Thailand-based Sugar Producer
How the Thailand-based sugar producer achieved 90% faster processing time on the same document volume
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Faster to process the same document volume
Company Description
- Based in Malaysia with a team of hundred people and a customer base of over a million
- One of the fastest-growing travel companies in Asia
- Offers its customers the ability to find and purchase affordable travel options
- Acts as a broker and travel-agency-as-service company
Challenges Faced
- Needs to process a wide spectrum of invoices throughout the entire operational flow, especially its airplane tickets brokerage services
- Recruit a few contractors to process all documents manually
- Manually processed all documents in PDF formats, which is time-consuming and highly error prone
Solution
- All invoices are processed through XXX, which serve as the core operational platform in the finance department’s Accounts Payable team
- Use pre-trained model to capture key information on the invoice
- Pair vendor and cost center records
- The company’s backend team is responsible to integrate the pipeline with original Oracle system, while XXX provides all-rounded and quick technical assistance to the team
Impact
- Largely reduce manual work which originally require full-time effort of nearly 10 contractors every month
- Now, the team is spending only about 1 hour per person daily
- Lower error rates by 90% and reduce the number of exceptions by 70% for manual review
- Without cutting headcount, the company can now assign more advanced tasks to the contractors, such as past due reports, financial analysis and credit notes to reduce costs
Company Description
- Thailand-based producer and marketer of sugar for both food and chemical purposes
- Operate more than 10 production facilities across Asia
Challenges Faced
- Recruited 4 specialists in the data entry team to process the purchase orders from a wide variety of trading and manufacturing customers
- Each purchase order from different business partners has its own unique format
- The order usually contains long and complex line-item tables that are not feasible for traditional OCR
Solution
- MachIDP provides a highly accurate AI model trained particularly on the company’s purchase orders
- The AI model is continuously trained and improved through human data validation
- MachIDP is well-integrated with the company’s original ERP via another IT consultancy
- Enters production stage 1.5 months after the solution purchase
- Runs in parallel with original workflow to ensure smooth integration at the beginning, and becomes fully independent after 2 months
Impact
- Achieve 90% faster processing time on the same document volume
- User friendly interface so that staffs without much software experience can also use smoothly
- Consistently improves accuracy without much maintenance and assistance from MachIDP