A general sales agent (GSA) handling Thai Airways Cargo’s regional operations was responsible for generating FWB (Freight Waybill) messages for every shipment booked through their 14 booking offices across Southeast Asia. Each FWB required manual creation in the airline’s cargo system, a process that took an average of 18 minutes per air waybill due to the complexity of populating all 16 FWB message sections with accurate data.

The GSA processed approximately 120 FWBs per day. At 18 minutes each, this consumed 36 staff-hours daily—the equivalent of 4.5 full-time employees doing nothing but FWB creation. Errors were inevitable: approximately 8% of FWBs contained data discrepancies that surfaced during CASS (Cargo Accounts Settlement System) reconciliation, costing the GSA an average of ฿200,000 per month in disputed charges, credit notes, and manual correction labour.

CASS reconciliation itself was a monthly ordeal. The finance team spent 5 working days each month manually comparing CASS billing data against booking records, identifying discrepancies, and filing disputes. The process was error-prone, and the GSA estimated that 15–20% of legitimate discrepancies went undetected, representing unrecovered revenue.

KabyTech deployed its FWB Generation Engine, which automatically creates fully compliant FWB/16 messages from booking data. When a booking is confirmed in the GSA’s reservation system, KabyTech extracts the booking details, enriches them with shipper/consignee data from the master database, calculates charges based on the applicable tariff, and generates a complete FWB/16 message—all in under 2 seconds.

The generated FWB is automatically validated against IATA Cargo-IMP standards, Thai Customs requirements, and the airline’s specific business rules before transmission. Every field across all 16 sections is checked for format compliance, logical consistency, and data completeness. The system flags any booking data gaps that would cause downstream CASS discrepancies, allowing agents to correct issues before the FWB is transmitted.

For CASS reconciliation, KabyTech’s matching engine automatically compares the GSA’s FWB data against the monthly CASS billing file, identifying discrepancies at the line-item level and generating exception reports with recommended actions. What previously took 5 days of manual work now completes in 15 minutes.

The deployment began with a 2-week integration phase connecting KabyTech to the GSA’s reservation system and the airline’s Cargo-IMP messaging gateway. KabyTech engineers mapped every field from the booking record to the corresponding FWB/16 section, including conditional logic for special cargo types (dangerous goods, live animals, perishables) that require additional FWB segments.

During week three, the system processed 500 historical bookings in parallel with the manual FWB creation process. Results were compared message-by-message. KabyTech-generated FWBs matched the manually created versions on 99.4% of fields, with the 0.6% difference consisting entirely of cases where the manual FWB contained errors that KabyTech correctly avoided.

The CASS reconciliation module was deployed in month two, processing the first full monthly CASS cycle. It identified ฿87,000 in previously undetected discrepancies from the prior month—revenue the GSA had been losing silently. By the end of month two, all 14 booking offices were live on automated FWB generation.

FWB creation time dropped from 18 minutes to 2 seconds per AWB—a 99.8% reduction. The 36 staff-hours previously consumed daily by FWB creation were eliminated entirely. Agents now spend their time on sales, customer service, and booking optimisation rather than data entry. The GSA was able to increase booking capacity by 30% without adding headcount.

CASS discrepancies dropped from ฿200,000 per month to zero. The pre-transmission validation catches data issues before they enter the CASS pipeline, and the automated reconciliation ensures that any airline-side errors are detected and disputed within hours of CASS file receipt. The finance team’s monthly reconciliation effort shrank from 5 days to 2 hours.

The cumulative financial impact exceeded ฿3.6 million in the first year: ฿2.4 million from eliminated CASS discrepancies, ฿870,000 from recovered previously undetected discrepancies, and ฿380,000 from reduced overtime and labour reallocation. The system paid for itself within 6 weeks of deployment.

For airline cargo GSAs, FWB creation and CASS reconciliation represent two of the most labour-intensive and error-prone processes in daily operations. Automating both with KabyTech eliminated ฿200,000 in monthly discrepancies and freed 4.5 FTEs worth of labour from repetitive data entry.

The 2-second FWB generation time means that documentation is never a bottleneck in the booking-to-departure workflow. Agents can confirm a booking and know that a compliant FWB will be transmitted automatically, without manual intervention or quality checks. This speed and reliability is a competitive advantage in a market where GSAs are judged on operational efficiency.

The GSA is now working with KabyTech to automate additional airline messaging including FSU (shipment status updates) and FFR (booking requests), moving toward fully automated end-to-end cargo messaging.