Category: Big data supply chains

Big data supply chains

The Sad Demise of the Food Industry

For the period of 2016-2025, the industry average was 11% operating margin and 7.82 inventory turns, with a 35% decline in industry inventory performance. Few companies were aware of or adapted to the shift in industry potential.
Today, the shifts are faster as consumers trade down to cheaper brands and retail private label gains market share. Major inflationary spikes in protein, especially beef and eggs, due to supply shortages and disease-related disruptions in 2025, continue the never-ending ride in commodity volatility. Yet, companies are insular to adapt their supply chain practices. Putting AI on top of traditional supply chain processes is a recipe for disaster.

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analytics

Meet the New Dr. No.

The buyer today for supply chain planning is more conservative. The leaders — Chief Supply Chain Officers —are hardened and conservative, with many becoming “Dr. Nos” during sales cycles while pushing traditional definitions of technology.

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analytics

Move Your Own Mountain

The journey of AI automation is a path of carrying small stones starting with the redefinition of architectures with a focus on semantics.

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Big data supply chains

The Beat Goes On

A reflection of how we need to unlearn to rethink supply chain planning processes.

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analytics

The Orchestration Shuffle

As approaches in Artificial Intelligence mature, we have the opportunity to orchestrate the supply chain response. Accomplishing this goal, requires the rethinking of work holistically.

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Big data supply chains

Mistakes and Opportunities

Discussion of the barriers in moving from traditional planning platforms to build new processes on native-AI supply chain planning platforms.

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analytics

Unsettled

Shifting sands. War. Tariffs. Shortages. Price increases. Ocean booking cancellations. Tightening of pocketbooks: changing demand patterns. Decline in consumer confidence. All are unsettling. Companies are

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