A South-Asian casual concept targeting the Satwa / SZ-corridor catchment — dine-in, takeaway & aggregator-led delivery blend.
A repeat client (F&B operator running 4 existing units) was tempted by a larger 2-floor shell on the SZ corridor. The rent was 1.6x their current cost-per-sqft. They needed a go/no-go memo before committing.
Rent-to-sales needed to stay under 12% or the site wouldn't survive a soft year. Existing 4-unit P&L said yes; the shell was untested.
Corridor supports both daytime labour crowd (lower ticket, high volume) and evening family footfall (higher ticket). Blended daypart model was the opportunity.
A 5-step repeatable process — from brief to investor-ready pack, powered by AI across financial modelling, market sizing & narrative writing.
Split the trading week into 28 daypart blocks (7 days x 4 parts), forecast cover count & ticket each.
Dine-in vs takeaway vs Talabat/Careem/Deliveroo — each channel has its own GP & commission structure.
Client already has a fit-out reference from unit 3; we priced a 30% uplift for the bigger shell & corridor visibility.
Three scenarios with the rent-to-sales guardrail set at 12%. Model breaks the no-go trigger at 0.78x base case.
Front page: traffic light decision. Back page: the 3 trigger conditions that would flip the decision. Client signed within 48 hrs of receiving.
Each row is a finished tab, slide or one-pager handed to the client — ready to share with lenders, investors or JV partners.
One-page investor-ready narrative
Revenue, COGS, opex, EBITDA by month
Month-by-month to break-even point
Fit-out, equipment, licensing & launch
28-block cover & ticket forecast
Channel-level GP calc
Best/base/worst case with levers
2-page exec decision brief
Client went ahead after seeing the stress test — downside scenario still cleared the 12% rent-to-sales guardrail. Fit-out started within 30 days of the memo.
The 2-page memo format got the decision across the client's 3 partners in one sitting — no follow-up meeting needed.
Same daypart blend template is now used by the operator for every new unit evaluation — no more bespoke sheets.
Feasibility studies, investor pitches, P&L models & market sizing — built with AI in 48 hours, reviewed by 37+ years of GCC retail experience.
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