Many sales organizations invest a lot of time in manual analyses to identify sales opportunities and set priorities. Structured data on customer behavior, market changes and buying potential is often missing. As a result, valuable leads remain unused, sales resources are not used optimally and sales potential remains unused — while increasing competitive pressure at the same time.
Together with the customer, Liquam has developed an AI-based solution that proactively supports sales, automatically identifies sales opportunities and provides concrete recommendations for action.
An example from practice:
An internationally active industrial company wanted to increase the closing rate and reduce administrative expenses in sales. The aim was to create a solution that would provide sales representatives with data-based recommendations, identify cross-selling potential and focus specifically on the most promising customer contacts.
In this project, Liquam developed a tailor-made, AI-based sales platform for an industrial customer. After an analysis of existing sales processes, CRM data and market information, a solution was set up that automatically recognizes and prioritizes sales opportunities.
The AI evaluates customer behavior, order patterns and market trends, identifies cross-selling and up-selling potential and provides sales with specific recommendations for the next contact. An intelligent traffic light system shows priorities and open activities, while automatic reminders help to follow up on offers.
A dashboard enables management to centrally monitor opportunities, forecasts and activities. The solution is scalable and can be extended to include functions such as predictive maintenance, market monitoring or automated campaign management.
