The Tectura AI Kickstart Program，is specifically designed for businesses aiming to rapidly adopt AI and data analytics capabilities. Through streamlined and efficient solutions, it accelerates the process of digital transformation. We offer three core solutions—Customer Insight Generation, Business Efficiency Enhancement, and Intelligent Business Advisory—to address diverse business needs.
Insights Generator
Efficiency Booster
Business Advisor
*The above three AI Kickstart solutions are not sequential. Each solution can be customized based on the specific needs of the business, offering clients a flexible balance between investment and return.
AI Kickstart: Insights Generator
KPI dashboard
Using data visualization technology, generate KPI management dashboards to enable enterprise management to monitor and analyze business performance in real time.
Input Data: A single data source such as CSV, Excel, or MSSQL database.
Output Results: Power BI dashboards with role-based access control (Row-Level Security) for different user groups.
Data Analytics Platform
Build a data analysis platform encompassing the complete process of data extraction, cleaning, aggregation, and transformation, ensuring datasets are prepared for subsequent BI reporting or advanced analytics.
Input Data: A single-format database (e.g., MSSQL) with support for both full and incremental data loading.
Output Results: Cleaned and transformed structured datasets, ready for use in BI or other analytical tools.
AI Kickstart: Efficiency Booster
Vendor Invoice Recognition and Automation
Extract invoice data from supplier email attachments. Support PDF format and provide structured invoice header and line details. For Dynamics 365 users, enable automated processes for uploading invoices to temporary tables in Business Central and Finance & Operations, facilitating user verification.
AI Chatbot
An intelligent Q&A system based on internal corporate documents supports various intelligence levels to meet employees' needs for quickly retrieving information at work. The solution options include:
- Entry-Level: Supports basic keyword search.
- Intermediate RAG: Supports semantic search.
- Enterprise-Level RAG: Supports advanced semantic search.
Intelligent Automation
By leveraging DPA (Digital Process Automation) and RPA (Robotic Process Automation) technologies, different business processes can be executed automatically.
Output Results: Automated workflows based on events or predefined schedules, supporting operations such as text input, file manipulation, and value comparison.
AI Kickstart: Business Advisor
AI Chatbot
Based on historical sales, returns, and other data, a customer churn prediction model is built to help businesses identify potential churn customers.
Input Data: Data tables such as sales, returns, and customer information.
Output Results: A Power BI report including a list of churned customers, the monthly number of churned customers, and net customer counts.
VIP Customer Prediction
Identify potential VIP customers to help businesses recognize and nurture high-value customers early on.
Input Data: Sales data, customer profiles, and related information.
Output Results: A Power BI report featuring a list of potential VIP customers, the monthly number of new VIP customers, and net VIP customer counts.
Product Recommendation
Provide personalized product recommendations for each customer to enhance their shopping experience and increase repurchase rates.
Input Data: Sales, customer, and product information.
Output Results: A Power BI report featuring personalized product recommendation lists for customers.
Customer Segmentation
Automatically segment customers based on their behavior and attributes to help businesses manage customers more effectively.
Input Data: Sales data, customer information, and related data tables.
Output Results: A Power BI report featuring explanatory customer segmentation charts.
Demand Forecasting (Time Series)
Based on historical sales data, perform demand forecasting to assist businesses with inventory and production planning.
Input Data: Daily sales data spanning over 36 months.
Output Results: A Power BI report featuring historical data and future forecasts.
