Yes. The methodology is not limited to the Bergisches Land region and can be applied to any geographical sales territory.
Energy distribution
How Data-Driven Territory Planning Tripled Lead Generation in Field Sales
Enerleads replaced subjective territory selection with data-driven sales planning. More than 308,000 buildings were analyzed to identify specific target areas and create operational routes for the field sales team.
Enerleads GmbHPublished 21. Juli 2026Project Duration:May 2026Implementation Time:3-4 daysCompleted10-20 employeesGermany, WuppertalGDPR-compliant
308,380
Buildings analyzed
42
Postal code areas analyzed
13
Priority target areas
3x
More leads per working day
Executive Summary
Problem
Territory planning for the field sales team was largely based on experience and gut feeling. Although extensive public building and geospatial data was available, turning it into concrete sales decisions would have required significant manual analysis.
Solution
Within a matter of days, DACH AI Solutions developed a multi-stage analysis pipeline that automatically combines and evaluates public building, energy, and structural data. Based on the results, the system identifies priority target areas and generates ready-to-use daily routes for the field sales team.
Result
More than 308,000 buildings were analyzed, resulting in the identification of 13 particularly attractive target areas. Once the approach was introduced into daily operations, the average number of leads collected increased from 2–4 to 8–12 per working day. At the same time, Enerleads gained a reproducible methodology for objectively evaluating, prioritizing, and managing new sales territories in the future.
Key Insights
Many companies already have access to the data required to make well-founded sales decisions.
The real bottleneck is rarely access to information. It is the ability to evaluate that information economically and translate it into concrete recommendations for action.
This project demonstrates that AI does more than process large volumes of data. It connects different information sources, identifies relevant relationships, and turns them into a reliable foundation for sales management and territory planning.
Starting situation
Enerleads operates a door-to-door sales organization for photovoltaic and heat pump solutions.
Previously, new sales territories were selected primarily based on the team’s experience.
Whether an area actually offered sufficient potential often only became apparent once the field sales team was already operating there.
As a result, the quality of territory planning depended heavily on the knowledge and judgment of individual employees and could only be reproduced to a limited extent.
At the same time, extensive public building, energy, and structural data was available. However, the data existed in isolation and did not provide an immediately actionable basis for sales decisions.
Tech Stack
Claude CodePythonSQL
Process Overview
- 1
Combine the Data
Public building, energy, and structural data is automatically collected, combined, and standardized.
- 2
Analyze Market Potential
All relevant postal code areas are evaluated and prioritized according to their sales potential.
- 3
Evaluate Individual Streets
Within the priority areas, individual streets are objectively assessed using predefined criteria.
- 4
Create Daily Routes
The most promising streets are combined into ready-to-use daily routes for the field sales team.
- 5
Provide a Management Report
All results are documented in a clear management report, including maps, priorities, and concrete recommendations for action.
Results
Before the analysis was introduced, territory planning was based largely on experience.
Whether a territory was economically attractive often only became clear after several days of field sales activity.
Today, new territories are objectively assessed, prioritized, and provided to the sales team as concrete daily routes.
This allows field sales representatives to focus on the areas with the highest potential from the outset.
Once the system was put into operational use, the average number of leads collected increased from 2–4 to 8–12 per working day.
Business Value
The primary value does not lie solely in creating more efficient walking routes. It lies in enabling the company to manage its regional sales activities objectively.
New territories can be evaluated and prioritized within a few days. This makes regional expansion and local sales campaigns easier to plan and faster to implement.
At the same time, the existing field sales team can be deployed specifically in the areas with the highest identified potential.
For the first time, Enerleads also has a reproducible methodology for selecting new sales territories instead of having to assess every region from scratch based on subjective judgment.
Qualitative Value
Territory planning evolved from an experience-based process into a data-driven decision-making system.
As part of the project, more than 308,000 buildings were analyzed and 42 postal code areas were evaluated. This resulted in 13 priority target areas and a total of 134 ready-to-use daily routes.
The methodology can be transferred to any additional region and provides the foundation for scalable, long-term sales territory planning.
“The biggest difference is that we no longer select our territories based on gut feeling. The data now shows us which routes offer the greatest potential. This has significantly improved the quality of our territory planning and directly resulted in more leads being generated by our field sales team.”
Frequently Asked Questions
The analysis combines different sources of public building, energy, and structural data into a unified foundation for decision-making.
No. The value does not come from costly proprietary datasets, but from intelligently combining and evaluating publicly available information.
The approach is suitable for any company with a regional field sales operation, including businesses in photovoltaics, heat pumps, fiber-optic infrastructure, telecommunications, and real estate.
New regions can be evaluated and prioritized within a short period of time using the same methodology and assessment criteria.
Are you still making sales decisions based on experience rather than reliable data?
We analyze which public and internal company data is already available and how it can be transformed into an objective foundation for territory planning, field sales management, and regional expansion.