Use Case

Demand Forecasting


Use data on past activity to make decisions affecting your company’s future. Forecasting demand is the key to estimating sales, running promotions, planning inventory, scheduling logistics, and meeting customer expectations.

Efficiency Gains

Drive more efficient operational strategy

Top-Line Growth

Optimize product mix and reduce out-of-stock conditions

Risk Mitigation

Incorporate internal and external demand signals to optimize demand model accuracy

Business Problem

“How much should we order and when should we order it?” Retailers and suppliers know that these questions never go away, and that success depends on answering these questions accurately day in and day out. But too much guesswork goes into improving on-shelf availability and avoiding out-of-stock conditions. Inventory and sales data alone can deliver part of the picture, but are insufficient for understanding future conditions. In addition, excluding supply chain data can create situations where needs are identified without the means to fulfill those needs.

Alteryx Solution

The way to maintain your supply chains and stay competitive is to increase the accuracy of your demand forecasting. Only a clear and consistent line of sight into the consumption behavior of your customers — what they will buy, and when and where they will buy it — will ensure you meet their needs. Demand forecasting lets you model the delivery of products all the way from supplier to shelf. Armed with accurate forecasts, you can affect costs, sales, customer satisfaction, customer experience, and brand value. With analytics, companies can automate the testing of 100% of data points, then identify outliers that indicate risk and investigate further. With insight into real-time, transactional data, investigators can readily see fraud as it is occurring and take immediate action to reduce the losses stemming from the fraud.

Alteryx provides the ability to connect data sources, prepare data, and apply advanced analytics automatically so your teams in Operations, Sales, Production, Manufacturing, and Finance can forecast demand more accurately. In minutes, they can determine the best product mix and production quantities to keep your shelves stocked and your customers satisfied.


1 – Data Connection

Pull in historical sales data and supply chain capability data

2 – Prep and Blend

Blend and format data to input into model

3 – Predictive Modeling

Create model that predicts expected future sales


Additional Resources

Starter Kit for Data Blending

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Starter Kit for Predictive Analytics

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Starter Kit for Supply Chain

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Analytics Automation for Supply Chain Intelligence
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Customer Success Stories

Customer Story
Taste the Feeling Coca-Cola Alteryx
Over 1.9 billion Coca-Cola beverages are enjoyed daily around the globe.
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Customer Story
Integratis Models Critical Demand and Resource Scenarios with Alteryx
UK based consultancy, Integratis, leveraged data and analytics to understand what the immediate future holds in an uncertain world.
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  • Professional
  • BI/Analytics/Data Science
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Customer Story
Sasktel inventory forecasts save the day
See how SaskTel started using inventory and demand planning forecasting to get ahead of supply chain issues and better serve its customers.
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  • Technology
  • Telecommunications
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