Case study: Sales bookings forecasting engine for a global cloud and virtualization major

Business Context

Our client, a global cloud and virtualization major, was looking to achieve a B2B revenue forecast from disparate sources—several tiers of the organization, a dynamic competitor landscape and varying density of data and mix of products at different life stages. The sophisticated sales hierarchy necessitated multiple revenue forecasts at different levels. Integrating all these factors into a single weekly forecast was not only tricky but required competence.

How BRIDGEi2i Delivered Value?

BRIDGEi2i’s Sales Booking Forecasting Engine saved the day by deploying just what the client needed. We worked closely with the client to develop the Sales Decision Engine by leveraging advanced AI algorithms that combine to form the best forecast options.

Our Sales Decision Engine can help you make sense from chaos

Want to know how we reached realistic forecasts?

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