V5 Ultimate
Problem solved · Margin control

Stop silent giveaway across every shift.

Most plants find out about yield loss at month-end COGS. V5 surfaces it the moment the scale settles.

Start free — no card
Signals from the floor

What changes once Yield-loss & silent giveaway control is live.

Indicative ranges from V5 pilot deployments. Your numbers will land near these once the workflow is operator-led and e-signed at the step.

Material variance
6.4%
down from 6.4% on paper
Yield posted at close
0%
auto-calc from weigh + WIP
Variance reviews/week
8
down from 8 — exceptions only
Margin reclaimed
$0.0M
indicative, mid-size pilot, annualised
Before / after

What changes the day you switch this on.

Before V5
  • Variances and overcharges discovered at month-end COGS.

  • Operators jump between paper SOPs, scales and a back-office PC.

  • Manual, paper-driven, and only audited after the fact.

With V5
  • Live tolerance bands at the scale

  • Variance dashboards by SKU / line / operator

  • Drives true labor & material COGS

What you actually get

Operator-led, e-signed, immutable. Engineered for regulated manufacturers — not retrofitted.

Live tolerance bands at the scale

Operators see green/red as they pour; overcharges are caught before the bag goes in the kettle.

Variance dashboards by SKU / line / operator

Pinpoint which SKU, which line and even which operator is bleeding margin.

Drives true labor & material COGS

Real consumption posts the moment a bag is dispensed — your finance team sees variance daily, not monthly.

V5

Curious how this lands in your environment?

AI inside Stop silent giveaway across every shift.

Where AI actually earns its place.

Where the live tolerance band catches a single overcharge, AI looks across the shift and the SKU to say which line, operator or material is actually costing margin, before it shows up in COGS.

  1. 01

    Root-cause hints on a variance spike

    When yield drifts for a SKU or line, AI correlates the batch against operator, shift, scale, ambient conditions and raw-material lot, and proposes the two or three most likely contributors with the evidence behind each.

  2. 02

    Operator scorecard commentary

    Rather than a bare number, AI adds a short explanation to an operator's variance scorecard — for example, a consistent high-side bias on one material — so a supervisor's coaching conversation starts with specifics.

  3. 03

    Early warning before month-end COGS

    AI watches the daily variance dashboard and flags a SKU or line trending toward a material cost problem days before it would otherwise surface in a monthly finance review.

    Moves giveaway detection from month-end to same-week.

What AI never does

AI never adjusts a tolerance band or a scale reading. It only analyses signed, already-captured weigh data to explain variance; nobody's dispense record is altered by an AI suggestion.

What this leaves behind

One operator action — a complete, signed record.

Built-in evidence

What it leaves behind

  • Per-batch yield closeout
  • Operator scorecards
  • ERP-bound consumption postings
Engineered on
21 CFR Part 11 e-signatures
Immutable audit trail
Multi-tenant RLS isolation
GS1-128 license plates
Two-way ERP adapters
Common questions

What buyers ask before they switch on Stop silent giveaway across every shift..

Got questions, or want to see it on your shop floor?

Ask V5 — our code-aware assistant — or spin up a workspace. Both are free.