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RELEX Solutions · 2024
What RELEX Solutions shipped in 2024
5 tracked updates · 2024
Track RELEX Solutions for free5 updates tracked
Across 2024, RELEX Solutions shipped 5 tracked updates. That's about 1 a month across 4 active months. The busiest month was June 2024 (2). The dominant theme was events (2). The standout: “Production scheduling: Nitty-gritty planning for big picture benefits” (Oct 30, 2024).
Signal breakdown: 2024
2
events
Activity across 2024
Jan0
Feb0
Mar0
Apr0
May1
Jun2
Jul0
Aug0
Sep0
Oct1
Nov1
Dec0
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Top updates from 2024
November 2024
- relexsolutions.com
How can AI enhance sustainability in supply chain?
AI can reduce supply chain waste and emissions by improving forecasting, demand sensing, and inventory management. Specialized AI tools minimize energy use compared to generative AI, while emissions t…
October 2024
- Eventrelexsolutions.com
Production scheduling: Nitty-gritty planning for big picture benefits
RELEX Solutions published a detailed guide on production scheduling, emphasizing its role in aligning resources, labor, and constraints to meet production targets efficiently. The post highlights bene…
June 2024
- relexsolutions.com
RELEX Introduces AI-driven CO2 Analytics to Help Companies Understand and Reduce their Environmental Impact
RELEX introduced AI-driven CO2 Analytics to automatically track and report the carbon footprint of purchased goods, addressing new EU and California regulations requiring Scope 3 emissions reporting. …
- relexsolutions.com
Wholesale success depends on supply chain technology that maximizes efficiency to drive margins
Wholesale margins are under pressure due to inefficiencies, shortages, and inflation, forcing wholesalers to seek modern solutions. RELEX highlights three ways AI-driven planning platforms can boost p…
May 2024
- relexsolutions.com
Waste not: How grocery retailers transform fresh produce from margin-eater to high performer
RELEX introduced AI-powered forecasting and a mobile app to transform fresh produce management for grocery retailers. The system uses machine learning to predict demand, reduce spoilage, and optimize …
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