Logistics automation that reduces cost-to-serve, accelerates operations, and improves data accuracy

We build secure, enterprise-grade software that automates logistics workflows—document intake, shipment updates, exceptions, billing, and reconciliation—using AI-assisted data extraction and workflow orchestration integrated into your TMS/WMS/ERP stack.

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  Designed for high-volume operations: reliable, auditable, and integration-first.

What we help logistics teams automate

High-impact workflows (where ROI is measurable)

Document-to-data automation

• Ingest logistics documents from email, portals, uploads, SFTP, and APIs

• OCR/AI extraction from PDFs, scans, and multi-page packets

• Classification, splitting, and validation rules (required fields, tolerances, duplicates)

• Human-in-the-loop review for low-confidence fields and exceptions

Shipment execution workflows

• Auto-create or update shipments from documents and messages

• Normalize references (POs, shipment IDs, container numbers, tracking IDs)

• Automated status updates and milestones

• Exception queues for missing/mismatched data with ownership and SLAs

POD and delivery workflows

• POD capture and linkage to shipments, invoices, and disputes

• Automated billing release triggers when evidence is complete

• Claims/disputes workflow support with evidence retention and audit trails

Freight finance operations

• Carrier invoice ingestion and extraction

• Matching to expected charges / rates / accessorials

• Exception handling for disputes, missing POD, duplicates, or mismatches

• Remittance and reconciliation workflows integrated into finance systems

Back-office operations automation

• Customer/carrier communications triage (email classification + routing)

• Operational reporting packs and dashboards

• Vendor onboarding workflows and master-data hygiene support

Why SVLcode for logistics

Built for operational reality: volume, variability, and tight SLAs

Logistics automation only works when it survives daily exceptions, data quality issues, and integrations across systems. We build systems that are:

• Workflow-first: automation is tied to operations, not just extracted fields

• Exception-driven: queues, SLAs, ownership, and escalation are core—not an afterthought

• Integration-first: outputs land in your systems of record (TMS/WMS/ERP)

• Audit-ready: every action is traceable with evidence retention

• Enterprise secure: least privilege access, encryption, monitoring, and governance

• ROI-focused: faster cycle times, fewer manual touches, reduced rework, improved throughput

Typical outcomes

What teams usually improve after rollout

• Reduced manual entry and spreadsheet dependency

• Faster processing per document and fewer “follow-up loops”

• Better SLA adherence through automated routing and prioritization

• Fewer billing delays due to missing or mismatched documentation

• Lower dispute volume with stronger evidence linkage and traceability

• Improved operational visibility: backlog, exception hotspots, cycle times

Integrations

Designed to fit into your logistics stack

We build integration patterns for common logistics systems, including:

• TMS / WMS platforms (via APIs, file feeds, and event-driven patterns)

• ERP and finance systems (for billing, AP, reconciliations)

• Email systems, supplier portals, SFTP, and internal services

• Optional connections to OCR/IDP pipelines and AI services where needed

We prioritize reliability: idempotent sync, retries, dead-letter handling, and clear system-of-record rules.

Our delivery approach

A staged rollout that minimizes disruption

1. Discovery & workflow mapping – identify the highest-cost bottlenecks and exception types

2. Pilot build (MVP) – automate one workflow end-to-end (e.g., BoL/POD intake + updates)

3. Scale & harden – performance, monitoring, security controls, and exception coverage

4. Integrations & rollout – connect to TMS/WMS/ERP and standardize outputs across teams

5. Continuous optimization – improve extraction accuracy and reduce exception rates over time

Technology & architecture

Modern stack built for reliability and scalability

We build with:

• React, TypeScript, Node.js

• AWS, PostgreSQL

• OCR + LLM-assisted components where they materially reduce manual effort (classification, extraction, summaries)

Architecture patterns we use in logistics automation:

• event-driven workflows (queues, retries, DLQs)

• rules engine + human approvals for controlled automation

• evidence retention and immutable audit trails

• multi-tenant and role-based access controls where required

• observability (metrics, alerts, and operational dashboards)

Logistics use cases we commonly start with

Quick wins that unlock broader automation

• Document intake and extraction for shipment creation/updates

• POD capture and billing release automation

• Exception queue + SLA routing engine

• Carrier invoice extraction + matching + dispute workflow support

• Automated customer/carrier email triage and case creation

• Reconciliation workflows that reduce manual finance back-office effort

Who this is for

Great fit if you are:

• A 3PL managing high volume across multiple customers

• A freight forwarder dealing with document-heavy operations

• A carrier modernizing dispatch, POD, and billing flows

• A shipper aiming to reduce operational cost and improve visibility

• A logistics team stuck with email + spreadsheets + manual data entry

  
  

Ready to automate logistics operations with measurable ROI?

Tell us where the bottleneck is—document intake, shipment updates, POD, billing delays, exceptions, or reconciliation. We’ll propose a practical automation plan with scope, milestones, and expected impact.

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