According to a Harvard Business Review study, it's likely that 85% of customer interactions with businesses won't involve humans on the other end by 2020. Thanks to mobile and the web, customer self-service is already commonplace in many industries. Thanks to the emergence of automation and artificial intelligence, consumers have numerous options available when they want to communicate with businesses. Companies that acquire these new technologies experience a host of possibilities, particularly when it comes to customer retention and sales. Sales teams that use AI have already reported a 50% increase in leads and a 60% reduction in costs.

The sales department is the most crucial segment of every organization which contributes the maximum to keep the organization in profitability state and ahead of the curve. However, measuring the sales team contribution to revenue growth, managing unexpected risks, testing the innovation against the market or customer changes, precisely planning sales practices, reducing inconsistencies and closing the deals in addition to seamless communication with diverse stakeholders and prospects via conventional methods is undoable for the sales professionals. It doesn't mean the sales professionals have a lack of data. Instead, the multitude of platforms and sources are generating more customer information than before, but extracting the value out of the mammoths of data is the biggest challenge. The need for accurate prediction, automation, and intelligence in the sales department has made embracing artificial intelligence and machine learning technology irresistible for all the organizations.

CRM is a great tool, but it often fails to consider the softer side of sales management and the complexities of the sales process. With the aid of predictive models that take all factors into account, sales leaders gain a more precise picture of the state of their sales force and pipeline, which helps them and their reps understand where to focus their efforts for maximum results. As the New Year begins, it's sales kick off in many organizations. This is the perfect opportunity for sales teams to regroup and align around a common goal for 2018. During this time, it's critical for teams to recognize their most productive salespeople, which can be a tricky endeavor.

Machine learning may be a buzzword now, but what could it actually mean for business and sales down the line? Will salespeople be replaced by Rosie from The Jetsons, or a more frightening HAL? Doubtful. But the ability to automate sales tasks could mean big changes on the horizon. We accept that data is the key to designing successful, personalized engagements with our customers. SAP recently commissioned a research report by Aberdeen, which discusses the importance of a "data-driven understanding" of our customers on a granular level.

Advertisers have come up against a wall. The use of ad blockers is on the rise as consumers look to control how much interruptive advertising they receive online and over social media. People may not welcome what they see as an endless barrage of messaging, but that doesn't mean they want to block everything. They just want communications that are relevant. In the UK, for instance, the Internet Advertising Bureau (IAB) found that more than half of consumers would turn ad blocking off to receive the content they want.

COMIX (configuration of mixing machines) is a system that assists members of the EKATO Sales Department in designing a mixing machine that fulfills the requirements of a customer. It is used to help the engineer design the requested machine and prepare an offer that's to be submitted to the customer. comix integrates more traditional software techniques with explicit knowledge representation and constraint propagation. During the process of routine design, some design decisions have to be made with uncertainty. By including knowledge from process technology and company experience in the mechanical design, a sufficiently high degree of flexibility is achieved that the system can even assist in difficult design situations. The success of the system can be measured by the increase in the quantity and the quality of the submitted offers.