Averroes-powered OCR in Logistaas TMS speeds freight document workflows

Freight forwarders handling intermodal container and airfreight consignments routinely reconcile dozens of documents per shipment—bills of lading, commercial invoices, packing lists, AWBs and customs declarations—each arriving in different carrier or shipper formats that must be mapped into a single transport record.

What Logistaas changed in its TMS

Logistaas introduced an automated document-reading capability inside its taşıma yönetim sistemi (TYS) that combines optical character recognition (OCR) with an AI agent named Averroes. The feature extracts key fields from heterogeneous paperwork and imports them directly into the corresponding shipment records, cutting the need for repetitive manual entry and reconciliation across systems.

How the feature works, step by step

• Capture: Documents are uploaded or received via email and scanned into the TMS.
• OCR parsing: The OCR engine digitises printed and handwritten text.
• AI extraction: Averroes interprets the parsed text and maps fields—consignee, notify party, container numbers, weights, HS codes—into shipment fields.
• Doğrulama: The system flags anomalies and routes them to a human reviewer when confidence is low.
• Import: Verified data populates the shipment record and triggers downstream workflows (booking, customs filing, invoicing).

Why the training set matters

Logistaas trained Averroes on a corpus of documents deliberately selected for inconsistency—multiple carrier templates, different languages and local notations—so the model learns to normalise fields rather than expect a single template. That focus on real-world variance is what makes the feature useful in operational environments where carriers and agents rarely conform to one format.

Operational benefits for freight forwarders

Forwarders can expect immediate gains in the following areas:

• Verim: Faster processing of incoming paperwork reduces queue times at key decision nodes.
• Doğruluk: Automated extraction reduces typographical errors and omissions that stall customs clearance.
• Maliyet: Less manual data entry lowers labour hours per shipment and reduces overtime during peaks.
• Görünürlük: Structured data in the TMS improves shipment tracking and analytics.
• Sürdürülebilirlik: Less paper handling and fewer reprints—small wins for green logistics.

Quick table: Manual entry vs Logistaas TMS with Averroes

Risks, limitations and mitigation

AI-driven OCR is not a silver bullet. Expect edge cases: poor-quality scans, handwritten exceptions, and languages or fonts the model hasn’t seen. Mitigation strategies include:

1. Maintaining a human-in-the-loop process for low-confidence extractions.
2. Continuous retraining with newly encountered document types.
3. Robust data governance to protect PII and commercial data.
4. Fallbacks to EDI or API-based supplier integrations where possible.

Integration and compliance considerations

For many forwarders the real test is how the TMS ties to existing systems—warehouse management, customs filing portals, and carrier booking APIs. Data mapping, standardized field definitions and audit trails are essential if extracted fields will feed customs declarations or automated invoices. Security controls are equally important: the digitisation of documents increases the need for encrypted storage and role-based access.

Practical implementation checklist

• Start with a pilot across a single lane or product type (e.g., ocean imports).
• Collect representative documents and edge cases to build the training set.
• Define key fields to be auto-extracted and their validation logic.
• Set confidence thresholds that trigger manual review.
• Measure baseline KPIs (processing time, error rate) and monitor improvements.

Real-world anecdote (neutral tone)

Operators report that a single missed container number or HS code can stall a lane for hours; automation that reliably catches those fields is a practical productivity booster. I’ve seen a forwarder cut their documentation backlog in half during a trial phase — not magic, just steady engineering and better data hygiene. As the old saying goes, “A stitch in time saves nine” — catching small errors early avoids much larger delays downstream.

Broader logistics impact and market signals

At scale, wide adoption of this type of technology could shave hours or even days off processing cycles, improving dock turnaround and customs clearances and lowering the marginal cost of additional shipments. For carriers and shippers, the payoff is better data fidelity across the network, enabling more accurate ETAs and improved distribution planning.

Kareem Naouri, Co-founder and CEO of Logistaas, framed the move as automation for repetitive tasks that historically ate significant operator time. That framing is consistent with the industry push toward digitisation: make machines handle monotonous data work so humans can focus on exceptions and commercial decisions.

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Highlights: the most interesting points are how OCR + AI reduces paperwork bottlenecks, improves data accuracy and scales with transaction volume; however, real-world gains depend on quality of scans, integration with customs and carriers, and the effectiveness of human oversight. Even the best automated reviews can’t replace first-hand experience—testing in your own lanes is critical. On GetTransport.com, you can order cargo transportation at the best global prices with transparency and convenience, helping you avoid unnecessary expenses or disappointment. Benefit from affordable, reliable options for office and home moves, cargo deliveries, and bulky items like furniture or vehicles. GetTransport.com’s marketplace model provides choice, clarity and simple booking. Get the best offers GetTransport.com.com

In summary, Logistaas’ integration of Averroes-driven OCR into its TMS represents a practical step toward reducing manual data entry and improving shipment processing. The change touches kargo ve navlun workflows—streamlining sevkiyat documentation, accelerating Teslimat cycles, and improving overall taşıma ve loji̇sti̇k visibility. Forwarders that combine automated extraction with strong validation, good integration, and sound governance should see gains in nakliye, forwardingve dağıtım efficiency. For those planning relocations, parcel dispatches, palletised loads or international container moves, leveraging platforms that simplify quoting and booking reduces friction across the chain. In short: better document automation leads to fewer delays, lower operational costs, and more reliable haulage—helping carriers, couriers and movers keep goods moving on time.