One of the main goals of business process management (BPM) is to standardize the process in order to automate and derive business value through the elimination of flaws or unnecessary steps. Artificial intelligence (AI) and machine learning are the means of injecting intelligence into business processes and pushing BPM capabilities to their limits. AI-powered solutions for business process automation orchestrates work to produce business outcomes that go far beyond typical process performance results.

With over one trillion dollars spent annually on sales teams, maximizing sales productivity is a critical goal for every enterprise. For this purpose, it is important to measure the KPIs and outcomes at each stage of the sales process. Having the benchmarks to assess performance makes companies better equipped for today’s new selling environment. Leveraging a process-driven sales automation tool can help manage sales metrics to achieve the heightened win rates every company seeks.
By linking marketing, sales and service your company can find new ways to use its current resources to bring more leads, retain your current customers and enhance service management while excelling overall customer experience. Take a look at how blending your processes into a single driving machine can help your organization achieve desired business outcomes faster.

Artificial Intelligence (AI), machine learning and analytics are becoming much more of a practical part of customer service. By 2018, 50% of agent interactions will be influenced by real-time analytics and the use of virtual customer assistants (VCAs) will jump by 1,000% by 2020. Intelligent tools can deliver a better self-service solution, help service teams provide faster support and enhance the overall customer experience across different channels.

Artificial intelligence (AI) and machine learning are the means to injecting intelligence into sales processes and testing BPM capabilities to their limits. Over 70% of owners and executives said that to "better leverage big data and analytics in business decision making" would be a high or critical priority over the next 12 months. The challenge for process-focused organizations is how to adopt and harness this tremendous potential of AI and uncover all the powerful capabilities that machine learning provides for sales teams.

 

With more than 6 billion connected devices and over 2.5 quintillion bytes of data created daily, today's fast-paced environment offers tremendous opportunities for organizations that know how to put this data to use by structuring it the right way. This is where artificial intelligence (AI) comes into the game.