Today's pricing managers have a huge amount of data at their disposal to help them forecast demand and set appropriate prices. However, attempting to exploit this data when it is not embedded within the existing pricing and marketing system is a complex, fraught and often ineffective process. With AMP2 however, pricing managers have a single system that collates, calculates and evaluates data, then provides the best tools to exploit the findings.

• Determine sales forecasts at a SKU level from price and promotion information using a single mathematical model
• Forecast product sales over several sales periods to take into account demand dynamics (before, during and after a promotion, for example).
• Estimate both non-promotional and promotional direct and cross price elasticity coefficients
• Identify key relationships between products (complementary and substitution effects)
• Quantify the impact of different promotion types on product sales
• Estimate the impact of the frequency and duration of past promotions on future sales.