Our German client specializes in developing CPQ software extensions (configure, price, quote) for CRM platforms (customer relationship management). The client reached us with the request to develop a highly customized CPQ solution for their big multinational client because their technical team didn’t have the capacity to cope with the challenge.
The end client is a global technology corporation from Munich, Germany. The company specializes in power generation and distribution, intelligent infrastructure for buildings and distributed energy systems, and automation and digitalization for manufacturing industries.
The sales teams that we were to develop a CPQ solution for, focus on quoting intelligent infrastructure and decentralized energy systems implementation, on developing pricing models for automation and digitalization in the process and manufacturing industries.
They are a German-headquartered multinational business that plans their financial flows for decades ahead. To do so, sales teams of the corporation strive to plan their financial flows per client by analysing accurate pricing models within any given product configuration scenario for a period of twenty years.
The solution of our client is a CPQ designed to help companies configure, price, and quote deals automatically. Our team was working on customizing the software for a multinational corporation, and integrating the system to their CRM, PSA and ERP applications.
Built using standard objects like quotes and products, the system offers one common data structure across the entire client’s service lifecycle that it models and quotes. This shared data model makes it faster to launch new services and iterate quicker.
We developed a list of customized features that allow users to add resources, products and managed services to their pricing models. Equipped with the features, the software users can now adjust timelines, add discounts and switch between varied pricing models. The catalog feature enables its users to define the needed assets to model sales for years ahead.
The system is designed to efficiently handle large and complex quotes, accommodating up to 100,000 lines without compromising performance. This capability ensures seamless operations for organizations managing high volumes of configurations, enabling quick turnarounds even for the most intricate proposals.
By leveraging advanced AI algorithms, the system analyzes customer buying behaviors and preferences to provide personalized product recommendations. This feature not only enhances the user experience but also empowers sales teams to make data-informed decisions, improving conversion rates and customer satisfaction.
The software integrates real-time data analysis to forecast revenue with high accuracy. By using live data, businesses can make better-informed strategic decisions, anticipate market trends, and align resources proactively to meet financial objectives.
Users can customize pricing models with ease, adjusting timelines, applying discounts, and switching between various pricing strategies. This flexibility supports dynamic business needs, ensuring that pricing remains competitive and aligned with market demands.
The catalog feature allows users to define and manage assets required for sales modeling years into the future. This capability helps businesses stay prepared for evolving market demands and ensures that sales plans are scalable and sustainable.
Built on standard objects like quotes and products, the solution ensures a unified data structure across the service lifecycle. It integrates seamlessly with CRM, PSA, and ERP systems, enabling faster launches of new services, streamlined operations, and quicker iterations for continuous improvement.
The quote analytics that we’ve implemented helps software users to keep track of various metrics and their thresholds during the quote approval procedure. Additionally, the solution enables users to forecast resource demand and services revenue in real time down to the organization, practice, or project level.
The features that we developed equip the software user to:
Our multinational client leveraged AI-based price guidance to accelerate close rates without leaking revenue for decades ahead. What’s more, the client empowered their sales teams with full mobile capabilities of model pricing and subscription quoting on-the-go.
2 years
