More efficiency and greater precision in quotation preparation: CPQ and AI
Customer expectations of manufacturers of capital goods are increasing: they must be able to configure technically complex products quickly and without errors, calculate prices optimally and create convincing quotes. Customers also expect a smooth and customised sales process.
The solution: Configure-Price-Quote (CPQ) combined with innovative AI technologies. Thanks to our new AI module in camos CPQ, companies optimise their processes with machine learning and generative AI. The result is greater efficiency in the individual quotation process, no errors and maximised completion rates.
Use cases: best results with camos CPQ and AI
From analysing quotation data to calculating sales opportunities and creating quotation content: The AI integrated into the camos CPQ solution takes sales teams to a whole new level of efficiency and success by making the insights from other quotes directly accessible in camos CPQ.
Use case 1: best price
Factors such as company size, market conditions and location are analysed by the AI to determine the optimum price and discount. Companies that opt for the camos CPQ solution therefore always secure the best possible price, increase their completion rate and avoid unnecessary discounts.
Use case 2: best content
Neben strukturellen Faktoren analysiert die KI in camos CPQ tausende Angebote aus ähnlichen Branchen und berechnet, welche Konfigurationen und Zusatzleistungen die höchste Erfolgsquote haben. So wird zum Beispiel die optimale Laufzeit für eine Garantieverlängerung basierend auf erfolgreichen Abschlüssen ermittelt. Das Ergebnis: passgenaue Angebote und höhere Abschlussraten – datenbasiert statt zufällig.
CPQ and AI: a promising future
According to a study by the Institute for Applied Labour Science (ifaa), around 60 % of manufacturing companies in Germany will have implemented at least one AI application by 2035. Anyone who wants to be considered a pioneer in the field of sales should therefore take action now.
