F&B & Retail
Demand Forecasting for F&B — Weather, Events, and Thin Margins
Malaysian F&B owners over-order and under-staff because signals sit in separate systems. LLM-assisted forecasting from POS, weather, and local events — integrated ops.
F&B margin is won or lost on prep and labour the day before — not the day after finance reviews P&L.
Leak patterns in audits
- Prep waste % (RM/week) vs theoretical usage
- Labour cost % spikes on quiet nights you staffed for "maybe rush"
- No link between marketing promos and kitchen prep sheets
- Outlet managers adjusting orders in WhatsApp, not POS
What integration actually means
Pull signals you already have:
- POS sales by hour and SKU
- Public holiday / school holiday calendars
- Nearby event data where available
- Historical weather correlation (rain ≠ empty for every concept)
LLM layer produces plain-language prep brief for outlet manager: "Tomorrow lunch +18% vs last Tuesday — increase protein prep, hold dessert."
Manager confirms or overrides. System learns from overrides.
What we do not sell
Autonomous ordering from suppliers without human cap — food safety and cash flow kill that on week one.
Links to staffing
Pair with staff scheduling AI for full ops loop.
What to do next
Book a discovery call — one outlet, 8 weeks of POS export is enough to start.