Overview
With a wide range of solutions for AI/ML, document parsing, object detection and popular tools (Automation Anywhere,Ui Path, Power Automate, Blueprism), TMA RPA Center has provided automation solutions for a variety of industries, including finance, banking, logistics, human resources, and e-commerce.
TMA RPA Center provides solutions for automation projects or dedicated teams for a full automation program with multiple projects.
RPA Process
Understand
- Understand clients’ working process
- Collect information on tools and effort for each task
Analyze
- Analyze clients' system, break down processes and identify where to automate
Structure
- List all parts of the process that can be automated
Proposal
- Propose solutions for automation
- Provide quotation
- Image
- Video
- Voice
- Text
- Document
- Parser
- ID card Parser
- License parser
- OCR
- Video analytic
- Options
- Benefits
- Trial/Production
Empowered by TMA AI Center
Top 11 AI & IoT Enterprises
500 Engineers AI/ML & Data Analytics
10 Years
Sample Solutions
Logistics
- Account Creation Make Easy
- Inventory Alert
- COD Automation
- Traffic Image Processing
- Logistics Data Process
Finance
- Debt reminder
- Insurance Claim Payment Process
- Finance report mismatches detection
- Identity card & Driver's license parser
- Bank & Tax Statement OCR
E-commerce
- Brand Labeling & Recognition
- Product Description Optimization
- Product Description Generator
- Vendor Application Process
Human Resource
- Document Parser
- Job vs Candidate Matching
- Automatic Resume Input
- Onboarding Process
Case Studies
Automatic CV Input
COD Status update
Logistics data process
Automatic debt reminder
Inventory alerts
Problem
- 10 minutes to get and enter information for 1 CV into the recruitment system with multiple stages and applications
- 1000 CVs to be processed per week
Result
- 8000 hours saved for Human Resource Department annually
Problem
- Complex process, need to manipulate files in different systems
- Human errors may occur when collating large data daily
Result
- 12000 hours returned in year one
- 100% accuracy without manual effort
Problem
- Hundreds of arrival notices to process with different format from multiple partners daily
- Repeated and time-consuming task
Result
- Reduce 90% processing time
- 3000 hours saved to workers annually
Problem
- Debts need to be checked to remind customers regularly
- Overdue debts may be missed sometime
Result
- 2500+ hours returned to office workers
Problem
- Inventory needs to be checked and updated regularly
- Late notifications or human errors can result in losing sales
Result
- Inventory can be scheduled to check 24/7
- 3500+ hours returned to office workers
