Reporting & Analytics

Stop Guessing, Start Knowing: AI-Powered Logistics Reporting

Custom-built analytics that fit your actual workflows, not a generic dashboard.

Industry Context

Logistics operations face pressure from rising fuel costs, complex customs regulations, and driver shortages. Manual reporting can't keep up with real-time demands, which leads to delayed decisions and compliance risks. With carriers, brokers, and warehouses using disconnected systems, data stays siloed -- getting a unified view of performance, costs, or delays without heavy manual effort is nearly impossible.

By the Numbers

58%

of logistics firms rely on spreadsheets for analytics

Gartner Supply Chain Survey, 2025

20%

cost reduction from predictive route analytics

McKinsey Transport, 2024

$4.1M

average annual savings from AI-driven logistics analytics

Deloitte AI in Supply Chain, 2025

The Problem

What you're dealing with

Spending hours each week reconciling freight bills, carrier invoices, and internal spreadsheets to track cost per mile.

Missing delivery windows because real-time ETA alerts are buried in email chains or carrier portals.

Can't prove compliance with temperature-controlled shipping regulations due to fragmented sensor data.

Manually pulling data from TMS, WMS, and ERP systems to produce monthly performance reports for leadership.

Losing revenue from detention and demurrage fees because no system flags exceptions early enough to act.

The Solution

How it works

We start by mapping your actual logistics workflows -- not the idealized versions. Through AI-driven interviews with your team, we identify where data lives, how it moves, and where reporting breaks down. Then we design a custom system that connects your existing tools (TMS, WMS, carrier APIs) and applies business logic specific to your operations. Our proprietary platform automates data ingestion, validation, and transformation, so you get clean, structured inputs without manual effort. We build dashboards and alerts that surface what matters: cost outliers, delivery risks, compliance gaps. You get a working system deployed in your environment, with ongoing support as your needs change.

Arc

Automates data integration from your existing systems and applies business logic for unified reporting.

Wand

Generates dashboards and real-time alerts based on your specific operational metrics and thresholds.

In Practice

Before and after

Before

Each Monday, an analyst spends 6 hours manually downloading CSV reports from 3 carrier portals, reconciling them against internal freight data in Excel, and emailing a summary to the operations team -- often with errors or delays.

After

We built a custom system that pulls data from carrier APIs and internal systems every hour, validates discrepancies, and flags cost overruns or delays in a live dashboard. The operations team gets SMS alerts for critical exceptions, and leadership receives a weekly performance report with no manual work.

1 Automated ingestion of carrier, TMS, and ERP data via API integrations
2 Validation rules applied to detect invoice mismatches and ETA deviations
3 Custom dashboard built for real-time visibility into cost per lane and on-time performance
4 SMS and email alerts configured for detention events and temperature excursions

6 weeks

Average time to deployment

From discovery to working system for logistics reporting clients

FAQ

Common questions

How is this different from buying a logistics analytics SaaS?

SaaS tools force you to adapt to their predefined models. We build around your specific workflows, systems, and business rules -- so you get exactly what you need, not what a vendor thinks you need.

What if our data is messy or spread across outdated systems?

That's what we do. Our process includes mapping and validating your actual data sources, no matter how fragmented they are.

How long until we see usable results?

We typically deliver a working prototype in 3 weeks, with full deployment in 6-8 weeks. Speed comes from our internal tooling, not shortcuts.

Do we need to hire data scientists or IT staff to maintain this?

No. We handle deployment and training, and provide ongoing support. You get a turnkey system managed by our team.

What about security and compliance?

We build in your environment -- your data stays yours. We follow industry standards for data encryption, access controls, and audit trails, and can work with specific requirements like GDPR or CCPA.