%

Inventory holding savings Average optimization metrics based on our experience with existing clients

18%

0% 100%

Inventory write-off savings Average optimization metrics based on our experience with existing clients

70%

0% 100%

Results

Reduction in local inventory holding due to accurate inventory forecasts

Reduction in working capital finance cost, IOR fee, Stock inbound/ outbound, storage fee, and insurance costs

Reduction in local inventory holding

Estimated yearly savings

Potential yearly sales improvement

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    Benefits

    • Optimized inventory & reduced working capital
    • 20-30% forecasting improvements
    • Real-time recommendations
    • 70-80% less Inventory write-off
    • Reduction in inventory holding costs
    • Sales enhancement