Anza debuts Price Quote Predictor for solar panel purchasing
We just published our Solar + Software Showcase last week, and there’s already something new to add. Anza announced three enhancements to its Solar Pro subscription, which includes a novel dataset feature — Predicted Quote — that estimates negotiated price ranges for every module on the platform.
“Anza has always provided our clients with the most current module pricing database,” said Mike Hall, CEO and co-founder of Anza. “Our new Predicted Quote feature takes this database to the next level, offering the industry’s only dataset that estimates negotiated final prices to give customers a decisive edge in winning projects and securing better deals.”
Anza’s new features
The Predicted Quote feature is a first-of-its-kind dataset and feature. Anza will estimate the final negotiated price range for every module on the platform, using real-world, anonymized customer quotes and Anza’s supplier negotiation experience. Prices are shown as a 25th–75th percentile range and refreshed regularly, giving buyers a realistic view of what they can expect to pay.
This feature helps companies gain a negotiation edge, especially module buyers before they begin their procurements, EPCs and C&I developers when preparing client proposals, and developers when selling projects.
Beyond Predicted Quote, the Quarterly Outlook feature provides 10 quarters (2.5 years) of supplier-provided module pricing in one easy-to-use table. It’s a new way for users to see this data in the platform, which previously had to be tied to a specific user project and its criteria. Users can sort, search, and filter the data by technical, value, and supply chain criteria, then click through to a specific module detail page. Module buyers can track prices, report to leadership, and refine approved vendor lists with greater accuracy, whether they are actively purchasing or simply gathering market intelligence.
Going one step further, the Five-Year Monthly Forecast uses Anza’s regularly updated platform pricing, negotiated pricing history, and machine learning models to predict module prices up to five years out. Anza is promoting this forecast as “instantly accessible and current.”
