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
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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.
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.
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 timelineFireAI 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
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
8 milestone reports automated
Reporting that used to be assembled by hand became scheduled and automatic.
- 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
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.
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