Artificial Intelligence in a Construction Machinery Company
Artificial intelligence technology can be used in a wide variety of areas. In this article, you will learn how AI was used in a mechanical engineering company.
I've already written a few posts on this blog about Artificial Intelligence (AI) in sales. Simply a fascinating topic for an old sales hand like me who has worked with several different CRM systems as well as sold AI systems.
For someone in sales, the area of predictive analytics is particularly interesting - an AI is able to predict sales opportunities. That's why I report on a specific case study below.
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How to use Predictive Analytics in your CRM for Truly Data-Driven Decisions?
Successfully implementing Predictive Analytics for data-driven decisions in your CRM requires more than just software.
Every successful sales team wants to become data-driven. Companies that successfully execute predictive analytics in their CRM are easy to identify.
They take care of their salespeople and successfully utilise their current data and processes. They employ the standard software and adapt them to their situation. Finally, they introduce Predictive Sales to CRM step by step and learn from their experience.
Why a CRM System with Predictive Sales Analytics and AI?
CRM and Sales Analytics: In this article, you will learn what you can expect from a CRM system with artificial intelligence.
Using CRM systems have long been a common practice in large companies today, even if not always successfully implemented. Small and medium-sized enterprises (SMEs) often still have some catching up to do.
Meanwhile, the next expansion stage has long been underway. Predictive sales analytics/artificial intelligence (AI) is being added to the CRM systems.
Lead-Scoring with Predictive Analytics - Sell smarter!
How does AI-based predictive lead and customer scoring benefit your marketing and sales team over traditional methods?
Do you use your CRM system for your lead and customer evaluation and perhaps even with integrated marketing automation? You’re on the right track, but you can do even better: the next step is predictive lead and customer scoring.
Lead and customer scoring have been around for a long time and have proven itself: according to a study by MarketingSherpa, companies that used lead scoring models already achieved a lead generation ROI of 138% in 2011. This performance is almost double more than companies that do not use lead scoring methods (with an ROI of 78%).
Predictive Analytics Blog – The Best of 2019
Es ist wieder soweit: Das Jahr neigt sich rasant dem Ende zu und wenn wir zurückschauen hat sich 2019 einiges bei Qymatix getan.
KI und maschinelles Lernen dringt immer weiter in die Unternehmenswelt in Deutschland vor. Das haben wir dieses Jahr – in positiver Weise – deutlich zu spüren bekommen! Spannende Projekte, neue Kooperationen und Interessenten haben uns dieses Jahr durchweg begleitet.
Predictive Analytics CRM - A New CRM or Predictive Analytics? What comes first?
The top 3 reasons why successful companies avoid changing their CRM and use Predictive Analytics instead
Implementing a new Customer Relationship Management System (CRM) is a minefield for B2B companies. These projects tend to last longer than planned and cost more than budgeted. In many cases, they fail altogether.
CRM vendors are quick to oversell the utopian benefits of their solutions. Companies buy them in good faith without clear and measurable expectations.