Logility
MAY 18, 2020
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.
ThroughPut
DECEMBER 6, 2023
Supply chains used to live in the past. Thanks to the more advanced forms of supply chain analytics like predictive analytics, supply chains are proactively looking into the future and prepping for “what is to come” rather than only ruminating over “what already happened.”
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SCMDOJO
SEPTEMBER 8, 2023
This blog explains The Key MRP Metrics in Supply Chain whcih every supply chain professional in Manufacturing or Distribution Businesses. Supply chain professionals will be familiar with the term Material Requirements Planning (MRP).
Precoro
MAY 19, 2023
According to McKinsey survey of global supply chain leaders , only 53% of respondents describe the quality of data in their supply chain planning systems as “sufficient” or “high.” less likely to be affected by supply chain disruptions.
ToolsGroup
FEBRUARY 16, 2022
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.
Silvon Software
AUGUST 8, 2022
Supply chain challenges stemming from the pandemic and other global events continue to plague manufacturing and distribution companies. While beneficial, this also brings added complexity to the supply chain in a number of ways. Drive actionable insights across multiple business processes.
ThroughPut
FEBRUARY 23, 2024
A report by McKinsey shows that early adopters of AI in the supply chain have improved their inventory levels by 35%, reduced logistics costs by 15%, and enhanced service levels by 65%, vis-a-vis competitors who were slow to embrace AI. With rapid fluctuations and uncertainty, predicting customer demand is like shooting in the dark.
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