Office-park cafés
Cafés within 500m of office parks see 40% more orders between 7 and 9am
Brewster combines your order data with anonymised geo-market signals from across South Africa to surface insights no single-venue operator could generate alone.
Brewster aggregates anonymised, privacy-safe order signals across South African hospitality venues. The result is market intelligence that tells you not just how your venue is performing, but how it compares to the broader local market. No individual venue data is ever shared. All signals are aggregated, geo-anonymised, and stripped of identifiers before analysis.
Cafés within 500m of office parks see 40% more orders between 7 and 9am
Lunch peaks are 18 minutes later in Cape Town CBD vs the South African national average
Flat White generates the highest average margin at 73% of Cape Town venues on the platform
Venues near co-working spaces achieve 2.3x more loyalty reward redemptions per customer
Every night, Brewster analyses your order patterns alongside anonymised aggregate data from South African hospitality venues to surface opportunities you would never spot manually.
Plain-English intelligence reports generated each week - promotion suggestions, missed opportunities, waste highlights, and revenue comparisons against similar South African venues.
Understand how your venue performs relative to your local market. Anonymised signals from nearby venues reveal demand patterns, peak windows, and pricing benchmarks you cannot see in isolation.
AI-generated revenue projections based on your order history, day-of-week patterns, and seasonal trends observed across the Brewster network. Plan stock and staffing with confidence.
Daily, weekly, and monthly revenue at a glance. Filter by order type - pickup, in-store, or table - to understand exactly what is driving growth and where to double down.
Understand when your venue is busiest and how that compares to market averages. AI-powered staffing suggestions based on your historical rush patterns and geo-benchmarks.
Surface which items generate the most revenue, which have the best margin, and which are dragging down your average order value - with AI-suggested menu optimisations.
Combine wastage logs with sales velocity data to identify where you are losing margin. AI flags overstock risks and suggests order quantities based on your sell-through history.
Get notified when something unexpected happens - a revenue spike, a sudden drop in a popular item, or a new peak hour you have not staffed for. Catch it early, act fast.
No. The revenue dashboard and peak-hour view build from the orders you are already taking, so the numbers appear as you trade rather than after a configuration exercise.
A short written read on the week - what moved, what slipped and what is worth attention - generated from your own order data. It is free on every plan, so the reporting is not the thing you have to upgrade for.
It looks at each item on both sales and margin, which is the pairing that matters: a top seller with thin margin and a quiet item with a strong one need different decisions, and volume alone hides that.
A pattern that breaks from your own history - a sharp change in takings, discounting or voids against how that day usually looks. It is a prompt to check, not an accusation, and it comes with the numbers behind it.
It reports on market-level patterns in your area, never another venue's individual trade. No other business on Brewster can see your figures, and you cannot see theirs.
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