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How To Implement Predictive Analytics Into Your Company

Logility

Chances are, if you’re in marketing, sales, or one of the more technical aspects of business, you’ve used predictive analytics in some part of your job. But your company doesn’t have to be a retail giant to use predictive analytics. using predictive analytics?built Predictive Analytics in a Nutshell.

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ToolsGroup Partners with Planalytics to Bring Weather-Driven Analytics to Retail Planning

ToolsGroup

BOSTON, February 16, 2022 : ToolsGroup , a global leader in supply chain planning and optimization software, has partnered with Planalytics to integrate their weather-driven demand (WDD) analytics with ToolsGroup’s retail planning solutions, enabling customers to isolate, measure, and manage the influence of weather on their businesses.

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The Benefits of Integrating Operational Reports with Strategic Analytics

Silvon Software

Requests for custom reports or dashboards by business leaders are met with lengthy development times by IT or external analysts, resulting in single-use reports that are limited in scope. Strategic analytics, on the other hand, is often associated with reporting from an analytical data source like a data hub.

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Why a Modern BI Platform is Needed for Predictive Analytics

Silvon Software

Predictive Analytics has emerged as a pivotal tool in this quest, offering unprecedented foresight into market trends, consumer behavior, and operational efficiencies. Data Quality and Integration At the heart of any predictive analytics model is data.

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Crucial MRP Metrics Every Supply Chain Pro Should Know

SCMDOJO

This blog explains The Key MRP Metrics in Supply Chain whcih every supply chain professional in Manufacturing or Distribution Businesses. The metrics that underpin MRP could be described as the balls in this juggling act. This article takes an in-depth look at the crucial metrics every supply chain professional needs to know.

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How Manufacturers Can Leverage AI & Analytics For Strategic Decision-Making

Silvon Software

Insights gleaned from robust data analytics enable core business areas to identify opportunities for risk reduction, enhance operational efficiencies, and foster strategic initiatives that drive business growth. For example, using forecasting models to predict quarterly sales and adjust marketing spend accordingly.

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What to know about AI in retail analytics

crisp

Retailers’ investments in AI to realize this value have led to two key developments: consumer technology that personalizes shopping experiences and drives purchase behavior; and new, more robust data infrastructure and reporting solutions to drive supplier success.