Planalytics Employee Directory
IT Services and IT ConsultingVirtual, United States51-200 Employees
Planalytics is a global leader in predictive demand analytics that enable retail-focused businesses to factor in the consumer context driving buying decisions and take action at scale. Consumer behavior is complex, often chaotic, making it essential for companies to systematically incorporate key influencers of purchasing in order to better anticipate demand. Of those key influencers, the weather is the most consistent and impactful external demand driver. Planalytics applies advanced statistical methods, artificial intelligence (AI) & machine learning (ML), mountains of sales data, and unmatched retail demand expertise to isolate and calculate the consumer’s relationship with the weather. Planalytics’ predictive demand analytics are used by companies to improve reporting and analysis, planning, allocation, replenishment, and digital marketing. Powerful. Scalable. Frictionless. Seriously Profitable. Demand More. POWERFUL: With over 40,000 product and service categories analyzed based on trillions of actual consumer purchases, Planalytics proven analytics precisely quantify demand changes. SCALABLE: There is no faster or cost-effective way to scale 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: Get better demand forecasts quickly with frictionless integrations into leading solutions from SAP, Blue Yonder, Oracle, Island Pacific, Mi9 and other SaaS and ML/AI solutions. In a matter of weeks, retailers can operationalize analytics that directly enhance core processes. 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, perishable waste/shrink, etc.), and/or more effective use of marketing dollars (e.g. improved ROAS, etc.).
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