AI in sales: Automated customer search through AI

Artificial intelligence in sales - automatic identification of potential new customers

How can artificial intelligence help sales teams find new customers in a targeted manner? How can AI find new leads for me?

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Summary:

With AI, companies can specifically and systematically find new customers for international markets. Artificial intelligence automatically searches extensive data sources and filters potential customers based on predefined criteria. This gives the sales team a list of qualified leads that meet the requirements of the target market. This saves resources, minimizes risk and allows you to enter the new market in a focused manner.

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Initial situation:

Manually researching potential customers for expansion into new markets is time-consuming and prone to errors. It becomes particularly difficult when specific market knowledge is lacking, for example when expanding internationally into little-known countries or regions. Sales teams often work with limited information, leading to wastage and inefficient lead generation. An AI-powered solution can help by quickly analyzing large amounts of data and creating precise customer profiles that match expansion goals.

According to a McKinsey study, companies can improve their lead quality by up to 50% and reduce customer acquisition time by up to 60% by using AI in sales. AI-based data analysis can save up to 70% of resources for manual customer search (Source: McKinsey Digital)

How can AI optimize automated customer searches in international markets?

An AI-based solution offers concrete added value for (international) customer search:

• Automated scanning of large databases: AI can search extensive sources such as business directories, websites, and social networks to identify relevant companies and contacts.
• Filtering according to specific criteria: Based on defined criteria such as company size, industry, turnover or location, the AI generates a list of relevant target customers.
• Identification of buying interests: AI also analyses search trends and other patterns to point out potential buying interests and market needs.
• Real-time data update: AI always keeps the customer database up to date, which is particularly advantageous for dynamic markets.

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Next steps for implementation:

1. Define criteria: Together with the sales team, set clear criteria for target customers.
2. Select data sources: Decide which databases, business directories or social networks should be used for the search.
3. Implement an AI system: Choose an AI solution that can be connected to relevant data sources and allows you to adjust search criteria.
4. Feedback and adjustment: Conduct regular feedback loops with the sales team to further improve results.

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Conclusion:

Automated customer search using AI technology is a valuable tool for sales teams who want to open up international markets. Through targeted data analysis and filtering, AI can identify relevant customers faster and more precisely than traditional methods. It thus facilitates market entry and strengthens growth potential for companies. If you too would like to discover the possibilities of an AI-based customer search for your internationalization strategy, we would be happy to talk to you without obligation.

Are you interested in the possibilities of generative AI in your company? Contact us for a free initial consultation and find out how you too can integrate artificial intelligence into your e-commerce processes.