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intelligence and Automation

Turn your logistics data into operational performance

Most logistics operations generate more data than they can act on. Our data scientists and analysts work with carriers and shippers to find where performance and costs diverge, and build the models standard tools aren't designed for.

TYPICAL ASSIGNMENTS

We provide logistics operators with intelligence and automation

Identify operational waste and potential

We work with your operational data to surface the patterns behind performance gaps and cost accumulation, for example:

  • On-time and cost-per-delivery variances across carriers, hubs and service types
  • Route timing deviations and delays in execution
  • Under or over estimation of traffic and task time
  • Capacity under-utilization and planning accuracy gaps

Quantify the impact of operational changes

We build scenario analyses and simulations across network design, fleet mix, depot placement, and service-level trade-offs,  answering questions like:

  • What's the cost-benefit of widening delivery windows by 30 minutes?
  • How does an electric fleet compare to diesel on total cost over five years?
  • What's the cost impact of 20% volume growth in the capital region?
  • What would we save by changing our route-planning rules?
  • What's the impact of consolidating two depots into one?

Build models around your specific constraints

When standard tools don't reflect how your operation runs, we build ones that do. For example:

  • Custom optimization logic for cost, service quality and service offer
  • Predictive models for service deviations, task time allocation and traffic
  • Driver assignment and scheduling that respect route complexity and carrier contracts
  • Forecasting models for fleet, personnel and demand planning

Organize and make your data available

We structure operational data into clean, consistent models your BI tools, AI agents, and downstream platforms can use, for example:

  • A single source of truth across your logistics operation
  • Consistent definitions for performance metrics
  • Data foundations that support AI agents and automated decision making
  • Automated data extractions and reporting pipelines.
why customers work with us
"Our customers are on construction sites, and their time is tight. Mover's transparency and automated updates cut down on the 'where's my delivery' calls significantly, and it's made SLA compliance and our ESG reporting far easier to manage. We've been with Mover since 2016 and haven't looked back."
Esben Jansen
VP Operations, Solar Danmark
"We're a flower company, not a logistics company. Mover didn't just give us software - they brought logistics expertise that complemented our own team."
Allan Thy Christensen
Head of Nordic Logistics and Network, Interflora
"It used to be a messy operation. Now everything is sequenced, and the dock runs the way a production line should."
Asbjørn Hansen
Site Manager, Brød Cooperativet
"I would say Mover's TMS has been instrumental in driving customer satisfaction and cost reductions in our operations."
Lars Rasmussen
Commercial Director, Coop

Frequently asked questions

What kind of work does a typical engagement involve?

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Do we need to be a Mover platform customer to work with you?

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How is this different from working with a management consultancy?

Consultancies deliver recommendations and move on. Our analysts work inside the same platform managing your routes and operations, so findings connect directly to how you plan, dispatch, and execute.

What happens to the models and analysis after the engagement ends?

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Can you work with data from systems other than Mover?

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What size of operation do you typically work with?

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See Mover in Action

Ready to take control of your distribution?

Talk to our team and see how Mover connects planning, dispatch, drivers and data in one platform – built around how your operation actually runs.