March 9, 2020
Vendavo, the market leader in commercial excellence solutions, announced today two of their flagship solutions have been included in Q1 2020 Constellation Shortlists. Vendavo CPQ Cloud has been included in the Configure, Price, Quote (CPQ) Shortlist™ and Vendavo PricePoint has been included in the Price Optimization Shortlist™.
“CPQ and Price Optimization are two key strategies for achieving commercial excellence in today’s increasingly competitive, digital marketplace,” said Alex Hoff, Vice President, Product Management, Vendavo. “It’s very rewarding to be included in these Constellation Research reports because, from the beginning, our goal has been to support the modern enterprise in profitable deal making.”
An integral part of the quote-to-cash business process, CPQ application suites help B2B companies win more deals and maximize profits in a constantly changing, complex business landscape. To be included in the Constellation Shortlist for CPQ, researchers considered ease of use, deal optimization/profitability modeling, CRM integration, broad geographical reach for multilanguage/currency support, workflow management, guided selling, sales accessibility, analytics, role-based reporting and post-sales support.
Vendavo CPQ Cloud and Vendavo Deal Manager have also been included in the Constellation Research 2020 Market Overview for CPQ. The report states: “Vendavo recently upgraded its user experience with an interface redesign. This includes better guidance information for salespeople on deals in progress. The dashboard shows list, target, floor and stretch prices and highlights deal risk based on customer behavior. It can display product and customer-level risk and show commission by deal. The new UI also includes an Admin Console for no-code rules management and configuration.”
To maximize margin and potential revenue on every deal, price optimization solutions help determine and deliver optimal prices and guidance to the sales team. To be included in the Constellation Shortlist for Price Optimization, researchers considered the ability to support multiple pricing models, complete promotion rules, price list management, pricing segmentation prescription, markdown scenarios, dynamic pricing, advanced analytics, machine learning and AI for the prediction of new models and the integration with CPQ.