Kamal Ghorui
In door-to-door sales, a representative visits homes or businesses in person to promote the product or service and make a sale. This is as traditional as the sales process can go. Can AI, which is a new-age technology, help with this process? Can traditionalism and modernity work together? We will explore the answer to this question today.
Predicting doors having a high likelihood of conversion
You can build a classification ML model, such as logistic regression, to identify which doors are most likely to buy your products and services. The set of input features will include prospect demographics, spending potential, purchase behaviour, product characteristics, competition information, and even micro and macroeconomic scenarios of the region. This exercise helps sales representatives to prioritise visits and focus only on the high-potential prospects.
Predicting the most saleable product for a door
AI can help you identify the best product from your product portfolio for a specific prospect. That way, you won’t try to sell the less preferred product or service to the prospect. Hence, the chances of successfully closing the sale increase. This will again be a multiclass classification ML model, using prospect demographics and the same features as in the previous use case.
Personalising the pitch for a door
AI can tailor make what needs to be highlighted to the prospect to make a successful sale. It can browse thousands of similar past sales, repeat the best practices, and learn from the past mistakes.
Creating materials and content for a door
AI, especially generative AI, can be used to create text, image, audio, or video content tailored to the pitch’s context, keeping the audience and the products in mind.
Segmenting and profiling doors
AI can be used to create segments of prospects and customers based on various attributes using unsupervised learning techniques, such as K-Means clustering. Each segment can be profiled. Specific campaigns and selling strategies can be determined for each segment based on their profile. Cross-selling and up-selling opportunities can be identified. Different customer acquisition strategies and different success metrics can be designed for each segment. The average customer lifetime value (CLV) for each segment can reveal the revenue potential of each customer group and help prioritise actions.
Assessing a sales representative’s performance
You can use AI to evaluate the performance of sales representatives across various parameters. Large Language Models (LLMs) can be very helpful in browsing thousands of structured and unstructured datasets to determine performance expectations and achieved levels.
Recommending improvement steps and monitoring progress
For those falling short of performance levels, AI can design improvement steps and help track their progress.
Route planning
Route optimisation, combined with the likelihood of a successful sale, will reveal interesting insights into the order in which to approach each door. This would lead to days with maximum productivity and the best utilisation of the sales representative’s time.
Coaching
Generative AI tools can create content to coach sales representatives, teach local cultural nuances, and help avoid sales mistakes.
Follow-up
You can use AI to manage the schedule and type of follow-ups, create the appropriate follow-up sales pitch, fine-tune the tone based on the audience, and determine the most effective channel (email, SMS, phone call, WhatsApp, or another visit) for the next touchpoint.
Conclusion
As I have always said, AI is not necessarily here to replace door-to-door selling. Instead, AI will enhance door-to-door selling if we embrace the technology. It will make sellers more powerful and effective. AI does not replace the human touch that defines door-to-door sales. It amplifies the human touch. By combining data-driven insights with personal interaction, businesses can make smarter decisions, improve efficiency, and build stronger customer relationships. The future lies in blending intuition with intelligence, where tradition and technology work hand in hand.
