Make sales results explainable in terms of customer, product, channel, team, and profitability dimensions.
Sales analytics should go beyond simply showing how much was sold; it should explain why sales increased or decreased, which customers and products created value, and what risks could affect future results.
Minerva Sales Analytics combines opportunity, offer, order, shipment, invoice, collection, cost, and activity data across common dimensions. Operational reports, management indicators, and drill-down capabilities all feed from the same data chain.
Analytical scope
Gross sales, net sales, quantity, and order value.
Gross profit, contribution margin, and customer profitability.
Opportunity line, conversion rate and sales cycle time
Bid winning, losing and revision analysis
Product, category, brand, and product mix performance
Customer, segment, region, channel, and sales employee results.
Discount, promotion, and price variation effects.
Delivery, returns, collections, and service performance.
Prediction accuracy and risk of failing to reach the target.
Use artificial intelligence with evidence-based analysis.
Asking questions in natural language, automated summarization, and anomaly detection can facilitate access to the analysis. The generated results should be able to be linked back to the processing data, the measures used should be clearly defined, and the user should be able to verify the result by drilling down the details.
Transform sales reports from mere historical charts into management tools that generate decisions, priorities, and actions.