Field notes on AI in business
Practical writing on AI, automation and the day-to-day work of running a business. From the team that builds and runs AI systems.
Construction
AI for RFI Response Time Optimization: Getting Answers Before Work Stops
AI tools analyze RFI patterns and route questions to the right reviewer faster, cutting average response times from 12 days to under 5.
Basel IsmailApr 2, 2026
Logistics transportation
Multi-Stop Route Optimization for Last-Mile Delivery Fleets
Last-mile delivery routes with 80-150 stops per driver require specialized AI approaches that traditional routing tools were never designed to handle.
Basel IsmailApr 2, 2026
Manufacturing
How Automotive Tier-1 Suppliers Use AI to Meet OEM Quality Standards
AI quality systems help Tier-1 automotive suppliers meet IATF 16949 requirements and OEM-specific standards with data-driven process control.
Basel IsmailApr 2, 2026
Manufacturing
AI for Pharmaceutical Manufacturing: Batch Record Review Automation
AI systems that automate batch record review cut review time from 8 hours to 45 minutes while catching more deviations than manual review.
Basel IsmailApr 2, 2026
Manufacturing
Computer Vision for PPE Compliance Detection on the Factory Floor
AI camera systems detect missing hard hats, safety glasses, and high-vis vests in real time, alerting supervisors before incidents occur.
Basel IsmailApr 2, 2026
Manufacturing
AI for OSHA Compliance: Automated Safety Observation Tracking
AI systems that automate safety observation logging, trend analysis, and corrective action tracking help manufacturers maintain OSHA compliance consistently.
Basel IsmailApr 2, 2026
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Manufacturing
Predictive Maintenance for HVAC Systems in Cleanroom Manufacturing
AI monitoring of HVAC parameters in cleanrooms prevents particle count excursions that can scrap entire batches worth hundreds of thousands of dollars.
Basel IsmailApr 2, 2026
Manufacturing
How AI Monitors Compressed Air Systems to Eliminate Leak-Related Waste
AI acoustic monitoring continuously maps compressed air leaks across a facility, prioritizing repairs by energy cost and catching new leaks within hours.
Basel IsmailApr 2, 2026
Manufacturing
Energy Consumption Optimization in Manufacturing: Where AI Finds 15% Savings
AI-driven energy management identifies waste in compressed air, HVAC, motor systems, and production scheduling that adds up to 12-18% savings.
Basel IsmailApr 2, 2026
Manufacturing
AI-Powered Production Scheduling: Reducing Changeover Time by 35%
ML scheduling algorithms that optimize job sequencing based on setup similarity, due dates, and resource constraints cut changeover time significantly.
Basel IsmailApr 2, 2026
Manufacturing
How AI Optimizes Safety Stock Levels Without Overstocking
ML models that factor in demand variability, supplier reliability, and lead time uncertainty can cut safety stock 20-30% while maintaining service levels.
Basel IsmailApr 2, 2026
Manufacturing
Automated Supplier Risk Scoring: Identifying Vulnerable Links in Your Supply Chain
AI models that combine financial data, delivery performance, and external signals can score supplier risk continuously rather than just at annual reviews.
Basel IsmailApr 2, 2026
1,319 articles