RFID warehouse processing 16,800 barrels per hour at 99.7% dispatch accuracy
A flagship deployment that took dispatch errors from 8–10% to under 0.3%: and turned a 5-hour shift-end reconciliation into a 20-minute exception review.
Outcomes
16,800
barrels / hour
Sustained throughput
90%
reduction
In dispatch errors
99.7%
accuracy
Outbound manifest match
< 9
months
Payback period
4×
faster
Shift-end reconciliation
The challenge
- Dispatch errors running at 8–10% of outbound shipments — ~1 in 10 trucks left with a discrepancy.
- 5–6 hours of daily shift-end reconciliation, two staff full-time.
- Returns sat unrecorded for 24–48 hours before appearing in SAP.
- Zero visibility into which specific barrels were in which zone — FIFO dispatch impossible.
What we built
- Passive UHF RFID at every dock, intra-plant aisle and outbound gate.
- Forklift-mounted readers paired with rugged Samsung Galaxy XCover handhelds.
- Custom edge deduplication engine reducing 50+ raw reads per barrel into a single canonical movement event.
- Real-time SAP S/4HANA integration with IDoc-based goods-issue and goods-receipt postings, 15-minute reconciliation cadence.
- Operator UI in regional languages with one-click exception reporting.
The shop floor we walked into
Fourteen clipboards. That was the count on day one. Fourteen versions of the same inventory truth, each maintained by a different operator across the warehouse. The shift supervisor’s master register contradicted the forklift driver’s log, which contradicted the dispatch gate’s tally sheet. Nobody was lying — they were all working with data that was already stale by the time it was written down.
For a high-velocity paint manufacturing facility shipping thousands of barrels a day, the cost of that staleness was 8–10% dispatch errors, 5–6 hours of nightly reconciliation, and a customer-claims trend the COO refused to accept as the new normal.
What we built
A four-layer RFID stack designed to survive the realities of an Indian paint warehouse — oil, dust, metallic racking, forklift traffic and shift changes.
Why standard RFID would have failed
A naive deployment of off-the-shelf readers and middleware would have drowned SAP under tens of millions of raw read events within the first week. The breakthrough was the edge deduplication engine — reducing the firehose of reads into a settled stream of business-meaningful movements before anything hit the ERP.
What changed for operations
Within six months of go-live, dispatch errors fell by 90%. The two-person nightly reconciliation team was redeployed to value-adding work. Customer chargebacks dropped sharply. The COO got an answer to the question that had been bothering him for years: “Where, exactly, is barrel batch number X right now?”
Tech stack
- • Impinj fixed readers
- • Zebra forklift readers
- • Samsung Galaxy XCover7 handhelds
- • Custom edge dedup engine
- • SAP S/4HANA (IDoc/BAPI)
Timeline
14 weeks pilot to full warehouse rollout. 6-week hyper-care window.
Related field guides
RFID & Industrial Traceability
RFID & Industrial Traceability in India: The 2026 Field Guide
A practitioner’s field guide to industrial RFID in India — frequencies, tags, readers, software architecture, and the patterns that survived 100M+ tag reads.
RFID & Industrial Traceability
RFID ROI Calculation: The Honest Spreadsheet
The exact line items we use when we model an RFID business case for a customer. Numbers are realistic for a 5,000-items-per-day warehouse.
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