Optimise your product portfolio based on TecDoc product data analytics. Make data-driven decisions and easily analyse your opportunities.
Using TecDoc’s comprehensive catalogue data, as well as VIO and catalogue usage data, we provide actionable insights to optimise your range and identify market gaps.
Tailor your product range to actual market demands and boost your sales based on analytics data.
Identify gaps, opportunities, and threats in the market, and act before your competitors do.
Operate with insights relevant to regional, country, or worldwide markets based on our comprehensive VIO data.
Our cloud-based tool provides actionable insights to optimise your range, identify market gaps, and outperform competitors. It’s not just about having data; it’s about having the right data and knowing how to use it.
Capitalise on TecDoc’s exhaustive catalogue data, VIO information, and usage stats for a 360-degree view of the market landscape.
Reduce effort to research missing parts and quickly receive valuable reports leading to easier argumentation and smart decision making.
Benefit from customisable, user-friendly reports that make interpreting data a breeze, saving you time for strategic planning and execution.
Product managers can use the knowledge gained to supplement existing catalogue data in a targeted manner. In this way, the vehicle coverage can be noticeably improved.
No need for complex inputs. Easily select from ten predefined analyses for cars and light commercial vehicles or trucks.
Specify your Tecdoc data per country or region and add either current VIO data or forcasted data to your analysis.
Select up to five different products per report you want to get data-based insights on.
Select up to 100 competitors per report to benchmark your portfolio and predict your market position.
Specify your vehicle range by make and model, body type, engine, fuel type as well as date of manufacture.
You can easily customise your report by setting specific filters or sorting options depending on the type of analysis and use case.
In today’s fiercely competitive automotive parts landscape, making data-driven decisions is more than just an edge—it’s a necessity.