A value-retail concept expanding from high-street into a Tier-1 mall anchor position — general merchandise, household & gifting SKUs.
Client operates 3 street-front value stores across the northern emirates and was offered an anchor position in a Tier-1 mall. The mall team wanted a board-ready commercial pack before issuing the LOI.
Existing 3 stores average AED 850/sqft/yr. Mall anchor would need AED 1,600+/sqft/yr to cover 2x rent — doable but tight.
Mall catchment is 2.4M footfall/yr and the client would be the only value-retail anchor — a category gap confirmed by the mall leasing team.
A 5-step repeatable process — from brief to investor-ready pack, powered by AI across financial modelling, market sizing & narrative writing.
Current street mix (5,200 SKU) re-engineered for mall basket — higher gift & impulse, less bulk household.
Footfall → capture rate → conversion → items-per-basket → ticket. Benchmarked vs 2 comparable mall anchors.
Fit-out at AED 380/sqft, opening stock at AED 90/sqft, launch marketing at AED 200k. Full CapEx breakdown.
Revenue, COGS, opex and EBITDA split by 5 super-categories. Year 3 shows EBITDA normalising at 18%.
Board deck (18 slides), full Excel model, 1-page LOI commercial annex, and a 3-page store concept visual brief.
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
5-category planogram concept
Capture → ticket waterfall
Best/base/worst case with levers
18-slide decision deck
Pack went to the client board. Decision was conditional go — approved subject to mall agreeing to a 6-month rent holiday (which they did).
Board approved the concept in first sitting — the 6-month rent holiday ask was a direct output of the sensitivity analysis.
The ask was supported by a clear catchment category-gap argument. Without the data, the mall team wouldn't have conceded.
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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