From warehouse systems to transport platforms and partner APIs: keep goods moving with resilient, secure software foundations.
Trusted by:
Protect operations across your extended logistics ecosystem
As logistics operations become more connected, cyber risk increasingly affects physical flow, not just IT. Make weak points across internal systems, third-party platforms, and operational environments visible earlier so you can reduce disruption and recover faster.
Logistics leaders are being pushed toward real-time visibility and faster, machine-assisted decisions. Gain control across planning, warehouse, transport, and partner systems so teams can act on one shared view instead of disconnected signals.
Replace fragmented views with operational transparency
Move from pilots to reliable operational use
AI is now central to logistics agendas, but most organisations are still piloting rather than scaling. Strengthen the software and data foundations behind routing, forecasting, warehouse automation, and decision support so AI improves performance without increasing operational risk.
Improve reliability across warehouse and transport operations
When critical logistics systems fail, service levels, labor productivity, and customer commitments all suffer. Identify fragile software, weak integrations, and change hotspots early so you can reduce software-induced disruption across the network.
Connect WMS, TMS, ERP, and partner platforms as one system
Many logistics organisations still run on layered, hard-to-change system landscapes. Gain portfolio-level insight into dependencies and software quality so you can build a scalable digital backbone without creating more complexity.
Simulate routes, warehouses, and distribution before you change them
Digital twins are moving from concept to practical logistics use, especially in route planning, warehouse operations, and distribution strategy. Build the software foundation to model scenarios, improve decisions, and increase resilience before disruption hits live operations.
Uncover inefficiencies and identify risks in IT portfolios
Align critical systems with your business objectives
Bring quality, security, and control to your AI-assisted code
Empower a scalable AI transformation
Monitor and improve your entire software landscape in real time with Sigrid®—combining deep source-code analysis, AI-integrated insights via MCP, and benchmarking against global standards.
“Now, users can be even more confident that our optimizations will genuinely provide them with the best results.”
Director of Product & Technology
“First our developers were skeptical about SIG. They were afraid of meddling and undermining their autonomy, but after several sessions they felt helped and became more interested. They experienced their software became better. The adversarial sessions were very important in this. Now they are actively pursuing software quality.”
Project Manager,
“We recommend that you continue to monitor the quality of the software on an ongoing basis, even in the post-merger integration process, to ensure you’re integrated into their processes and to ensure that they will have a well structured and well maintainable code base.”
Managing Director
