Software development and AI pod teams for logistics

Ryz staffs senior Latin American engineers and dedicated AI pod teams for carriers, 3PLs, freight brokers, fleets and shippers. Our teams build and integrate TMS, WMS, EDI, visibility and telematics systems, and our pods have shipped a driver-support agent and fraud detection for a global fleet company to production. They work on US business hours, the same hours your dispatchers, drivers and customers are working.

What we build for logistics teams

Logistics software has to work with partners you don't control: carriers on decades-old EDI, shippers with their own ERP, drivers with patchy coverage. Our engineers build:

• Transportation management. Load planning, tendering, carrier selection, rating and freight audit, either custom or extending Oracle OTM, Blue Yonder, MercuryGate or e2open.
• Warehouse management. Receiving, slotting, wave and batch picking, cycle counts and labor tracking, plus integrations with Manhattan Associates, Blue Yonder, SAP EWM or Körber.
• EDI and partner integration. Trading partner onboarding, X12 and EDIFACT mapping, API alternatives to EDI and monitoring that catches a missed 214 before a customer calls.
• Visibility and tracking. Shipment status pipelines from ELDs, carrier APIs and platforms such as project44 or FourKites, with ETA prediction and exception alerts.
• Fleet and driver apps. Mobile apps for proof of delivery, document capture, messaging and settlements that work offline.
• Brokerage platforms. Load boards, carrier onboarding and vetting, rate confirmation and track-and-trace workflows.
• Customer portals and APIs. Quoting, booking, tracking and document retrieval for shippers, built on APIs your largest customers can integrate directly.

Where AI pods help in logistics

Logistics generates heavy call volume, paperwork and exceptions, which is where production AI pays for itself. An AI pod builds these systems in your cloud:

• Driver and carrier support agents. Answering load status, detention, settlement and document questions by phone and chat in several languages, with handoff to a dispatcher. One of our pods built a driver-support agent that covers about 218,000 driver calls a year in three languages, with roughly a 95% reduction in cost per call. See AI voice agent development.
• Fraud detection. Catching fraudulent charges, identity theft and double brokering by scoring documents and partner behavior. Our pod that built fraud detection for a global fleet company scores each item in under 30 seconds and has surfaced $5.94M in fraud confirmed by the client's own fraud team. See our case studies.
• Document intake. Extracting data from bills of lading, rate confirmations, proof-of-delivery photos and customs documents, including handwritten notes and poor scans, and routing low-confidence fields to staff.
• Email and order intake. Turning quote requests and load tenders that arrive by email into structured orders in the TMS, with a human approving anything ambiguous.
• Exception triage. Predicting late deliveries from tracking data and drafting the customer update, so operators handle the shipments that need them.

Regulations and constraints our engineers work within

Our engineers have experience building within these rules, alongside your safety, compliance and legal teams. Ryz does not certify systems or give regulatory advice.

• FMCSA ELD and hours of service. The electronic logging device rule and hours-of-service limits under 49 CFR Part 395, which shape driver apps, dispatch logic and data retention.
• FMCSA carrier and broker registration. Operating authority, insurance filings and broker requirements that carrier vetting tools check.
• Hazardous materials. DOT and PHMSA hazmat regulations (49 CFR Parts 171 to 180) for shipping papers and placarding data, and IATA rules for air.
• Customs and trade. CBP filings through ACE, Importer Security Filing (10+2) for ocean imports, and C-TPAT supply chain security expectations.
• FSMA Section 204 food traceability. FDA's rule requiring key data elements for listed foods, with a compliance date extended to July 2028.
• Driver and worker privacy. CCPA/CPRA, GDPR for European operations, and biometric laws such as Illinois BIPA for in-cab cameras and facial data.
• PCI DSS and SOC 2. Card payments in customer portals, and the security controls enterprise shippers expect from logistics software vendors.

Integrations and data

• X12 EDI: 204 load tender, 990 response, 214 status, 210 freight billing, 856 advance ship notice, and 940/945 warehouse transactions, plus EDIFACT for international partners.
• Telematics and ELD platforms such as Samsara, Motive and Geotab.
• Visibility platforms such as project44 and FourKites, and load boards such as DAT and Truckstop.
• ERP systems including SAP S/4HANA, Oracle and NetSuite, and the order and inventory data that flows from them.
• Mapping, routing and geospatial services, and streaming pipelines on Kafka into Snowflake or BigQuery.

Partner variation causes most logistics integration bugs. Two carriers can send the same 214 status code meaning different things, and a shipper may change its 856 layout without notice. Our engineers build per-partner mapping layers, validation that rejects bad files with clear errors, and dashboards that show which partners are late or failing, so operations knows before a customer does.

How teams engage Ryz

Staff augmentation fits when your platform team needs more senior engineers: an integration engineer for EDI onboarding, a backend engineer on the TMS, a mobile engineer for the driver app. They work on your team, in your repos and standups. Our logistics software developers page covers individual roles.

An AI pod fits when you want a driver-support agent, document intake or fraud detection built and in production. A pod is often around seven senior engineers including a tech lead, ML engineer and backend engineers. A dedicated development team fits a scoped build such as a carrier portal or a legacy TMS modernization.

Mid-level engineers run $7,000 to $10,000 per month, senior engineers $10,000 to $15,000 and leads $15,000 and up. Three senior engineers and a mid-level engineer for six months, at $12,000 and $8,500, is $267,000. You get a plan, a price and the names of the people before you start.

When Ryz isn't the right fit

• You want a licensed TMS, WMS or visibility platform. Ryz teams build and integrate systems with you; we do not sell software.
• You need follow-the-sun support across Europe and Asia for global operations.
• You want supply chain network strategy or an operations consulting engagement. A management consultancy fits that.

Related

• Best fraud detection engineering teams
• Retail and ecommerce software development
• Manufacturing software development
• AI agent development
• API development

FAQ

Do your engineers know EDI?

Yes. Our engineers have built and maintained X12 and EDIFACT maps, onboarded trading partners, and worked with VANs, AS2 connections and translation tools, as well as API replacements for EDI flows.

How do your engineers handle driver, shipment and customer data?

They work in your environment and under your controls: your cloud, identity provider, device policies and data access approvals. Your security team decides what location, driver and customer data they can reach. Ryz does not hold certifications on your behalf.

Can an AI pod build a driver-support voice agent?

Yes. One of our pods built a driver-support agent that covers about 218,000 driver calls a year in three languages. The pod integrates with your TMS, telephony and dispatch tools and sets clear handoff rules to people.

What does a logistics engineering team cost?

Typical rates are $7,000 to $15,000 per engineer per month by seniority, with leads at $15,000 and up. Project cost is team size times duration times rate, quoted per team.

Can your engineers support US operating hours?

Yes. They work on US business hours, with real-time overlap with your dispatch, operations and customer teams.

Questions we didn't answer? Email info@ryzlabs.com.