Multi-Tenant Freight Broker TMS Software Development
DFNX is a multi-tenant TMS platform built for freight brokers — covering quote-to-book workflows, full shipment lifecycle, carrier and customer portals, billing, document automation and QuickBooks-grade financial integrations. Fastcurve engineered the platform end-to-end with AI copilots and MCP-driven workflows layered into broker operations.
- Industry
- Transportation & Logistics
- Engagement Model
- Outcome-led product engineering engagement
- Services Engaged
- 8
- Capabilities
- 6
Why this work mattered
DFNX needed a production-grade saas capability engineered for scale, reliability and long-term evolution — not a prototype. The platform had to operate inside real transportation & logistics workflows and meet enterprise expectations on architecture, integrations, security and operational maturity.
How we engaged
Fastcurve embedded a senior-led engineering team across product engineering, devops & cloud operations, api & system integrations and adjacent disciplines, owning architecture, build, integrations and ongoing operations — moving in production-grade increments rather than waterfall handoffs.
What changed in production
Beyond metrics — a platform now operating at enterprise grade with a stable engineering owner, predictable delivery and a clear modernization roadmap.
An engineering-led delivery model — not a hand-off.
Every Fastcurve engagement runs on a consistent delivery spine: discover, lay the platform, ship in increments, then operate and scale.
- Phase 01Discovery & Architecture
Domain deep-dive, current-state assessment, architecture blueprint, success metrics and delivery cadence locked in with stakeholders.
- Phase 02Foundation & Platform
Reference architecture, environments, CI/CD, observability, security baselines and core platform services stood up before feature work.
- Phase 03Iterative Build & Integrate
Modular delivery in short cycles — feature engineering, third-party integrations, AI workflows and migrations shipped in production-grade increments.
- Phase 04Operate, Optimize & Scale
SRE practices, performance tuning, cost optimization, continuous modernization and ongoing capability expansion as the product matures.
What this implementation delivered
- Single codebase serving multiple brokerage tenants
- Finance-grade integrations and document automation
- AI-assisted exception triage and broker operations
How Fastcurve built it
- Multi-tenant architecture
- AI / MCP-driven workflows
- Carrier and customer portals
Engineered across the full stack of transportation & logistics platform needs.
Fastcurve owned the architecture and engineering surface across every capability listed — not isolated modules.
- TMS
- Multi-tenant SaaS
- Quote-to-Book
- Document Automation
- AI Copilots
- QuickBooks
- Product Engineering
- DevOps & Cloud Operations
- API & System Integrations
- AI/ML Services
- QA & Testing
- Web App Development
- Data Analytics & Dashboards
- Dedicated Development Teams
Why Fastcurve was chosen — and stayed embedded.
Senior architects own the platform — not a pool of fungible engineers.
Every increment ships with CI/CD, observability, security and rollback discipline.
Long-running pods that operate as a stable extension of the customer's engineering org.
Reliability, performance and cost engineered in from day one — not bolted on later.
More from the same domain
Planning a similar platform, modernization or AI initiative?
Talk to Fastcurve about applying this implementation pattern to your roadmap.