FoodHub Intelligence Studio — Executive Review
A one-page, evidence-bound walkthrough of the customer demand, operational performance, and platform economics findings from the FoodHub order dataset.Showing demo placeholders — dataset is loading.
Top 3 cuisines (American, Japanese, Italian) account for 71.2% of all orders — partner-management investment should follow this concentration.
Average prep 27.4 min vs delivery 24.2 min. 29.4% of orders exceed the 45-minute SLA, driven mostly by delivery duration.
Pearson r = -0.03 between order cost and total time — premium orders don't get faster service, suggesting routing logic ignores order value.
Only 61.2% of orders are rated. Treating unrated as low-rated would bias conclusions; the analysis explicitly separates them.
Weekend AOV is only +1.6% vs weekdays — the volume shift, not basket size, is what FoodHub should staff for.
Tier restaurants by delay rate and rating coverage. Coach the bottom decile on kitchen throughput; reward the top decile with priority routing.
Trigger an in-app rating prompt 20 minutes after delivery. Lifting coverage from 61% toward 80% materially improves the satisfaction signal.
Pilot delivery-partner routing weighted by order value so premium orders see a measurable time advantage — directly addresses the weak cost↔time relationship.