Our Technology

KSS has over 15 years experience implementing pricing tools in some of the world’s most volatile markets. This knowledge is reflected in the architecture and operational efficiency of our pricing products. Developed in a modular fashion, KSS pricing systems provide a highly configurable framework in which users can incorporate their market-specific pricing strategies and tactics in order to  approach pricing as a highly efficient, exception-based process.

KSS' technology consists of the following:

Pricing Analytics – Easy-to-use, powerful analytic tools turn data into business insight while exception alerting capabilities enable you to identify and respond to key performance issues. The suite includes Visualizer, OLAP, dashboards, and specific tools such as Simulate.

Rules-based Pricing – A comprehensive library of user-configurable pricing rules accurately documents current pricing policy, enabling rapid generation of prices. This is triggered by the receipt of key data, in response to a manual request or according to a schedule. Rules-based pricing guarantees zero pricing errors and quick response to market events.

Demand Forecasting Engine – KSS proprietary forecasting techniques, developed and maintained with the KSS Scientific Library, are highly scalable and robust, creating reliable forecasts of volume demand by product and location over user-definable time periods. They also permit quantitative analysis of competition, delivering ranking of competitor strength by location and predicting the effect of competitor price changes.

Optimization Engine – KSS Scientific Library contains a range of proprietary optimization algorithms specifically suited to the wholesale and retail fuels businesses. They offer a choice of optimization objectives; maximize profit, margin, volume, or revenue. These robust algorithms deal with heavily constrained pricing situations typical of today’s market conditions. Working in tandem with the demand forecasting engine, optimization delivers proposed prices that maximize the desired business goal while complying with price image and other tactical constraints.

Learning Capability – The learning model is a sophisticated proprietary technique for continuously tuning the demand forecasting engine based on observed results. This function ensures that short and longer-term changes in local market conditions and factors that influence customer buying behavior are incorporated into the predictions of customer demand.

Business Intelligence & Reporting – KSS make extensive use of Business Objects Enterprise XI integrated into the pricing systems. This world-class suite of business intelligence and reporting tools delivers standard, custom, and ad hoc report generation and scheduled report distribution to users in a variety of formats. 

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