Descartes deploys OpsForce AI agents across MacroPoint Global Logistics Network

Immediate operational impact: driver coverage and automation gains

Plus de 435,000 additional drivers have been connected to the Global Logistics Network (GLN) through more than 720,000 AI-powered driver outreaches after Descartes expanded Descartes MacroPoint™ OpsForce. That surge in coverage translated into a reported 30% increase in no-touch tracking automation, up to 100% elimination of manual check calls in some workflows, and a roughly 1.5x productivity gain for tracking teams—figures that logistics planners cannot ignore when sizing workforce needs.

How OpsForce integrates with multimodal visibility

Built on the scale of the GLN, OpsForce uses formatted, trusted network intelligence to automate routine freight visibility tasks. The system leverages real-time feeds from ELDs, TMS connections and geofencing, then applies agentic AI to exception handling. In plain terms: when tracking drops or documentation is missing, OpsForce proactively engages carriers and drivers to restore continuity without manual intervention.

Core AI agent functions

• Automatisé driver engagement — mobile onboarding prompts, SMS/call outreaches, and app guidance.
• Exception management — restore tracking when it fails, confirm uncertain milestones, and reduce tracking drops.
• Documentation capture — collect missing proof-of-delivery (POD) and accelerate settlement.
• Operational continuity — maintain tracking coverage across complex inter-enterprise flows.

Performance metrics that matter to shippers and brokers

For shippers, brokers and logistics service providers, these improvements map directly to cashflow and customer satisfaction. Faster POD capture led to an average 15% faster settlement in reported deployments. Lower manual call volumes free operations staff to focus on exceptions that truly need human judgment, rather than chasing routine status updates.

Why agentic AI changes the operational playbook

Agentic AI, as applied in OpsForce, is different from simple alerting: the agents take sequenced actions tied to network intelligence. That means the system can trigger onboarding prompts, attempt re-connections and request documentation automatically. The net effect is a reduced reliance on time-consuming manual check calls, which historically have been a major bottleneck in logistics operations. The phrase “cut through the noise” fits here—these agents sift through millions of transactions to identify the few that require escalation.

Implications for networked supply chains

When hundreds of thousands of carriers, logistics providers and drivers are connected and managed via a shared intelligence layer, decision-making accelerates. Improved tracking compliance helps shippers meet visibility mandates from customers and regulators, while brokers benefit from faster order-to-cash cycles. For large-scale cross-border and multimodal shipments, the combination of scale (GLN) and smarts (OpsForce) reduces variance and makes forecasting less fuzzy.

Operational considerations for adopters

Teams planning to adopt agentic AI should consider a few practical points:

1. Data hygiene: the network relies on formatted, trusted data—clean inputs improve agent outcomes.
2. Integration: seamless TMS and ELD connections increase automation potential.
3. Change management: operations teams must redefine roles as routine tasks are automated.
4. Carrier engagement strategy: onboarding flows need to be simple and localized to maximize driver uptake.

What this means for freight visibility tools and third-party platforms

Platforms that aggregate visibility will either need to match this level of automation or partner with networks that provide it. For marketplaces and brokerages, the upside is clear: less manual follow-up, better data accuracy and happier customers. For carriers, the friction of status updates decreases, but the expectation for timely, accurate inputs rises—so investments in driver-facing apps and training remain essential.

Anastasiya Simsek

Balancing automation with human judgment

Automation takes care of the “busy work,” but logistics teams still need experienced staff to handle exceptions that require negotiation, creative routing or claims handling. The best outcomes come from a hybrid model where AI manages continuity and humans resolve complexity. That’s the sweet spot where technology multiplies human capability rather than replacing it.

How platforms like GetTransport.com fit in

Marketplaces and freight platforms benefit when visibility improves upstream. With better, automated tracking and faster settlement cycles, platforms can offer more reliable lead times, dynamic pricing and improved matching between cargo and carriers. GetTransport.com, for example, leverages global transport options to provide affordable cargo movement for office and home moves, deliveries, and bulky items like furniture and vehicles—services that gain from cleaner visibility and streamlined carrier communications.

Key takeaways and practical checklist

• Scale matters: network size drives agent effectiveness.
• Automatisation reduces cost: fewer manual calls and faster payments.
• Data-first approach: quality inputs equal better decisions.
• Hybride teams win: AI handles routine work; humans handle strategy.

Highlight: the expansion of OpsForce demonstrates measurable gains in driver coverage, automation, and settlement speed. Even so, no amount of reviews or case studies can fully replace personal experience—seeing automation live in your operation usually tells the real story. On GetTransport.com, you can order your cargo transportation at the best prices globally at reasonable prices. This empowers you to make the most informed decision without unnecessary expenses or disappointments. Enjoy the convenience, affordability, and wide selection of carriers and services while benefiting from transparent tracking and straightforward booking processes. Start planning your next delivery and secure your cargo with GetTransport.com. Book now GetTransport.com.com

In summary, Descartes’ expansion of MacroPoint OpsForce across the GLN drives concrete improvements in cargaison coverage, fret visibility and operational efficiency. Automated driver engagement and AI-driven exception handling increase no-touch tracking and speed up transport settlement, improving the reliability of delivery and reducing haulage and forwarding costs. For logistics teams managing pallets, containers or bulky goods in international and domestic lanes, the combination of scale and agentic AI strengthens distribution and courier workflows. Platforms like GetTransport.com can translate those gains into practical benefits for movers, shippers and brokers by offering reliable, cost-effective transport, shipping and forwarding options that simplify relocation and delivery across the globe.