How an Indonesian Logistics Company Eliminated Manual Data Entry with AI
Case study: A major Indonesian logistics company used AI document automation to eliminate manual data entry, cutting costs and doubling throughput.
A mid-sized logistics company headquartered in Surabaya was processing over 2,000 shipping documents daily through a 35-person manual data entry team. The team was a constant bottleneck — causing delays in shipment tracking, billing, and compliance reporting. Turnover was high and errors were frequent.
The company deployed an AI document processing platform over eight weeks. The system learned the document formats used by the company's top 50 partners and carriers, reaching over 97 percent extraction accuracy within the first month. Documents arriving by email, WhatsApp, or scanned upload were processed automatically, with data pushed directly to the company's management and planning systems.
Within six months, 22 of 35 data entry staff had been redeployed to customer service and business development. Document processing throughput doubled without adding headcount. Billing cycle time dropped from three days to same-day. Estimated annual cost savings: IDR 4.2 billion.
The most challenging element was not the technology — it was helping staff embrace their new, higher-value roles. Companies that invest in this transition early see far faster adoption and better outcomes.
Ready to transform your document workflows?
Contact our team for a live demonstration tailored to your organization's needs.