Powerful. Scalable. Frictionless. Seriously Profitable.
Clothing and footwear, pet supplies, automotive parts, and other category-focused or specialty retailers see traffic levels and sales of specific products vary on a day-to-day basis and differently across stores and markets. 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, Island Pacific, Mi9 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, allocation, replenishment, marketing, and reporting.
SERIOUSLY PROFITABLE: Retailers that integrate Planalytics’ predictive demand analytics grow profit margins through increased sales (improved availability/fewer out-of-stocks), lower costs (e.g. inventory carrying costs, markdowns, etc.), and/or more effective use of marketing dollars (e.g. improved ROAS, etc.). For more details, we invite you to request a financial benefit estimate for your business.