1. Quantity Available in the Season Transaction Shipped Quantity Data Transaction Product Data Transaction Product Data Transaction Product Data Transaction Product Price Data Historical Daily Price Data Historical Daily Shipped Quantity Historical Product Data Predictive Analytics Revenue Optimization Predictive Analytics Revenue Optimization Predicted Product Quantity for Sale at the price Predicted Product Quantity for Sale at the price Predictive Analytics Small & Midsize Enterprises Today’s competitive and shifting markets, especially for perishable goods with seasonality, daily challenge small and mid size enterprises (SMEs) to realize the full value from their products. SMEs often have no control over the selling prices, or may be able to negotiate a limited control through contracts. Business Intelligence can help them greatly too, just as it helps large enterprises. The historical information on critical factors can be collected and organized into a dynamic business model for insights into the both, what had worked and what did not work. Such insights can then be applied what to the current data about these critical business factors, e.g. quantity that should be sold now or delayed at a possible price. We create such predictive analytics model for SMEs either in the turbo-charged Excel, or to integrate it with the company database. The insights derived from the analytics range from historical reporting to real-time analysis that can be used. The result is a panoramic view of the business that strikes the right balance of awareness and confidence to improve business outcomes. Predictive Analytics Small & Midsize Enterprises Today’s competitive and shifting markets, especially for perishable goods with seasonality, daily challenge small and mid size enterprises (SMEs) to realize the full value from their products. SMEs often have no control over the selling prices, or may be able to negotiate a limited control through contracts. Business Intelligence can help them greatly too, just as it helps large enterprises. The historical information on critical factors can be collected and organized into a dynamic business model for insights into the both, what had worked and what did not work. Such insights can then be applied what to the current data about these critical business factors, e.g. quantity that should be sold now or delayed at a possible price. We create such predictive analytics model for SMEs either in the turbo-charged Excel, or to integrate it with the company database. The insights derived from the analytics range from historical reporting to real-time analysis that can be used. The result is a panoramic view of the business that strikes the right balance of awareness and confidence to improve business outcomes. Predictive Analytics C LICK FOR T HE N EXT S LIDE C LICK FOR T HE N EXT S LIDE

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