CloudBite Network: A 90-Day Operations Turnaround Strategy for a Multi-Brand Cloud Kitchen Operator

This report presents a forensic operational diagnostic and 90-day turnaround strategy for CloudBite Network — a 12-kitchen, multi-brand cloud kitchen operator across Mumbai, Bengaluru, and Hyderabad. The business experienced EBITDA compression of 600 basis points (from 14% to 8%) over six trailing months, driven entirely by structural failures in fulfilment architecture rather than demand-side weakness. The diagnostic is grounded in 2.4 million order lines, 45,000 rider dispatch logs, and 84 hours of time-motion observation across 12 kitchens. Five structural root causes are isolated: SKU portfolio bloat (140+ items, bottom 40% generating 8% of revenue), kitchen layout incompatibility with high-volume multi-brand delivery, static delivery radii accepting orders undeliverable within SLA, one-to-one rider dispatch inflating last-mile cost by over 40%, and absent SOP standardisation across the network. The analytical framework applies queuing theory (M/M/c model), fork-join process modelling, Pareto-ABC analysis, VRPTW-based dispatch optimisation, and discrete event simulation. Five sequenced interventions are prescribed with a structured 90-day implementation roadmap. Projected outcomes: EBITDA margin restored from 8.0% to 13.5%, average delivery time reduced from 47 to 38 minutes, repeat order rate recovered from 29% to 34%, food waste reduced from 18% to 11% of COGS, and peak utilisation normalised from 95%+ to 78%. Net EBITDA gain: Rs. 2.64 crore per annum. Total capex: Rs. 32 lakh. Payback period: under 44 days. Annualised ROI: 825%. This work is part of the author's Management Consulting Portfolio and is presented as an independent case study for academic and professional reference.