Powerful. Scalable. Frictionless. Seriously Profitable.
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Home centers and hardware DIY retailers often see dramatic sales fluctuations based on when and where customers decide to work on their lawns & gardens, exterior maintenance, indoor projects, and more. 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: 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.




More Information

Boost Sales by Factoring in This Everyday Driver of Demand

3 Ways Ignoring the Weather Costs Retailers

You Can Mark This Down. Retailers Preserve Margin
with Predictive Demand Analytics.



Factoring the Weather into
Home Improvement Sales
Ace Hardware Uses Planalytics
Weather Analytics