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DEMAND FORECASTING STUDIO

Upgrade from Spreadsheets with
ML-Powered Demand Forecasting

PI.EXCHANGE's Demand Forecasting Studio allows manufacturers, wholesale distributors and retailers to forecast demand using machine learning models, so you can take a proactive, data-driven approach to managing inventory.

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Demand Forecasting in the AI & Analytics Engine
THE PROBLEM

Overstocking is Costing SMB's

Unreliable forecasting leaves manufacturers overstocked, tying up working capital, and incurring excessive holding and storage costs.

80%

of SMB's suffer from
overstocking

44%

of SMB's total inventory
was excess stock

The Issues with Manual Forecasting

Unreliable Forecasts

Forecasting demand manually leads to unreliable and inconsistent results, often leading to overstocking

Hours Spent Forecasting

Forecasting demand manually is time consuming, taking hours each week and resulting in infrequent monthly forecasts

Lack of Granularity

Manual forecasting makes it difficult to generate granular forecasts across location, supplier, category and SKU

THE SOLUTION

PI.EXCHANGE's Demand Forecasting Studio

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Contact Us

ML-Powered Forecasts

ML powered forecasts

 

More Reliable and Consistent Forecasts

The Engine uses machine learning models trained on your historical and external data. Generate data-driven demand forecasts that are more reliable and consistent than spreadsheets or ERP software. 

Automatic Prediction Pipeline

Continuous Learning

 

Save Time Generating Forecasts

The Engine’s prediction pipeline allows you to automatically import new data and export forecast predictions. Save time by creating a reusable prediction pipeline, and have forecasts automatically generated.

 

Scheduled Predictions

Scheduled Predictions

 

Generate Frequent Forecasts

The Engine’s prediction schedule feature allows you to create forecasts more frequently than manual methods. Set up a weekly, fortnightly or monthly prediction schedule and ensure forecasts are consistently up-to-date.

Flexible Granularity Levels

card

 

Forecasts for Each Product and Location

The Engine’s flexible granularity levels allows you to generate bespoke forecasts across multiple dimensions, including location, supplier, category and SKU.
ML powered forecasts

 

More Reliable and Consistent Forecasts

The Engine uses machine learning models trained on your historical and external data. Generate data-driven demand forecasts that are more reliable and consistent than spreadsheets or ERP software. 
Continuous Learning

 

Save Time Generating Forecasts

The Engine’s prediction pipeline allows you to automatically import new data and export forecast predictions. Save time by creating a reusable prediction pipeline, and have forecasts automatically generated.

 

Scheduled Predictions

 

Generate Frequent Forecasts

The Engine’s prediction schedule feature allows you to create forecasts more frequently than manual methods. Set up a weekly, fortnightly or monthly prediction schedule and ensure forecasts are consistently up-to-date.
card

 

Forecasts for Each Product and Location

The Engine’s flexible granularity levels allows you to generate bespoke forecasts across multiple dimensions, including location, supplier, category and SKU.
ML powered forecasts
ML-POWERED FORECASTING

More Reliable and Consistent Forecasts

The Engine uses machine learning models trained on your historical and external data. Generate data-driven demand forecasts that are more reliable and consistent than spreadsheets or ERP software. 

AUTOMATIC PREDICTION PIPELINE

Save Time Generating Forecasts

The Engine’s prediction pipeline allows you to automatically import new data and export forecast predictions. Save time by creating a reusable prediction pipeline, and have forecasts automatically generated.
Continuous Learning
Scheduled Predictions
SCHEDULED PREDICTIONS

Generate Frequent Forecasts

The Engine’s prediction schedule feature allows you to create forecasts more frequently than manual methods. Set up a weekly, fortnightly or monthly prediction schedule and ensure forecasts are consistently up-to-date.
FLEXIBLE GRANULARITY LEVELS

Forecasts for Each Product and Location

The Engine’s flexible granularity levels allows you to generate bespoke forecasts across multiple dimensions, including location, supplier, category and SKU.
 
Flexible Forecast Granularity
THE PLAN

Get Started with ML-Powered Demand Forecasting in Three Easy Steps

Book a Demo
Contact Us

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Have a call with us to discuss your need and determine if the Engine is right for you

support_agentSolution Workshop


Together, we’ll help you to define your use case and determine the value it will deliver

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Our team will gauge your data and technical infrastructure to support your implementation

Consider the value of your team’s time. The power of the Engine isn’t just in its ability to create high-quality predictive models, it’s in its ability to get you up and running and evaluating results in minutes, not weeks.

Chris Hall

Founder, Winegrounds LLC

The AI & Analytics Engine is a powerful and easy-to-use data science and machine learning platform. The AI-guided automation and low code approach helps us quickly adapt to the Engine and apply it to our business cases.

Duc Anh Nguyen

Lead Developer, BESPIN GLOBAL

Usually, you think about machine learning as something that takes a long time to develop, but in reality, with tools like the Engine, everything becomes really easy, quick and efficient.

Massimo Bellino

Co-Founder, M&A Compass

PI.EXCHANGE's platform has helped me as a professional data scientist by allowing me to cut down on labour-intensive tasks via automation. I can get things done quicker via the UI and the API access that the platform provides.

Hajar Razip

Research Scientist, UTP-CeRDaS

PI.EXCHANGE’s ability to use machine learning to help identify and, thereby, reduce payment fraud is a game-changer. Adding to that, this SaaS-based technology is fast to deploy and also simplifies machine learning.

Ken Goh

Chief Partnership Officer, Huawei Cloud & AI, APAC

We trialed our historical data sets with each model to identify which offered the most accurate forecast. The platform demonstrated value in complementing my team's decision-making process.

Chartering Manager

Logistics & Supply Chain

The Engine was easy to use and performed well. I used a public dataset from Kaggle and the score was just below the best-optimized prediction even though I did not fully utilize all of the Engine's features. It is an impressive product.

Seok Lyu

Investment Team, SpringCamp

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