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Merchandise Planning & Price Optimization

Bridge merchandising and marketing data and processes across the retail enterprise.

How SAS Delivers Better Merchandise Planning & Price Optimization

Our innovative omnichannel analytic capabilities unify data, customer demand and insights to help you drive profitability, manage inventory and stay competitive.    

Customer-centric assortment planning and optimization

  • Predict customer demand by channel and forecast the impact on future sales.
  • Use predictive and prescriptive analytics and advanced clustering to understand a customer's path to purchase.
  • Identify opportunities to improve performance and increase profitability.
  • Determine the best assortment mix based on available shelf space and financial objectives.
  • Optimize merchandising decisions to improve the customer experience.  

Merchandise location planning

  • Use trade area analysis to determine local in-store and online merchandising, inventory and pricing decisions.
  • Automate processes to predict sales by location, create relevant assortments, optimize inventory, make pricing decisions that resonate with customers, and support e-commerce fulfillment initiatives.

Size/pack optimization

  • Increase margin potential by understanding historical sales and true size demand.
  • Forecast quantities down to store/size level.
  • Recommend pack configurations to meet supply chain constraints and distribution costs. 

Price optimization

  • Gain incremental margin by optimizing profitable price strategies over product life cycles.
  • Use analytics to understand competitor pricing, shape demand and meet financial goals.  

Discover how merchandise planning solutions from SAS use embedded AI to help you balance margin goals while protecting your brand image.

Why SAS® for merchandise planning and price optimization?

Connect to current merchandise planning, allocation or replenishment solutions. Enable an end-to-end retail intelligence solution. And transform your business to meet omnichannel strategies.    

Improve key performance indicators

Optimize financial and assortment plans, as well as allocation and replenishment strategies.

Boost in-stock service levels

Meet consumer size demand by making millions of item or location decisions accurately – even down to size.

Enable better assortment planning

Efficiently rationalize assortments, accurately determine optimal choice count and understand what items were not in the assortment to identify missed opportunities.

Increase profit margins

Optimize profitable pricing strategies over the product life cycle.

Localize and drive profitability

Statistically cluster locations based on selling patterns to work more efficiently and maximize revenue.

Implement analytics

Visualize insights through graphs, charts and scorecards to make analytics more approachable to business users.

Woman carrying shopping bag

SAS® Software Used

How does a US regional department store develop strategic initiatives and plan financial strategies that drive profitability?

SAS helped the department store:

  • Undergo a total technology transformation that includes a new merchandising platform supporting omnichannel strategies and initiatives.
  • Maximize inventory precision by product and location through localized assortments.
  • Drive supply chain and store operation efficiencies through optimized pack recommendations.
  • Increase revenue, boost profitability and improve the customer experience.
View of runners' feet in a race

SAS® Software Used

How does the world's largest supplier of athletic shoes and apparel know the right pricing strategy for each product life cycle?

SAS helped the multinational retailer:

  • Automate the decision-making process.
  • Develop a product life cycle pricing structure that helped reduce markdowns.
  • Understand competitor pricing and plan strategies that improve gross margin.
  • Generate significant additional annual revenue by developing pricing strategies for each stage of the product life cycle.
Three young women shopping for beauty products

SAS® Software Used

How does the largest cosmetics and beauty retailer in Russia create customer-centric assortments to meet local demand both online and offline?

SAS helped the cosmetics and beauty retailer:

  • Create an integrated business planning process from strategy to execution.
  • Improve localized assortment to meet customer demand.
  • Increase revenue and profit margins through improved inventory precision.
  • Reduce out-of-stock and overstocked inventory imbalances.

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