Client:Siam Food Services
Region:Asia Pacific & Japan
Siam Food Services: Future-proofing operations with AI-powered automation
90%
reduction in order processing steps
15,000
hours eliminated in yearly manual work
$60K+
saved annually through automation
Client Overview
Siam Food Services (SFS), a leading premium food solutions provider operating across Asia Pacific and the Middle East, faced increasing operational pressure as its business scaled. High-volume manual processes across finance, pricing, and customer order management slowed execution, strained teams, and created bottlenecks across the organization. To modernize its core operations and prepare for long-term growth, SFS partnered with UiPath to build an intelligent automation foundation capable of delivering speed, accuracy, and resilience.
Reimagining order processing with AI
Handling more than 30,000 customer orders every month, SFS relied heavily on manual data entry across 29 separate steps. This required continuous effort from a 10-person operations team. To reduce strain and improve consistency, the company deployed UiPath Document Understanding to capture, classify, and extract order data with accuracy and scale.
The change was immediate. In a pilot with more than 20 customers, SFS automated 26 of the 29 manual steps, which represented a 90% reduction and cut hours of work down to minutes. Human application, involvement shifted to reviewing exceptions and approving orders rather than entering data. SFS now processes roughly 8,150 orders per month using this AI-powered workflow and saves 50 hours each month.
What used to take our team hours of manual data entry now takes just minutes. The UiPath AI-powered automation captures, classifies, and logs every order automatically, leaving our people to focus on quality not paperwork
Accelerating pricing decisions with smart automation
Special price approvals were another high-volume challenge. Each request required 19 manual steps and consumed meaningful administrative time. SFS introduced its SMART Price application, which is an automated workflow built using UiPath, Microsoft Teams, and Azure AI. It streamlined the entire process from request submission to final approval.
Manual steps dropped from 19 to 4, representing a 79% reduction. More than 95% of special price requests are now fully automated, requiring no human in the loop. This reduced handling time per request from two minutes to roughly 30 seconds and freed commercial teams to focus on strategic pricing decisions rather than administrative tasks. Overall, the company saves 600 hours each year.
Transforming finance through end-to-end automation
With 600,000 invoices processed every year and thousands of payments flowing through the system, SFS’s finance operations were under constant pressure. Bank statement uploads took eight hours of manual work daily, while Accounts Receivable settlement required 11 hours.
Using UiPath Robots, SFS automated these workflows, which allowed uploads to run continuously and complete in roughly 100 minutes. This represented a reduction of 79%. AR's settlement time also fell to under four hours, which improved cash application speed and accuracy.
SFS also implemented QR-based online payments, which reduced cash transactions from 67,000 per year to 2,000. The improvements were recognized with a Silver Award at Thailand’s Approval Process Excellence Awards.
Manual processes were slowing us down and burning out our teams. With automation, we have turned hours of repetitive work into minutes and freed people to focus on customers not spreadsheets.
Building a scalable automation culture
Beyond individual successes, SFS is now building a citizen development program so employees closest to the work can create their own automations. This approach speeds up innovation across departments and helps the business scale more effectively as demand grows.
This scalable approach has already extended beyond SFS. Automation has been deployed at Indoguna Lordly Company Limited in Hong Kong, where a Customer Service AI Agent for order management now eliminates manual processing for more than 500 sales orders per month, demonstrating how SFS can replicate success across regions.
Looking ahead: The next wave with agentic AI
With thousands of hours returned to the business and major efficiency gains across operations, SFS is preparing for its next phase. The company plans to explore agentic AI systems that can learn from experience, support more complex decision making, and react to changing business conditions without requiring human oversight.
Automation has given us speed and accuracy. Agentic AI will give us foresight and the ability to make smarter decisions without waiting for human intervention.
Outcomes:
Freed up employee time: By automating repetitive and manual tasks, Siam Food Services allowed its teams to shift their focus toward more meaningful and strategic activities, boosting overall productivity and job satisfaction
Reduced operational complexity: The company streamlined its workflows across finance and order management, simplifying daily processes and making operations more efficient and easier to manage
Improved speed and accuracy: Leveraging agentic automation, Siam Food Services sped up order processing while reducing errors, resulting in faster turnaround times and an enhanced experience for their customers
Additional resource:
Gain insights from seasoned professionals and explore how cutting-edge automation technologies can supercharge your organization's efficiency and profitability. Watch the Financial Services Summit from FUSION.
Related case studies
