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Price Scenarios in a Dynamic Market

Updated: May 8

Price scenarios estimating the impact of pricing and other factors on sales performance in a dynamic market🚀

Who is it for🙋

Imagine you are working in marketing, pricing, or other relevant functions in your company and want to predict the impact of pricing, macro, market, and other conditions on your sales performance.

The challenge you face

Predicting your sales performance is a complex process influenced by many growth drivers:

  • Pricing (per country, market, or other dimension)

  • Country conditions (inflation, exchange rates, spending capacity, etc)

  • Market conditions (supply constraints, materials & other costs, competition, etc)

  • Product characteristics (product variety and features, quality, bundling, etc)

  • Customer characteristics (customer diversity, customer personas, segmentation, etc)

It is challenging to identify the impact of these factors and estimate your sales performance based on your experience and simple data analysis. Furthermore, the few specialized software tools you could use are too complex, with a long learning curve.

The solution💡

Unlike most sales forecasting models that don’t work well in volatile environments or expect too much from the users in terms of time and expertise, FutureUP’s Predictive AI models take into account pricing, and the changing country, market, product, and target audience conditions and allow the user to generate results quickly, in real-time, and with measured accuracy:

➡️Sales & Market forecasts

Estimate the impact of pricing per multiple dimensions (countries, markets, time, or other), on several KPIs (probability to buy, revenue, profit, profitability) with measured accuracy (Min/max ranges at certain confidence level).

➡️Key growth drivers identification

Finding the most important growth drivers with the largest performance impact.

➡️What-if scenarios

For changing pricing, macro, market, product, and customer conditions.

The model can leverage all available data:

  • Historical data (product sales, competitive intelligence, market indicators, macro & demographics indicators, etc.)

  • Prospective data (pricing research, market research, market trends, macro & demographics trends, etc.)

All these can be combined or used independently as presented in the following indicative example:


Data to use

Existing product with historical data availability

Historical data

Existing with limited historical data availability

Historical & Prospective data

New product

Prospective data

Dream outcome😀

Improved visibility and optimized strategy for varying market and macro conditions with effortless, real-time forecasts.

Our Predictive AI models do the heavy lifting of data analysis, generating sales & market estimates per country or other dimension, enabling you to interact effortlessly with intuitive dashboards, including key predictive insights.

Success stories🏆

Check out how our Predictive AI model generated Price Scenarios estimating probability to buy and other KPIs for varying price and macro indicators across multiple countries.


Interested in learning more about AI-Powered Price Optimization and Strategic Forecasting?

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