Food delivery operations dashboard

Tracks platform health for a food delivery service: demand, customer retention, SLA performance, and restaurant-level operational bottlenecks.
Stakeholder-focused views for executives, CX teams, and operations, each filterable to full-year 2024 or any quarter.
Key finding: demand held steady across 2024 while ratings and on-time delivery slipped. Q4 delays traced back to prep time at a few high-impact restaurants, which drove most SLA misses even as the delivery tail improved.

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What it answers

Is demand stable, or are orders and revenue shifting over the year?
How are customer ratings and SLA attainment trending?
Which cuisines and restaurants contribute most to revenue?
How strong is quarter-over-quarter retention, and how many customers order only once?
When does demand peak by hour of day and day of week?
Which restaurants drive Q4 delays, and is prep time or delivery time the cause?

Executive overview: orders, revenue, average order value, ratings, SLA 60m attainment, P95 fulfillment
Customer behavior: retention, order frequency, reorder timing, day-hour demand patterns
Q4 operations deep dive: prep and delivery trends, late-order delay buckets, restaurant-level contributors

Synthetic transactional dataset, expanded from a public Kaggle food-ordering dataset
Sample data and a data dictionary are in the repo