SP-2000 ver. 1.12 for Salesforce

The optimal price point is the one that has the highest probability to win the sale at the lowest discount level.

SP-2000 applies machine learning to your historical sales data, to calculate and recommend to your sales team, the exact optimal discount applied to your product or service, in order to maximize profit contribution from each sale. The app takes into account all relevant previous offers your company has made to potential buyers, and analyzes the price/discount versus the outcome (win or loss.) Every sales opportunity is unique, but some characteristics are comparable across opportunities. SP-2000 selects only relevant historical offers from your company bid log, in order to analyze the win/loss rates at different price/discount points for comparable sales opportunities, in order to calculate and recommend the optimal discount level to the sales opportunity at hand.

As your company bid log grows, SP-2000 discount recommendations become sharper. SP-2000 is extremely simple to use by your sales team, as the only interaction they will have with the app is that the discount field in Salesforce will no longer be empty, but will be pre-populated with the optimal discount.