1. MICROMARKET DEVELOPMENT
A customer want to start a new retail chain wants to open unmanned stores targeting office market with the following expectations:
Low operation cost
Cashless payment POS
Available for applying face recognition payment (from 2022 ~)
Followed from upstream process to downstream process, operation / maintenance support
Adopted serverless architecture
Developed a face recognition payment module by utilizing AI
More than 200 small unmanned stores are being opened
Operation system can run smoothly without any problems.
By applying the serverless architecture, customer can reduce huge amount of AWS infrastructure costs
Applying facial recognition payments reduce the number of payment steps
2. PAPERLESS FACTORY
The customer is a leading enterprise in the field of plastic industry in Vietnam and wants to solve the following problems:
The disjointed departments make the management difficult
A lot of documents are not consistent, difficult to access
Obsolete technologies, incompatible to intergrate system
Converting documents and other papers into digital form, creating a paper-free office environment
Digitalize processes, decentralize authority to departments, put management on the intergrated system
Cost reduction: copyright fees, service fee, hardware costs
Up-to-date technologies that are easy to be integrated with other systems
3. COMPUTING COST SAVING
The customer is a tech-savvy startup in Vietnam, with a SaaS eCommerce product running in cloud.
Their current deployment in GCP having some bottleneck in performance, security and cost.
Migrate their system to run with EKS on spot strategy on AWS
After the migration, their product can run and scale with no limits.
We can observe a 30% decrease in monthly recurring cost.
4. DEMAND FORECASTING & PLANNING FORECASTING ASSISTANCE USING AI
The customer is facing 2 issues:
Issue 1: Customer are carrying out demand forecasting by utilizing order records and product information but the accuracy is not accurate due to too many parameters and external factors. In particular, it is difficult to forecast demand for new products, and the optimum order quantity is unknown.
Issue 2: System are heavily relied on experience & human force to run
Analyse & relearn customer’s forecast model
Develop an AI demand forecasting system to predict & process
Customer quantity, optimal order quantity, order quantity, etc.. using various forecast algorithms.
Preventing opportunity loss by optimising order volume and production volume, improving sales by 7-10%
Market forecasting and marketing support for new product development
Customer number forecast and price optimization → Reduction of inventorycost and improvement of profit
5. LOYALTY APPLICATION DEVLOPMENT
The customer requests a user-friendly app compatible both with iOS & Android for their users, the app is required to accumulate points for redemption
Develop a loyalty app fulfilling required features: point accumulation, gift exchange, notifications and advertising to enhance customer engagement, retain loyal customers.
Link the system with customer external system to manage information on events, coupons and user points.
Use chatbots that allow users to ask questions & reply quickly
App got over 160,000 users.
Autoscale allows the system to operate smoothly even when data traffic surges.
Marketing cost reduced, the customer experience improved.