Automate and accelerate demand planning insights across your supply chain.

How SAS® Enables Demand Planning

SAS provides collaborative forecasting and demand planning steps, transforming demand planning into a continuous, flexible process.

Cloud-native forecasting for any size company

  • Automatically generate statistically driven, weighted consensus forecasts.
  • Monitor forecast performance to understand value added or lost at each step.
  • Use out-of-the-box modeling strategies with predefined models.

Demand sensing & shaping

  • Visually analyze demand data to spot patterns and insights related to sales, shipments, pricing, promotions, etc.
  • Evaluate sales history and plan for future events – new products, locations, channel introduction – using what-if scenario analysis.
  • Measure the effect of sales and marketing strategies on consumer demand using multitiered causal analysis.

Optimized transportation costs

  • Adopt enhanced end-to-end supply chain execution.
  • Connect demand plans to products and freight on the move.
  • Reduce transportation costs while increasing agility.

Get to Know Demand Planning With SAS® Analytics

Discover how demand planning and supply chain solutions from SAS use machine learning, automation and optimization to help you ensure the right level of product is available to cover demand across channels.

Why choose SAS® for demand planning?

Automate and optimize inventory distribution by calculating optimized inventory levels and order quantities for every SKU, location and channel.

Improve forecasting accuracy

Model and forecast all your products and selling locations with a patented statistical forecasting engine that uses advanced forecasting methods.

Optimize inventory & reduce stockouts

Use analytics to drive product where it's needed most to meet customer demand while managing the overall costs of inventory.

Take the guesswork out of forecasting

Use retail forecasting models that include underlying trends, seasonality, promotions, etc. Automated, large-scale forecasting selects the best-fit model based on individual time series.


Working Smarter With SAS®

  • Boosting sales and gross margins by accurately predicting and planning for demand

    SAS helped Levi Strauss & Co. improve its SKU mix, increase shipments to key accounts and cluster trade areas based on profitable products.

  • Combining online shopping ease with the advantages of a physical store presence

    SAS helped a multinational retailer that operates hypermarkets, discount department stores and grocery stores:

    Reduce shipping costs and improve fulfillment of e-commerce orders by offering in-store pickup.

  • Generating more accurate demand forecasts

    SAS helped a US clothing company with the largest intimates assortment:

    Maximize its inventory to meet demand while minimizing risk.

    Explore More on Demand Planning & Beyond



    Is your demand management process stuck in the 1990s?

    Learn why demand management leaders are transitioning to an analytics-driven culture investing in cloud-native demand management technologies, data scientists, predictive analytics and machine learning.



    What Brands Get Wrong About Demand Planning – and 3 Ways to Make It Right

    Explore how retail and consumer goods brands can use the right consumer demand signals and other critical downstream data, plus analysis and insights, to stay ahead of the demand curve.


    4 Stages to Becoming an Intelligent Demand Planning Organization

    Check out this interactive guide to getting more from your data with analytically driven, real-time forecasting for retail, consumer products and manufacturing companies.