The OEM supplier enlisted Evalueserve for pricing analytics support and extracting data from existing pricing PDFs to build a data set on the competition. Using natural language processing and text analytics, we built a data warehouse for the client and created a custom pricing platform. The platform allows salespeople to compare current capabilities and prepare, manage, and analyze bid quotations.
They asked Evalueserve to help improve benchmarking of their services versus their competitors. After a three-month pilot program in 2018, the OEM supplier saw the value and ROI of our services. Our experts increased the ease of use and accuracy of benchmarking and provided faster delivery times. The client extended and continues to extend our engagement to manage their pricing analytics.
Our experts are experienced in building pricing products and can deploy and scale them with speed. We created a custom pricing platform for the client that has an easy-to-use dashboard with the data we harmonized, cleaned, and extracted from catalogs.
Salespeople and other employees use the application to access interactive dashboards. They configure their views based on specific needs and what information they are interested in. The application makes it easier to compare data sets and find information. In addition to making relevant information more accessible with custom views, users can access visualizations of the data sets via an integration with Microsoft Power BI.
Our work helped the OEM supplier’s salespeople improve their bids and campaigns. The pricing platform has a bid quote tool with repair comparison, pricing, bid preparation, campaign management, and win/loss analysis information. The bid quote tool tracks the entire campaign journey, measures bid success, and benchmarks what was offered in a particular bid against similar campaigns. Ultimately, this gives salespeople valuable insights into what’s working and what’s not, allowing them to optimize their campaigns.
Our engagement accelerated the creation of new data sets by using text analytics to add the latest catalog information and list prices to the central data warehouse.
We provided higher-quality quantitative data to support the client’s decision-making process with better visualizations and reports. Thanks to more accessible data, the client experienced an increase in productivity and has more time available to spend on strategic activities.
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thanks to having been enabled to negotiate better deals with suppliers
in supplier risk
in effectiveness due to the elimination of a middleman for document resourcing/storage