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The Evolution and Future of Demand Management

ThroughPut

But to not be able to understand or manage that demand, given the market volatility created by higher customer expectations and shorter fulfillment cycles, has created continuous ripples of chaos in the entire supply chain. Are we able to intuitively align inventory to match demand? If not, how do we get there?

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Surviving an Economic Downturn in the Retail Sector

Enterra Insights

The good news, however, is they have plenty of options in their product assortments, store footprints, customer behavior and even virtual worlds as they face these economic headwinds, using tools including basket analysis, which shows what customers are buying, and assortment planning, which helps retailers decide what to sell.”

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Making Cents Out of Demand Sensing

Logility

Gartner defines demand sensing as "the translation of demand information with minimal latency to detect who is buying the product, what attributes are selling and what impact demand-shaping programs are having.“ This sounds a lot like the definition for demand planning to me. And now back to that crux.

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The Evolving Landscape of Artificial Intelligence (AI) in Supply Chains & Logistics

ThroughPut

Also, accurate inventory management can help in preventing overstocking, inadequate stock and unexpected stock-outs. With their ability to handle mass data, AI driven tools can prove to be highly effective in inventory management. This can help enhance overall supply chain performance. ENHANCED SAFETY.