Do you face the following challenges?

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Collaborate with the globally recognized business partners

Flexible Billing Options to Fit All Your Needs

HK$ 2,400 /month

Accelerates developing your marketing strategies to boost conversion and member loyalty
Model includes:
RFM Segmentation
New Memebr Forecast
Repurchase Forecast
Member Churn Forecast
Marketing Campaign Forecast

HK$ 4,800 /month

Accelerates developing your portfolio pricing and product mix strategy to enable precise marketing
Model includes:
Category Repurchase
Personalized Product Recommendation
Shopping Cart
Inventory management
Inventory sales forecast

All in 1

HK$ 6,000 /month

Growth your business in marketing effectiveness with our all-round solution
Model includes:
RFM Segmentation
New Memebr Forecast
Repurchase Forecast
Member Churn Forecast
Marketing Campaign Forecast
Category Repurchase
Personalized Product Recommendation
Shopping Cart
Inventory management
Inventory sales forecast

*Price quoted above is including program executable only, installable to Microsoft Windows 7 or above desktop operating systems. Recommended hardware to have minimal 8Gb memory and 2GB disk space.
*7*24 technical support team
*Complete Data analytics report

SERVICE ADVANTAGES

Excellent Predictability

Automate batch model training and seek the optimal solution for mofel prediction.

User-friendly

No need to learn programming and Self-service analytics for everyone

Cost Efficiency

Implementing AI solution on a budget

Big Data Support

Machine learning for buying behavior prediction enables better decision

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Sucess Case

Excavate high repurchase members, enables minimizing conversion costs

A large pharmaceutical retailer has adopted our retail solution to achieve their business goals. Compared with traditional data analysis, AI technology has improved long-term marketing conversion effects by 50% to 100%.

Converted
Customers

70%_▲

Total
Transactions

68%_▲

Total
Sales Amount

85%_▲

Q&A

What is automated batch modelling to pick the best predictive model?

The best data, the best algorithm, and the best parameters create the model with the best prediction effect in the current scenario. This process is very time-consuming and required continuous trial and adjustment. Batch modelling tried more than a dozen data combinations and dozens of data algorithms and obtained the optimal solution after automatic parameter tuning modelling.

How do we ensure the prediction effect with enterprise data?

Modelling is divided into 4 processes: data access, data processing, model construction, and model evaluation. After obtaining the business data, it is necessary to perform feature engineering on the data to build a comprehensive business analysis indicator system. The retail models of the above cubes have been standardized and encapsulated, which can be quickly predicted only by data access, and automated processing will be performed in the next few steps. The business effect of the model can also be verified by A/B Test.

How will customers apply these models? What deployment methods are supported? How to connect with the business?

The above is a small program, which can be used out of the box and can be quickly predicted by accessing the data, and the prediction result is output as an Excel file; if you need to connect to big data for real-time prediction, you can deploy the model to AI Manager for one-stop model prediction. The result is connected to the business system through an interface (API); all deployment methods support privatized deployment.