15,000+ pallet UAE 3PL goes RFID — accuracy from 89% to 99.5%.
How a multi-customer UAE warehouse replaced manual cycle counts and barcoding with a six-module WMS and a full Zebra RFID stack.
Overview
A UAE-based 3PL ran a 15,000+ pallet multi-customer warehouse on manual processes and legacy barcoding. Cycle counts stretched to 5 days, stock discrepancies were frequent, pallet location was slow, putaway was ad-hoc, outbound was delayed, and customers had zero real-time visibility into their inventory. Sanadi deployed a purpose-built WMS integrated with a Zebra RFID stack and a self-serve customer portal.
Brief summary
The case study at a glance
A quick read distilled from the full 15-page case study — the problem, what Sanadi delivered and the outcomes that mattered.
15,000+ pallet UAE 3PL warehouse moved from manual cycle counts, legacy barcoding and paper coordination to a six-module WMS tightly integrated with a Zebra RFID stack.
Inbound (ASN/GRN), rule-based putaway, inventory with batch/expiry, RFID-validated outbound, contract management and rules-driven 3PL billing — all on one platform.
Hardware: Zebra fixed RFID readers at dock doors and key zones, Zebra RFID handhelds for staff, durable passive pallet and shelf tags — bridged into the WMS via a middleware normalization layer.
Customers get a self-serve portal with live inventory, eliminating status calls and manual reports; billing is event-driven (storage, handling, pallet, CBM).
Outcomes: inventory accuracy 89% → 99.5%, full stock counts 5 days → 6 hours, putaway 15 → 4 minutes per pallet, picking accuracy 92% → 99.8%, real-time inventory visibility across the operation.
Business challenges
What the customer was facing before Sanadi.
Manual cycle counts
5-day full counts blocked operations and produced stale inventory snapshots.
Stock discrepancies
Inventory accuracy stuck at ~89% — frequent mismatches between system and floor.
Slow pallet location
Aisle-by-aisle search wasted operator hours on every pick and putaway.
Ad-hoc putaway
No rule-driven slotting — randomized placement degraded picking speed.
Delayed outbound
Order release relied on manual coordination across teams.
Zero customer visibility
Customers had no live view of stock and depended on email for updates.
Scope of implementation
What Sanadi delivered.
Contract Management
Customer master, SLAs, storage rates, value-added service pricing.
Inbound & Receiving
ASN handling, RFID-driven receiving at dock doors, quality holds.
Putaway
Rule-based slotting using velocity, weight, and customer zoning.
Inventory Management
Pallet- and shelf-level RFID, real-time stock ledger, cycle counts.
Outbound & Dispatch
Wave planning, pick/pack/ship with RFID verification at exit.
Billing
Automated 3PL billing — storage, handling, VAS — tied to actual movements.
Solution delivered
Six-module WMS
Single platform spanning the full warehouse lifecycle for multi-customer ops.
Zebra RFID stack
Fixed readers at dock doors, handhelds across aisles, pallet and shelf tags.
RFID middleware layer
Bridged tag reads to WMS events — reliable, deduplicated, real-time.
Customer self-serve portal
Live stock, order tracking, and reporting per customer tenant.
Measured results
Inventory accuracy 89% → 99.5%
Continuous RFID-driven counts eliminated drift between system and floor.
Cycle counts 5 days → 6 hours
Full warehouse counts now happen during a single shift.
Putaway 15 → 4 minutes per pallet
Rule-based slotting plus RFID location cut handling time by ~73%.
Picking accuracy 99.8%
RFID verification on pick and pack virtually eliminated misships.
Stack & integrations
Outcome
RFID converted the 3PL from a reactive, paper-driven warehouse into a real-time operation — customers now self-serve live inventory, billing is event-driven, and inventory accuracy is the highest in the operator's history.
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