SAGASaga-beli-132x66SAGASAGA
  • OUR STORY
  • CAREERS

How AI based CRM can change your business?

Almost all companies with a large number of customers have different CRM solutions. We do not want to talk about what CRM solutions are, because our goal in this blog is to show you the difference made by CRM solutions based on artificial intelligence and machine learning models. How many times have you, as a user, received an offer from a company even though you have already completed the purchase or cancelled it, more precisely, you did not receive it at the time when you were interested in a service or product? Have you had offers that do not fit your profile at all, e.g. an offer from a bank for a cash loan, and you already have enough money in your account, so a savings offer would be a much better offer for you? Precisely because of these situations, every company that introduces CRM or switches to another solution, encounters challenges such as:

Lack of real-time decisions

Integration with other company systems

Data collection from all available sources

It is not enough for CRM to monitor only historical data, but it is necessary to make decisions in real-time, based on events. If the client appears at the place of interest (logging in to the application, opening the portal, physical appearance, etc.), it is necessary to react and offer the client a product/service with the highest probability of a positive outcome. To make this possible, CRM must be integrated with all the company’s systems and must successfully collect and process data from all available channels on which the client is located.

It used to be enough for CRM to aggregate customer data and help a company automate processes. Today, CRM is far more than that. Thanks to artificial intelligence and the application of advanced machine learning models, CRM is becoming a powerful predictive and analytical tool that takes business and customer relations to a new level.

The amount of data that companies collect nowadays is incalculable. However, companies often do not use the full potential of the data they have. The application of different analytical models enables companies to use the full potential of the resources they have. With machine learning models, customers can be segmented according to the behavior they exhibit towards the company when using different channels and products of the company. By knowing the segments in which customers are located, companies can improve their approach to the customer by personalizing the offers and campaigns they send.

Furthermore, different predictive models learn based on previous client behavior and then predict numerous parameters of interest. For example, what is the next best offer for the client (Next Best Offer), what value will the client bring in the future (Customer Lifetime Value), whether will he become a premium client or stop using the company’s product or service (Churn prediction)?

In this way, companies not only integrate data from all available sources but also obtain valuable conclusions, thanks to the application of artificial intelligence, which indicates correlations in the data. Thanks to these conclusions, companies nurture the relationship with existing customers and increase the base of loyal customers by sending content that is relevant to each of them.

Advanced models of machine learning are, in addition to clients who are individuals, also clients who are business entities – corporations, small and medium enterprises. Predictive models provide the ability to calculate the risk of this type of client for the future. When a company knows which customers will become risky, it can react promptly, take preventive measures, and reduce the impact of an existing or potential problem on its business.

By using CRM solutions based on artificial intelligence, companies influence the improvement of both internal processes and customer relationships. These solutions enable the company to gain an advantage in the domestic and global market, thanks to the full use of the potential of its resources, process automation, and real-time response, using the latest technologies.

Povezane vesti

ePijaca Srbija (eMarket of Serbia) portal – help to the vulnerable part of the economy

ePijaca Srbija (eMarket of Serbia) portal – help to the vulnerable part of the economy

ICT companies united in humanitarian action: High school students travel to Houston for the competition!

ICT companies united in humanitarian action: High school students travel to Houston for the competition!

Students from around the world have solved the Weaver case

Students from around the world have solved the Weaver case

Saga Hackaton 2019

Saga Hackaton 2019

Donate, do not advertise

Donate, do not advertise

10th Spring Vivaldi CEO forum

10th Spring Vivaldi CEO forum

style="fill:;" fill=""
style="fill:;" fill=""
© 2019 SAGA. All Rights Reserved LoboHouse Agency
    • Serbian
    • English
      Tokom posete našoj web prezentaciji, koristimo kolačiće koji omogućavaju identifikaciju korisnika. Kolačići su male datoteke koje se privremeno čuvaju na hard disku. Naši kolačići ne sadrže lične podatke, tako da je vaša privatnost zaštićena, takođe možete zahtevati brisanje evidentiranih podataka. Ukoliko isključite upotrebu kolačića, postoji mogućnost da nećete moći da otvorite sve sadržaje na našoj web prezentaciji. Da li zelite da našu web prezentaciju pogledate bez kolačića – cookies? Klikom na “Slažem se”, koristićete sve kolačiće.
      Cookie podešavanjaSLAŽEM SEODBIJAM
      Manage consent

      Kolačići

      Kolačiće upotrebljavamo kako bi ova web stranica radila pravilno. Kolačići pomažu da obezbedimo personalizovano iskustvo i relevantne reklame za vas, a web analitiku za nas. Kako biste saznali više, pogledajte listu kolačića i pogledajte našu Polisu kolačića.
      Neophodni
      Always Enabled

      Ovi su kolačići neophodni za funkcionisanje veb-sajta i ne mogu se isključiti u našim sistemima. Oni su obično postavljeni kao odgovor na tvoje aktivnosti na sajtu, koje predstavljaju zahtev za usluge kao što su podešavanje privatnosti, prijavljivanje ili popunjavanje obrazaca. Svoj pretraživač možeš da podesiš tako da blokira ove kolačiće ili te upozori na njih, ali u tom slučaju neki delovi sajta neće raditi. Ovi kolačići ne čuvaju nikakve podatke koji bi omogućili ličnu identifikaciju.

      Opcioni

      Analitika Ovi nam kolačići omogućavaju da beležimo broj poseta i analiziramo izvore prometa kako bismo izmerili i unapredili funkcionisanje našeg sajta. Oni nam pomažu da saznamo koje su stranice najpopularnije, a koje najmanje popularne i vidimo kako se posetioci kreću po sajtu. Svi podaci koje prikupljaju ovi kolačići ostaju anonimni. Ako ne želiš da daš dozvolu za ove kolačiće, nećemo znati kada posećuješ naš sajt i nećemo moći da pratimo njegovo funkcionisanje. Reklama i društvene mreže Ove kolačiće kroz naš veb-sajt mogu da postave i partnerski sajtovi za oglašavanje. Ove kompanije mogu ih koristiti radi kreiranja profila tvojih interesovanja i prikazivanja relevantnih reklama na drugim sajtovima. Oni ne pohranjuju direktno lične podatke, ali rade tako što jedinstveno identifikuju tvoj pretraživač i uređaj. Ako ne dozvoliš ove kolačiće, nećeš iskusiti naše ciljane reklame na drugim veb-lokacijama.

       

       

      • Homepage
      • Services and solutions
      • Career at Saga
        ▼
        • Internship
      • Digital transformation
      • Our story
        ▼
        • CSR
      • News & Blogs
      • Contact
      • sr
      • en