Machine-Learning for business
Get pricing guidance and forecasts for sales quotes & tenders and create scenarios about the future leveraging machine-learning, applied economics, and competitive intelligence.
Transform data into business value
Leveraging Cube RM’s Predictive Intelligence to forecast sales performance, probability to win for sales quotes and tenders, and competitors’ pricing. Identify existing and future market trends. Predict the impact of pricing or other decisions on sales performance and create interactive scenarios for the future. Discover actionable insights, optimize your pricing, sales, and marketing decisions, and transform data into business value.
Cube RM Predictive Intelligence
Machine-Learning with incorporated applied economics, country macroeconomics & demographics, and market dynamics.
Improved visibility into the future
Predict sales performance, probability to win sales quotes and tenders, and market trends. Generate alternative scenarios about the future for varying market conditions, competitors’ actions, and company strategies.
Better understanding of market dynamics
Identify which are the key drivers of sales performance evaluating macroeconomic or demographic shifts, emerging market trends, competition actions, company’s pricing and other important factors.
Optimized decision making
Evaluate alternative pricing or other decisions, varying market conditions, and competition actions to identify optimum strategies to maximize sales performance.
Key features
Market & Sales data
Country and market data
Single point of reference for country demographics & macroeconomics, market, and competition data.
Products
Products information and sales including units, price, and value.
Customers
Customer information, profiling, and sales history.
Data types
Actual, planned, and forecast data.
Market relationships
Market dynamics
Incorporating country demographics & macroeconomics and target audiences for each product or product category.
Product usage
Customer use cases and product usage in frequency and units.
Sales & market forecast
Sales performance
Forecast product sales, in units and value, and identify pricing trends.
Market trends
Estimate market size and future potential.
Sales quotes & tenders guidance
Probability to win
Estimate probability to win a sales quote or tender for the company and its competitors by analyzing historical sales data and/or empirical pricing data about the competition provided by the salesforce.
Competitors’ pricing
Estimate competitors’ pricing by analyzing historical sales data and/or empirical pricing data about the competition provided by the salesforce.
Forecasts
Estimate revenues for the company and the competition leveraging proprietary machine-learning models.
Scenarios
Create alternative sales scenarios for pricing, products and the competition.
Pricing guidance
Get optimum price suggestions and competitors’ pricing estimates leveraging proprietary machine-learning models.
Customer behavior
Forecasts
Predict customer value and probability to buy.
Scenarios
Estimate the impact of pricing, product selection, customer location & profile, and other factors in achieving customer targets and create alternative sales strategies.
Customer segmentation
Customer segmentation based on location, profile, probability to buy, revenue potential, profitability, or other KPI.
Predictive scenarios
Key success factors
Predict the impact of pricing or other factors on sales performance and identify key growth drivers.
Interactive scenarios
Create interactive scenarios about the future for varying market conditions, competitors’ actions, and company strategies.
Optimization
Optimized decision making
Evaluate alternative pricing or other decisions, varying market conditions, and competition actions to identify optimum strategies for the company, products, or customers.
Optimization types
Maximize revenue, profit, or profit margins. Constraint or unconstrained optimization.
