Powerful. Scalable. Frictionless. Seriously Profitable.
Demand More TM
Grocers need to optimize demand forecasts in order to balance inventory costs and perishable waste/shrink in a way that doesn’t sacrifice service levels. Planalytics’ predictive demand analytics enable companies to adjust inventories based on when, where, and how much the sales of specific products will increase or decrease due to the weather, the most omnipresent external driver of consumer purchasing.
POWERFUL: With over 40,000 product and service categories analyzed based on trillions of actual consumer purchases, Planalytics combines proven analytical modeling and machine learning/artificial intelligence techniques to quantify demand changes.
SCALABLE: There is no faster or cost-effective way to scale product-specific, localized weather-driven demand metrics across a business. Planalytics is able to develop hundreds, thousands, even tens of thousands of demand models for a business within a few weeks.
FRICTIONLESS: With frictionless integrations into leading solutions from SAP, Blue Yonder, Oracle, and other SaaS and ML/AI solutions, retailers don’t have to wait months or years to operationalize analytics that directly enhance core processes such as planning, replenishment, marketing, and reporting.
SERIOUSLY PROFITABLE: Grocers that integrate Planalytics’ predictive demand analytics are generating at least $3 million in EBITDA annually per $1 billion in revenue primarily by increasing availability and reducing perishable waste/shrink (typically by 10-35%). For more details, we invite you to request a financial benefit for your business.
*Waste reduction can significantly reduce a company’s carbon footprint and associated tax expense in jurisdictions with carbon taxes. To learn how Planalytics’ predictive demand analytics can support your company’s sustainability goals, request our white paper.