Claim a load
Select an available docket from the queue. The load moves into an Underway state so its processing context is visible.
← Client work · Industrial operations
A scanner-first scaling workflow for handheld operators.
The app starts with a load queue, keeps the operator in a repeated scan-and-classify loop and writes each decision as a structured Dataverse line record. It is built around the device and the process, not a desktop form shrunk to fit.
Power Apps CanvasBarcode readerMicrosoft DataversePower FxPhone-first UX
LOAD QUEUEReadyUnderwayHoldSaved
ACTIVE LOADScan and classify
Large touch targetsAcceptUpgradeReject
HEADERIncoming loadDocket and queue context
BARCODEScan next logRepeated operator loop
GRADEReference choiceControlled classification
LINEOutgoing recordOne decision per scan
Scan→Classify→Save line
Load queueOperators select an available load before scanning.
Three decisionsAccept, Upgrade and Reject remain explicit.
Two record levelsIncoming headers stay separate from outgoing scan lines.
Handheld-firstThe interaction rhythm is designed around repeated scans.
What an operator actually does
The screen follows the scan-entry rhythm.
The useful workflow is a compact loop: claim a load, scan a barcode, classify it, continue or pause, then save the load when the set is complete.
Scan and classify
Capture the log barcode, then Accept, Upgrade or Reject it using large controls. Grade and reason lists come from reference data.
Continue or pause
Each decision creates or updates its own outgoing line. The operator can hold the load or save it when the scan set is complete.
Why the data model matters
A load header plus a record for every decision.
Splitting the incoming load context from outgoing scanned lines keeps the operator’s loop fast while preserving reviewable detail.
Incoming load header
- Queue contextKeeps docket and load information once instead of repeating it on every barcode row.
- Operational stateUnderway, Hold and Saved make progress explicit during processing.
- Selection rulesOperators choose a load that is available for the current action.
Outgoing scan lines
- One barcode decisionEach scanned log becomes its own structured record for independent review.
- Controlled referencesGrade and reject reason tables keep classification values consistent.
- Move-row contextThe workflow can preserve operator decisions when a row needs to be moved or revisited.
Public-proof boundary: this page describes the documented solution structure and field flow. It does not claim a measured throughput improvement, and the visual contains no real docket or barcode data.
Device-aware delivery
Small screens expose weak process design quickly.
For handheld work, the details are the product: where the operator’s thumb goes, what state the load is in and whether a failed save is visible.
Large targets
Repeated scanning and classification use high-contrast controls sized for handheld interaction.
Explicit states
Underway, Hold and Saved reduce ambiguity when an operator pauses or returns to a load.
Structured history
Header and line records preserve a cleaner operational trail than one long free-text entry.
Talk through handheld work
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Tell us what operators scan, classify and save today. We can help shape the device interaction, state model and data structure together.
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