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AI in the Retail Industry: Benefits, Case Studies & Examples

ThroughPut

Capacity Buffers to Ensure On-time Delivery Demand sensing and predicting demand spikes help retailers adjust capacities accordingly. The post AI in the Retail Industry: Benefits, Case Studies & Examples appeared first on ThroughPut. Such detailed analytics also reduce retrieval times for faster order processing.

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AI in the Food Industry: Case Studies, Challenges & Future Trends

ThroughPut

Case Studies of Successful AI Integration in Food Supply Chain Church Brothers Farms Church Brothers Farms, a family-owned vegetable business with a vast cultivation area of 40,000 acres, faced significant challenges due to product perishability, volatile market conditions and logistical issues, among others.

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Supply Chain Case Study: the Executive's Guide

Supply Chain Opz

Analysis of case study is certainly one of the most popular methods for people from business management background. In order to accelerate the learning, this article has gathered 20+ most sought-after supply chain case studies, analyzed/categorized them by industry and the findings are presented.

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Navigating the Complexities of Ready Mix Concrete Logistics: A Case Study with ThroughPut

ThroughPut

Secondly, coordinating customer needs, plant capacity, and transport resources was also vital. This case highlights that employing tools like ThroughPut in the Ready Mix Concrete industry can be essential in refining logistics, enhancing material flow, and aligning production with demand.

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TMS for SMB: A Case Study with Carhartt

Talking Logistics

Its manufacturing capacity is at the highest level in the company’s history, and just two years ago Carhartt began opening its own retails stores across the country (with stores in 17 states as of the end of September 2016). Capacity Management. Gibson highlighted in her presentation, Carharrt is experiencing rapid growth.

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Judging Supply Chain Improvement: Campbell Soup Case Study

Supply Chain Shaman

While the driver for this move was excess capacity, as well as a compelling cost savings benefit, we also knew there would be a two-year hit on our inventory performance until the flexibility was created at other sites to allow the inventory levels to fall and resume the improvement trend we had been following.

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Real-time Capacity Matching: Making Brokers More Efficient

Talking Logistics

At the Descartes Evolution User Conference this past March, I attended several sessions about the MacroPoint solution and they were all standing room only , including the one where William Wehrle and David Bazzetta from BASF shared their case study. Real-time Capacity Matching: The Second Wave of Demand and Value.