Beta

Every Dispatch Detail
Tracked.
Every Charge
Reconciled.

Dispatch Docket captures your paper dockets, extracts the data automatically, and gives you a live view of every dispatch — from camera snap to reconciled invoice.

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Docket Dash
3 pending
Nexus Textiles
BlueDart · BD-48291
₹1,840
24 kg
Matched
Alpine Exports
DTDC · DT-99103
₹620
8.5 kg
Discrepancy
Sunrise Apparel
Delhivery · DL-30047
₹1,120
15 kg
Matched
Metro Goods Co.
BlueDart · BD-51802
₹2,340
32 kg
Pending
1 discrepancy flagged

From paper chase to a single screen

The old way
Paper dockets stacked in a folder
Courier weights re-keyed by hand
Overcharges noticed weeks later, if at all
Invoice matching done over email
With Dispatch Docket
Photo captured, data extracted in seconds
Weight and amount pulled from the docket image
Discrepancies flagged the moment they're logged
Matched against your ERPNext invoices automatically

Everything a dispatch desk needs

Built around the daily rhythm of outbound logistics — trained on your documents, not a generic extractor.

Know where every docket stands
See every dispatch — captured, matched, or flagged — in one place. Nothing slips through, nothing gets lost in a folder.
Catch courier overcharges
Compare what the courier billed against the docket. Weight gaps and billing discrepancies surface automatically.
Print dispatch labels
Generate shipping labels directly from a captured docket. No re-typing addresses or reference numbers.
Stays in sync with ERPNext
Match dockets against sales invoices pulled live from your ERPNext instance. One source of truth.
Training

Reads your dockets.
Not just any docket.

Every courier and every org has its own docket layout — different field positions, abbreviations, and formats. Dispatch Docket lets your team train the extraction model on your actual documents so it reads them accurately, every time.

Upload sample dockets
Feed in real dockets from the couriers your org uses. The more variety, the better the model learns.
Correct and annotate
When a field is read wrong, fix it in the app. Each correction trains the model on your specific layout.
Improves with every docket
Extraction accuracy compounds over time. New courier formats or label changes are absorbed as you process them.

Live in three steps

Set up once, and the whole dispatch flow moves faster.

01
Upload
Take a photo or upload a scan of the courier docket. Any format — printed receipts, carbon copies, handwritten sheets.
02
Extract
Machine learning reads the docket and fills in customer, courier, docket number, weight, and charges. Review and confirm in seconds.
03
Reconcile
Docket data is matched against your ERPNext invoices. Discrepancies are flagged with exact figures — no hunting through spreadsheets.

Ready to get off the spreadsheet?

Connect your ERPNext instance and start capturing dockets today.

Set up your workspace