3 Reasons Why AI, ML and Big Data Really Matter to B2B

Successful and long-term relationships with customers are built when businesses create value for their customers and make efforts to improve the overall customer experience. It has always been a preference for customers to choose effortlessness and simplicity in operations whether in a B2B or B2C space. The breakthrough technologies such as Machine Learning, Artificial Intelligence and Big Data etc. can revolutionize businesses and help them build better relationships with clients/partners.

Progressive B2B businesses need to employ these emerging technologies in their operations to drive more success to their businesses. While the buying process for B2B is considerably complicated as compared to B2C, it has now become a requirement for B2B companies to make use of modern methods to get conversant with clients and respond to decision makers with the objective of closing deals as successfully as possible.

Below are three most important ways how artificial intelligence, machine learning and big data can improve operations for B2B companies.

1. Lead generation

One of the most recent developments in the B2B space is increased use of AI in B2B marketing applications. It is a crucial task to collect leads for B2B companies and locate the contact information through social networks and company websites. Having an efficient B2B marketing strategy plays an important role in lead generation for companies. Machines these days are smart enough to make the process of finding, attracting and nurturing B2B leads as efficiently as possible. AI, when used for marketing, can evaluate unstructured data to determine patterns and help identifying good prospects. The use of AI in lead generation processes generates good results, simplifies marketing efforts and reduces man hours.

2. Predictive analytics for better marketing decisions

Using predictive analytics, data collected by various resources can be analyzed to gain insights, identify behavioral patterns, spot new prospects and also help discover the most suitable accounts from the existing prospect database. Predictive lead scoring techniques like these can help businesses look further deep into the market to choose new accounts that demonstrate an inclination towards their services. While this type of account-based marketing decision can and will still be made by humans, the machines facilitate the process and identify patterns that would take much longer to identify using human effort alone.

Read More: Smarter IoT with AI – Three Real World Examples

3. Enhanced productivity

The more we move the mundane, monotonous and analytical tasks to machines, the more humans get the independence to be resourceful, innovative and efficient in their tasks. So, while machines can identify patterns and process data efficiently to classify customers, recognize and alert humans about the customers’ needs, humans can apply the knowledge received from the machines to be more creative and effective at their responsibilities.

The uses of AI, ML and Big Data in B2B are quite astonishing and what we’ve covered is still just a small part of a much wider range of uses, including curation, fraud detection, product pricing, sales call transcriptions and analysis, predictive search and so on. 

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Strategic Systems International (SSI) is an advanced analytics and software engineering firm headquartered in Chicago with 25+ year experience in building applications for enterprises and SAAS companies with an onshore/offshore delivery model. We are a team of data scientists and technologists that seek to solve complex problems through simple technology and data enabled solutions.

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