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Case studyCargo & logistics

One real-time view across freight, transport, and finance

ISA Logistics ran a freight, transport, and CFS business on manual MIS and disconnected systems. Shipment tracking ate hours, finance re-keyed numbers Tally already held, and leadership waited on hand-built reports. FireAI put 13 role-based dashboards on top of the systems ISA already ran.

60–70%
less manual effort
98%+
data accuracy
13
role-based dashboards
Hours → minutes
to track a shipment

Trusted by 200+ orgs to boost business insights.

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The short version

ISA Logistics, an Indian freight, transport, and CFS operator (200+ employees, 90+ trucks, a 100-acre CFS facility), used FireAI to replace manual MIS with 13 role-based dashboards, Tally integration, and OCR automation. Manual effort fell 60 to 70%, shipment tracking dropped from hours to minutes, and data accuracy rose above 98%, without disrupting the systems ISA already ran.

The challenge

As volumes grew, manual reporting became the bottleneck

ISA Logistics moves freight by sea and air, runs its own transport fleet, and operates a 100-acre container freight station. As volumes grew, the reporting that held it together stayed manual: shipment status was tracked by hand, and freight, transport, and finance each worked from their own numbers.

Revenue and profitability were calculated without automation, leadership had no real-time MIS, and because the analytics layer did not read Tally directly, finance re-entered data the accounting system already held. The gaps slowed decisions and capped how fast the business could grow on data.

  • Shipment tracking and reporting were largely manual and time-consuming
  • Revenue and profitability calculations lacked automation and accuracy
  • Leadership had no real-time MIS visibility
  • No direct Tally integration, so finance re-keyed the same data twice
  • Estimated versus actual performance was hard to compare across jobs
  • Freight, transport, and finance teams worked from disconnected data

Before FireAI

What ISA tried before

ISA had the data, but the tooling around it could not keep pace as volumes grew.

Manual MIS in spreadsheets

Shipment status and performance were rebuilt by hand in Excel, so reports lagged and leadership waited on them instead of acting on the day's numbers.

Transport system and Tally, not connected

Because the analytics layer did not read Tally directly, finance re-keyed numbers the accounting system already held, doubling effort and inviting errors.

Each team on its own numbers

Freight, transport, and finance kept separate reports, so there was no single, comparable view of how the business was performing.

Then they switched to FireAI

The FireAI solution

An AI analytics layer on top of the systems ISA already ran

FireAI added intelligence at every layer without disrupting existing workflows, and aligned each dashboard to how ISA actually operates.

Rather than replace ISA's systems, FireAI read from them and unified freight, transport, and finance into one analytics layer. Thirteen role-based dashboards with more than 70 widgets gave each function, and leadership, its own real-time view.

Tally, reconciled in real time

FireAI reads Tally directly, so finance stopped re-keying numbers the accounting system already held. Reconciliation that used to take hours a day now runs against a single source of truth.

13 role-based dashboards, 70+ widgets

Freight, transport, finance, and leadership each get their own view, from Sea and Air shipment tracking to Freight Forwarding MIS, Transport MIS, and CEO and CFO dashboards. Eight milestone reports were fully automated.

Plain-language KPIs with LLM widgets

LLM-enabled analytics widgets let teams generate insights and read KPIs faster, so a manager gets the answer without building the report first.

OCR turns EDO PDFs into clean data

OCR-based document processing reads EDO PDFs into structured data, and bulk upload tools and Google Form job sheets replaced manual entry, pushing accuracy past 98%.

Why they chose FireAI

  • It reads the systems ISA already ran, so the rollout was additive rather than a rip-and-replace
  • Every dashboard was aligned to ISA's existing operational structure, not a generic template
  • It added real-time MIS and AI on top of Tally and the transport system, with no warehouse build or data migration

Results & business impact

From reactive reporting to proactive, data-driven execution

Measured across teams, without disclosing financial figures.

60–70%
less manual effort
across freight, transport, and finance teams
98%+
data accuracy
through OCR and automated inputs
50%+
faster internal coordination
less turnaround time on internal processes
Hours → minutes
daily shipment tracking
centralised into real-time dashboards

Daily shipment tracking dropped from hours to minutes, finance reconciliation saved several hours a day once Tally was in sync, and leadership gained real-time visibility without waiting on a hand-built MIS. Finance, operations, and leadership now work from one source of truth, and ISA shifted from reacting to month-old reports to acting on the day's numbers.

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Implementation

How the rollout went

Phased rollout on the agreed timeline

FireAI added intelligence at every layer without disrupting the systems ISA already ran, and delivered each phase within the timelines agreed with the ISA team.

  1. 1

    Built around existing workflows

    Dashboards and automated apps matched ISA's operating structure, so teams kept their jobs and gained the analytics on top.

  2. 2

    8 milestone reports automated

    Reporting that used to be assembled by hand became scheduled and automatic.

  3. 3

    Manual entry replaced

    OCR for EDO PDFs, bulk upload tools, and Google Form job sheets removed re-keying and lifted data accuracy past 98%.

  4. 4

    One source of truth

    Finance, operations, and leadership moved onto the same numbers, so reviews started from agreed data.

Key takeaways

  • FireAI sits on top of Tally and the transport system, so switching was additive, not a rip-and-replace
  • Freight, transport, and finance now work from one real-time source of truth
  • Manual effort fell 60 to 70% and data accuracy rose past 98%
  • 13 role-based dashboards give each function, and leadership, its own view

Who should consider FireAI?

Freight, transport, and CFS operators running Tally and a separate transport system on manual MIS, who need real-time visibility without a warehouse project.

Frequently asked questions

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