Case studies

1. MICROMARKET DEVELOPMENT

CHALLENGE

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 ~)

OUR SOLUTION

Followed from upstream process to downstream process, operation / maintenance support

Adopted serverless architecture

Developed a face recognition payment module by utilizing AI

RESULT

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

CHALLENGE

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

OUR SOLUTION

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

RESULT

Cost reduction: copyright fees, service fee, hardware costs
Workflow digitisation
Up-to-date technologies that are easy to be integrated with other systems

3. COMPUTING COST SAVING

CHALLENGE

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.

OUR SOLUTION

Migrate their system to run with EKS on spot strategy on AWS

RESULT

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

CHALLENGE

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

OUR SOLUTION

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.

RESULT

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

CHALLENGE

The customer requests a user-friendly app compatible both with iOS & Android for their users, the app is required to accumulate points for redemption

OUR SOLUTION

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