Case Study Eliminating Excel in Purchasing Inventory Predictive Analytics 
ThroughPut
MARCH 28, 2024
Food Production AI tools can drive advanced predictive analytics with precision forecasting for weather and crop yield predictions. Artificial Intelligence in supply chain helps track products from harvest to distribution channels and manage inventories with greater accuracy. All for the good.
Invata Intralogistics
APRIL 5, 2024
From reducing return rates by analyzing product data to predicting inventory needs with startling accuracy, AI systems offer many benefits that traditional problem-solving methods can’t replicate. Inventory saved in the ‘right’ or most accessible location ensures a quick and efficient fulfillment process.
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SCMDOJO
MARCH 19, 2024
When customers have transparency into product availability, delivery timelines, and order status, they are more likely to complete purchases and continue shopping with a business. At the same time, it makes excellent sense to have a good SEO software solution to keep track of how your marketing strategies perform.
Elementum
FEBRUARY 7, 2024
It’s a strategic reimagining of business models and processes, powered by cloud computing, big data analytics, and AI, making businesses more adaptive, responsive, and customer-focused than ever before. The result?
ThroughPut
OCTOBER 7, 2022
After all, most of these business functions were created for a very different era where any change was predicted earlier and absorbed easily. Understanding and predicting demand in unpredictable times. Most manufacturers prefer to leverage analytics data over traditional forecasting and time series techniques.
Unleashed
MAY 19, 2020
Case study 1: Epic Brewing Company. Case study 2: Zeffer Cider. How many stock-outs, an event that caused inventory to be exhausted? Don’t purchase any supply chain solution that is not Cloud or SaaS based. Don’t buy any solution from a supplier that has no brewing sector experience. Customer service.
Supply Chain Shaman
FEBRUARY 25, 2016
Stuck at the intersection of operating margin and inventory turns, only 10% of companies are making progress. Unable to power additional year-over-year improvements at the intersection of cost and inventory, companies struggle. Or to move from predictive analytics to prescriptive/cognitive capabilities to sense/learn and act?
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