FirmAdapt

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.

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Ecommerce retail

AI for Multi-Warehouse Inventory Allocation: Shipping From the Right Location

Retailers with multiple fulfillment centers can cut shipping costs 15-25% by using AI to position inventory closer to predicted demand clusters.

Basel IsmailApr 2, 2026

Ecommerce retail

Automated Reorder Point Calculation: Why Static Safety Stock Formulas Fail

The standard safety stock formula assumes demand follows a normal distribution. In ecommerce, it almost never does, and that mismatch causes chronic stockouts.

Basel IsmailApr 2, 2026

Ecommerce retail

How Machine Learning Predicts Stockouts 3 Weeks Before They Happen

ML models analyzing sales velocity, supplier lead times, and external demand signals can predict inventory stockouts weeks in advance, giving teams time to act.

Basel IsmailApr 2, 2026

Construction

AI for Tracking Percent Complete: Replacing Manual Progress Reporting

AI progress tracking compares planned vs. actual work using site photos and sensor data, eliminating the guesswork in percent-complete reporting.

Basel IsmailApr 2, 2026

Construction

Weather-Adjusted Construction Scheduling Using Machine Learning

ML weather integration goes beyond checking forecasts, modeling how specific conditions affect specific trades to adjust schedules automatically.

Basel IsmailApr 2, 2026

Construction

Predictive Project Scheduling: How AI Forecasts Delays Before They Cascade

AI scheduling tools analyze historical project data to flag activities likely to slip weeks before the delay actually happens.

Basel IsmailApr 2, 2026

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1,319 articles