Logistics has never moved faster. Or been under more pressure.
eCommerce growth, expanding SKUs and tighter SLAs are putting logistics under pressure alongside labor shortages, cost demands, cybersecurity risks and global instability. Leaders now need AI and automation strategies that work both in the boardroom and on the warehouse floor, right away.
The shift is already happening. 82% of CEOs see AI as a competitive differentiator, and 88% plan to increase AI spending. The focus is no longer starting, it’s scaling with trusted data and avoiding patchwork solutions.
The path forward is clear: enhance frontline performance, automate to boost throughput, and use software-driven intelligence to power the entire network.
Augment performance
Move from fragmented operations to unified intelligence. Integrate data sources, standardize KPIs and use AI-powered platforms to turn real-time insight into action at the point of work.
Automate to accelerate
Strategic automation that plugs into existing workflows, layering digital intelligence over the human intelligence your operations rely on every day, to manage demand surges and reduce error.
Activate for growth
Software-driven intelligence that connects devices, workers and data into a single layer for predictive, real-time control of the warehouse and logistics environment.
Why most logistics transformations stall before they scale
Most strategy leaders aren’t short on ambition or budget. They’re caught on the same four frictions.
Promising proofs-of-concept that never make it across the network, so transformation reads as activity rather than progress. 40% of agentic AI projects will be cancelled by the end of 2027, on escalating costs, unclear value or weak controls (Gartner, 2025).
Multiple software systems, each holding its own structured, unstructured and contextual data, with no complete picture. AI is only as good as the data feeding it, and 45% of organisations cite data accuracy or bias as a barrier to adoption (IBM, 2025).
Task-oriented, labor-intensive processes that make it hard to handle exceptions and harder still to scale when labor is scarce.
63% of CEOs say their boards now demand measurable AI-driven results (Honeywell, The Future of Logistics, 2025), so every pilot is judged against the next quarter while change still needs funding.
None of this is a reason to slow down. It’s a reason to sequence differently.
The hidden cost isn’t a failed pilot. It’s the compounding gap between board-level AI ambition and what the network can absorb, while competitors move on automation and real-time visibility. The fix however isn’t a bigger bet on one technology. Of 25 attributes tested, the redesign of workflows has the single biggest effect on the EBIT impact organisations see from AI (McKinsey, 2025). Improve the process, build on proven models, then layer intelligence into the workflows your people already run. That’s where transformation stops stalling and starts scaling.
Put data at the heart of logistics, then let AI do its job
The shift underway in logistics is from disparate systems and manual, paper-based workflows to a single intelligent layer. Honeywell connects automation channels, devices and data into that layer, enabling predictive, real-time control of the warehouse and logistics environment. Multi-modal capture, barcodes, RFID and machine vision through SwiftDecoder™, means workers go beyond barcodes to identify and track goods on appearance or label, gathering more data at more touchpoints. Processing power sits in employees’ hands where the action happens. Rugged devices like the CT47, built on the Mobility Edge™ platform, combine the power and form factor of a modern device with the durability logistics demands, while Honeywell Voice directs associates hands-free and eyes-up. Paired together, Operational Intelligence and Workforce Intelligence give a total, predictive view of the people who make logistics happen and the technology they rely on every day.
Key benefits:
- Decisions that used to wait for head-office analysis happen in real time, at the dock, the aisle and the last mile.
- A data foundation clean enough for AI, so models deliver insight rather than amplify error.
- Human-centered adoption, technology that augments associates and accelerates onboarding for high-turnover and temporary labor.
- A connected suite, SwiftDecoder™, Honeywell Voice, Workforce Intelligence and Operational Intelligence, not point solutions that create new silos.
Better data. Faster decisions. Fewer silos. A frontline that adopts it.
Digitalization and visibility -Move the whole network, not another pilot.
- End-to-end visibility from inside the four walls to the final mile.
- One intelligent layer instead of automation islands.
- A roadmap that’s sequenceable and fundable.
Workforce and frontline - Augment the people who move the goods.
- Eyes-up, hands-free voice-guided work.
- Routine tasks automated so staff focus on exceptions.
- Faster, simpler onboarding for high-turnover and temporary teams
Cost and resilience - A business case the board can defend.
- 60,000 fewer unplanned vehicle repairs a year (Honeywell PSS, Successful Solution Deployment in Transportation, Logistics, and Warehousing, 2025)
- 50–100 minutes of productivity reclaimed for every prevented mobile-workflow failure (Honeywell, Smart Moves: A Playbook for Augmenting, Automating, and Activating Logistics Operations, 2025).
- Predictive device management with Operational Intelligence that cuts downtime and replacement cost.
Resources
A roadmap to build your logistics strategy in the AI era
What your peers’ boards are actually demanding of AI, the pitfalls that sink logistics deployments, and a six-step framework to adopt it without becoming a cancelled project.
Three imperatives for growth-oriented 3PLs, with the marginal-gains path from fragmented operations to unified, real-time intelligence.
Named outcomes across freight forwarding, fleet M&I, maritime, parcel and cross-border logistics, the proof that the model works at network scale.
How a multi-modal freight forwarder standardized 15,000+ units across air, land and sea for one source of truth and lower costs.
