Business Model
The business model provides customers with smart, eco-friendly and high-quality home appliances through online and offline sales channels. It combines short-term loans for shopping, loyalty points, exclusive membership programs and digital services to increase sales and improve operational efficiency through flexible inventory, shipping and capital management.
Online specialised appliance sales
Enhance consumer relationships and experiences by building an appliance e-commerce sales platform
Offline sales and strategy
Coordinate with local business partners to increase offline store coverage
Allow for bulk orders from customers to increase sales
strategically pursue government and commercial job contracts
Brand building
To set up factories in Indonesia to obtain government subsidies and increasing sales and exports
Cooperate with Chinese suppliers to import smart, eco-friendly home appliances
Top-notch customer service
Setup local customer service centres
Establish a membership loyalty program to improve brand loyalty
Introduce points and cryptocurrency
Launch the point system for members
Cryptocurrency rewarded after purchase
Provide short-term loans to increase sales
Initially team up with local financial institutions to provide short-term loans for shopping on our platform
Introduce the Buy-Now-PayLater business model
Launch direct money lending business to boost revenue after stabilization
Improve efficiency with AI and big data
Incorporate flexible inventory management and logistics management with the help of AI
Cash flow management
Introduce cash pooling, Efficient Cash Management and Bond Investments to improve returns
Effective Liquidity Risk Management
Global treasury and risk management (USD, EURO, RMB and INR)
Using AI and big data to improve sales efficiency of our platform
AI provides customers with more information to help generate additional revenue, provide new business opportunities, and improve the efficiency of retail operations to reduce costs.
Different types of technology are used to help collect, process and analyse customer information data to predict, inform, forecast and help retailers to make the correct business decisions.
Customer Engagement
Leveraging technology to engage with customers, our platform gains valuable insights into consumer behavioural preferences without interacting directly with consumers. Based on consumer data and behavioral trends, it enables companies to improve customer engagement
Custom homepage and adopting to users
Mobile phones and digital devices can analyse and reflect the shopping behaviour of customers.
Guided Exploration
As customers build confidence in their purchasing decisions, the AI implemented can help narrow down choices by recommending products based on shoppers’preferences, to improve the payment success rate
Emotional responses and purchase
By recognising and interpreting facial and audio cues, AI interfaces can identify a consumer's mood, reaction or state of mind and offer appropriate products
Responsive R&D
Deep learning algorithms collect and interpret customer feedback and sentiment, as well as purchase data, to support future product and service design to meet any demand in the marketplace.
Inventory management
AI creates better demand forecasts, by gathering insights from market, consumer and competitor data. With the help of the analysis, It will become possible to predict which products need to be sold in which shops and in which locations
