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.
SAS® Software Used
- SAS® Merchandise Financial Planning
- SAS® Forecast Server
- SAS® Size Optimization
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.
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.
SAS® Software Used
- SAS® Merchandise Financial Planning
- SAS® Demand Signal Repository
- SAS® Forecast Analyst Workbench
- SAS® Collaborative Planning Workbench
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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