PriceCypher
Empower your sales teams with the strength of AI for an optimal pricing strategyPricing is crucial to the success of your business. With PriceCypher you can leverage AI-driven customer insights and drive effective pricing management, value recovery and growth opportunities.
Why PriceCypher?
Boost your competitive edge with AI
An intelligent pricing strategy gives your organization a competitive advantage.
Increase margins, decrease negotiation time
Inject PriceCypher into existing sales processes to gain insights into drivers of pricing growth, recovery and optimization.
Compete with dynamic pricing
With PriceCypher you can differentiate pricing based on margin, churn and volume.
What is PriceCypher?
The PriceCypher toolkit
Assets in action
Raw material price forecasting in the chemicals industry
Improving conversion on commodity business
A chemical company experienced a lack of future visibility into costs of commodities. This was hampering sales and negatively impacted conversion.
Food ingredient manufacturer recovers its margin
PriceCypher enables revenue uplift
A multinational food ingredient manufacturer was struggling from margin leakage due to lack of commercial control and excessive discounting.
Shipping company undergoes complete commercial transformation
Real time dynamic optimization of sales operations through predictive modelling
A global shipping company suffered from excessive discounting, lost deals, margin leakage and missed margin opportunities.
Additional information
PriceCypher facilitates the end-to-end price setting and optimization process by computing value-based list and floor prices. It provides you with optimal discount guidelines for segments as well as willingness-to-pay prices.
Step 1: Set value based price boundaries
Compose list prices and floor prices for products or Stock Keeping Units. Use internal and external transactional price data, product cost metrics, competitive pricing, seasonality, supply and more.
Step 2: Set product-customer segments
Classify products into logical groups and segments eg. segment customers and products. Take factors into account such as profitability, demographics, spend and loyalty, price elasticities and lifecycle.
Step 3: Simulate discount matrix
Simulate discount thresholds for different product-customer segments. Evaluate the potential value of correcting non-compliant customer deals. Set risk-assessed guidelines to recovery.
Step 4: Deal price optimization
Compute the customer willingness-to-pay for each and every deal and deal situation. Evaluate the potential value of correcting non-compliant customer deals towards willingness-to-pay prices.
Step 5: Basket & margin optimization
Analyze real-time purchase behavior to improve basket performance by replacing existing products in the basket with higher Return on Sales (RoS) products.
PriceCypher helps sales teams find the sweet spot of pricing. The internal and external data it provides can be of great value in numerous situations and industries. We have already gathered a huge amount of data for front runners in the following industries.
Chemicals
Food and Beverages
Freight logistics
Energy
Insurance
Download the Gartner Market Guide > for Price Optimisation & Management.
Get in touch
We are happy to start the conversation about your revenue growth management and guide you to the optimal pricing strategy for your organization.
Ruud Schmeink
Partner
Shruti Anand
Senior Manager
Jeroen Smeets
Senior Manager