Operating question · Waste tracking

Waste was visible only after the money was gone.

Before Service turns waste logs into pattern detection — by station, by shift, by SKU — so tomorrow's prep plan shrinks before the same pan gets dumped again.

Restaurant operator reviewing supplier costs and inventory variance before service.

Focused output

IN REVIEW

Waste watch

System generated — operator review required.

What it answers

Dumped mise looks like one bad night. It's actually a pattern.

Without pattern detection, the same waste repeats every week. Sunday hummus, Monday pickled onion, Wednesday sourdough — quietly accumulating into the largest controllable cost on the P&L.

01

Same SKU, same shift, dumped every week.

02

Waste log entries no one reads after the shift.

03

Prep pars never adjusted to reflect the pattern.

04

Hard to attribute waste to forecast vs portion vs spoilage.

Inputs

Signals used to prepare the brief

  • Waste pattern detection by SKU, station and shift
  • Recommended par adjustments with cost impact
  • Distinguishes forecast error, over-portioning and spoilage
  • One-tap waste logging on mobile for the line

Output artifact

Pattern detection that shrinks pars automatically.

  • Waste pattern detection by SKU, station and shift
  • Recommended par adjustments with cost impact
  • Distinguishes forecast error, over-portioning and spoilage

Confidence + rationale

Readable evidence, not a black box

  • Invoices, recipes, on-hand counts, sales mix, and recorded waste
  • Confidence shown beside the recommendation
  • Source signals stay available for review

Operator boundary

The system prepares the call. Your team confirms it.

Realistic pre-service scenario

A supplier increase puts pressure on one menu item. The brief shows the source and leaves the pricing call to the operator.

No automatic action. A human operator reviews every decision.

Service sequence

How a kitchen manager closes a waste loop.

  1. Each shift

    Line logs waste with reason in 5 seconds on mobile.

  2. Sunday 22:00

    Pattern detector flags a recurring Sunday mise dump on hummus.

  3. Monday 06:00

    Sunday hummus par recommendation drops 20% in next week's prep plan.

  4. Following Sunday

    Waste falls; if it doesn't, the model adjusts again.

  5. Monthly

    Waste trend appears in the operator's P&L brief.

Shrink the waste pattern before next Sunday.

Start logging waste in Before Service this week — the pattern detector needs only a few shifts to act.

Build today's brief

FAQ

Questions operators actually ask.

  • No. Before Service sits on top of the POS, schedule and vendor invoices you already use. We turn that data into the daily decisions a POS won't tell you — what to prep, who to staff, what to re-price, what to 86.