Digitized AI Product Manager and Business Analyst Platform
Challenge
We were approached by a medium-sized company that craved to grow, but could not figure out the suitable product line and struggled with finding a good product manager. During this hard process of growing, they understood that there are numerous of start-ups, small, and medium-sized businesses that can’t grow up because can’t afford to hire business analysts or find a convenient product for detecting bottlenecks, best and worst products and features, and CJM.
Therefore, our partner decided to develop such a tool to optimize their own expenses and product line, work out their customer journey map, improve the user experience of their products and help other companies in assessing of UX and product’s marketing effectiveness based on the company’s data and with the help of the artificial intelligence analyzation abilities.
We were approached by a medium-sized company that craved to grow, but could not figure out the suitable product line and struggled with finding a good product manager. During this hard process of growing, they understood that there are numerous of start-ups, small, and medium-sized businesses that can’t grow up because can’t afford to hire business analysts or find a convenient product for detecting bottlenecks, best and worst products and features, and CJM.
Therefore, our partner decided to develop such a tool to optimize their own expenses and product line, work out their customer journey map, improve the user experience of their products and help other companies in assessing of UX and product’s marketing effectiveness based on the company’s data and with the help of the artificial intelligence analyzation abilities.
Solution
As soon as we had to include artificial intelligence in the forecasting, assessing the current state, and constructing analyses, we had to implement strong validation parameters, so the uploaded data will be interpreted in the best shape.
Companies’ data has to be in the right format and includes all required fields.
Once the AI model is trained, it has to be stored for further generating of the synthetic data and analytics.
The safeness of business user’s data has to be the priority for the high product reliability.
Parameters in the uploaded datasets may not be divided into B2B and B2C since there are businesses that do both.
Accuracy of the predictions is controversial, because the amount and content of the data being uploaded can be different from the data the model was trained.
As soon as we had to include artificial intelligence in the forecasting, assessing the current state, and constructing analyses, we had to implement strong validation parameters, so the uploaded data will be interpreted in the best shape.
Companies’ data has to be in the right format and includes all required fields.
Once the AI model is trained, it has to be stored for further generating of the synthetic data and analytics.
The safeness of business user’s data has to be the priority for the high product reliability.
Parameters in the uploaded datasets may not be divided into B2B and B2C since there are businesses that do both.
Accuracy of the predictions is controversial, because the amount and content of the data being uploaded can be different from the data the model was trained.
Results
Virtual BA Assistant
The core feature of this project. Each product company-user has its own CRM in which they upload data about the clients and sales. The algorithm studies the data and on their basis creates a report that shows at which stage the different processes take place: where the customer leaves, where it is halted, at what stage it moves to the selling point of the product. Then, the system forecasts possible further conversions of current leads and provides recommendations for improvement and income growth. Each CRM uses machine learning and in-depth data analysis based on the company’s information.
Virtual PM Assistant
For the companies who want to create new products or integrate new features in the existing ones, our system can be a virtual project manager, that will analyze the ROI of the product, detects its possible bottlenecks, highlight the core pros and cons of this solution, and provide some advices for growth, based on the uploaded data about the project or about the company as a whole.
Start-Ups ROI Auto-Evaluation Tool
For start-up companies only, we have created a tool to evaluate the profitability of investments and develop different functionalities for the weak project. As with KPI assessment and user behavior analysis, the client should dump all available data into their unique CRM, and an AI-based analyzer will predict the success of a certain function or project as a whole, as well as provide advice on improving CJM and UX.
Data Preprocessing Microservice
To solve the problem of the possible client’s data variety, we developed a data preprocessing microservice. This microservice accepts raw data from clients, either directly or from another service, and transforms it to a suitable format for the model. It cleans the data and handles missing values as necessary.
Unique CRM for Each of the Client
Once the processed data is stored in a database, it has to be saved in security. We realized the system of auto CRM generation. Each client will have its own data storage, so the confidential information won't be leaked or be available to other clients and their CRMs.
Virtual BA Assistant
The core feature of this project. Each product company-user has its own CRM in which they upload data about the clients and sales. The algorithm studies the data and on their basis creates a report that shows at which stage the different processes take place: where the customer leaves, where it is halted, at what stage it moves to the selling point of the product. Then, the system forecasts possible further conversions of current leads and provides recommendations for improvement and income growth. Each CRM uses machine learning and in-depth data analysis based on the company’s information.
Virtual PM Assistant
For the companies who want to create new products or integrate new features in the existing ones, our system can be a virtual project manager, that will analyze the ROI of the product, detects its possible bottlenecks, highlight the core pros and cons of this solution, and provide some advices for growth, based on the uploaded data about the project or about the company as a whole.
Start-Ups ROI Auto-Evaluation Tool
For start-up companies only, we have created a tool to evaluate the profitability of investments and develop different functionalities for the weak project. As with KPI assessment and user behavior analysis, the client should dump all available data into their unique CRM, and an AI-based analyzer will predict the success of a certain function or project as a whole, as well as provide advice on improving CJM and UX.
Data Preprocessing Microservice
To solve the problem of the possible client’s data variety, we developed a data preprocessing microservice. This microservice accepts raw data from clients, either directly or from another service, and transforms it to a suitable format for the model. It cleans the data and handles missing values as necessary.
Unique CRM for Each of the Client
Once the processed data is stored in a database, it has to be saved in security. We realized the system of auto CRM generation. Each client will have its own data storage, so the confidential information won't be leaked or be available to other clients and their CRMs.