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Our Data Science teams have great exposure to building artificial intelligence algorithms predicting or forecasting enterprise sales outcomes based on historical data with new age sales forecasting methods using deep learning technologies as well as traditional statistical methods including ARIMA, SARIMA, etc. This has opened new paradigms in AI for Sales and Marketing sector.
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We are capable of enabling e-commerce platforms to deliver more intuitive personalized shopping experiences using real-time datasets of browsing history, choice, and demographics that more precisely reflect a customer’s recent buying status to streamline supply chain operations and make shopping unique to each customer and their journey exciting using AI for Sales and Marketing
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Well versed in building new generation customer intelligence products driving enterprise sales and marketing activities, enabling companies with dynamic price optimization, customer behavior and development characteristics helping them to be ahead of customer demand and proactive prediction of enterprise’s sensitivity, profit margins, compliance, regulations, and other upcoming risks. Also, this application of AI for Sales and Marketing provides a personalized consumer experience especially for unsure purchasers by transforming casual internet shopping into a real retail experience.
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While deploying AI for Sales and Marketing sector using machine learning algorithms, we have enabled our customers to objectify their decision-making process based on quantitative data rather than gut instinct or incomplete information by allowing them to look dispassionately at large datasets and classify them into leads with prioritization scores that tell the customers which leads they should follow with priority
