Most brands rebuild their sales forecast once a month — too slow to catch real demand shifts. This case study breaks down a six-step framework for reading e-commerce performance daily: filtering bot traffic from real sessions, tracking demand against prior year, reconciling web orders against store-fulfilled sales, and running a rolling forecast that recalibrates weekly instead of monthly.