Last Updated on February 16, 2021
Salesforce artificial intelligence is one of the trending topics in the field of sales and marketing, and it has undergone a series of changes. Salesforce does not need any introduction, considering the fact that it is one of the best CRM service providers in the industry. The industry has grown in leaps and bounds and post the inception of automation; the industry witnessed enormous growth. Once again, the Salesforce industry is on the verge to transform, and this time, it is the technology of Artificial Intelligence.
Data scientists undertook the initiative to blend AI in the domain of Salesforce and launched its new tech product, Salesforce Einstein. Layering AI over the Salesforce platform has opened doors for ventures to step with Salesforce growing much more than ever.
What Is Salesforce Einstein?
Where Business AI is all about embedding Deep Learning and machine-driven capabilities which works to analyze data and then predict business functions to keep the employees informed thereby improving the process of decision making, Salesforce Einstein AI is a bit different.
And this difference is in the sense that all of the above-said functionalities are put together in a single helper which is given the name, Einstein. In other words, Salesforce Einstein performs data analysis, gain significant insights, and feed this to the professionals so that they can make informed decisions.
So, we are pretty clear on the idea as to what Salesforce Einstein ideally means but before we move ahead with the different deployments and benefits laid in SSM, (Sales, Service, and Marketing), let’s have a quick look at the basic principle behind the discovery vision and discovery insights of the Salesforce Einstein analytics.
Working Model – Salesforce Einstein
Salesforce Einstein works by gathering historical data, analyzing them and based on the insights gained by salesforce Einstein analytics, the model predicts the possibility of a lead making a purchase and recommend reps to track actions proactively. However, the model needs nearly 1000 leads and a minimum of 120 instances where actions led to results – Meaning that the model necessitates the presence of enormous data sets for accurate predictions. So, in order to use the model, Salesforce companies need to have such data inflows.
What makes the Einstein model the perfect fit is it’s the capability of continuously working on data. In other words, the model does not work on the data prefer but keeps refining results based on data inflows. This enhances the overall accuracy leading to better results.
Effects of Salesforce Einstein
Salesforce Einstein has come a long way and emerged a clear winner for the marketers. From predicting engagement to pitching mails, tracking social media and assisting teams, Einstein AI is working efficiently. Just like lead scoring, Einstein has the feature named as Engagement scoring. This means that the model would keep track of the preferences and choices of each customer, analyze them and then predict which customer is more likely to initiate a purchase in the near future and on what aspects. This further help the marketers to shift their focus towards the potential lot and pitch them customized emails luring to make a purchase.
Another advantage of Salesforce AI in marketing is its ability to track social media post. The model has been designed in such a way that it can sort of the different social media post having the company’s name and then display the ones that incorporate issues. Further, a team is assigned to the filtered post to address the issues and provide a significant solution. So, the current-gen marketers need not stick to the paper and pen model of gathering feedbacks or approaching users to boost their company’s revenue. This is the reason; IBM is Salesforce’s preferred cloud service provider. IBM Salesforce is preferred customer engagement platform.
Marketing is a way of gaining traffic but until and unless your leads turn to potential customers, all efforts fall in vain. Here again, Einstein works to help the Salesforce industry propel. Similar to lead scoring and engagement scoring, it has another model of Opportunity scoring. Meaning whether a particular opportunity ends up in a deal or not. Based on the customer’s response and interest, the Salesforce Einstein can effectively stress on which opportunities are about to close and so the sales reps can further press more.
Additionally, the model has the ability to track which customers have a prolonged relationship with your firm and then suggest you give them added discounts as a token of appreciation for their re-engagement. This helps build a relationship with clients and affect the business in the long run. The Salesforce Einstein model has this unique feature of scanning through the details of the organization you are in business with. It keeps an eye on external data, and if it senses a third-party merger or acquisition, it would warn you about the same.
On the service level, Einstein has the capability of knowing about the customer’s wait times, agent availabilities, and further predict the level of satisfaction a customer has. This is then shared with the service managers to keep abreast on the customer’s expectations and problems, highlighting the need to be more prompt.
Additionally, the Salesforce Einstein can act as an intermediator between customers and service agents by redirecting calls to the appropriate one. Einstein can take up calls, know about the problem, and then transfer the call to a person who is competent enough to address the said issue. While shifting, it also informs the agent about the history of the user and the corresponding issue to be dealt with.
Deployment Models of Salesforce Einstein
Having said all about the impact of Salesforce Einstein at different levels, let’s have a look at what are the areas that have deployed Salesforce Einstein apart from the ones mentioned above.
- Analytics Cloud Einstein
- IoT Cloud Einstein
- Merging IoT Cloud with PredictionIO gives developers the ease to connect logic with data.
- Integrating IoT Cloud with AI algorithm paved way predictive scoring, an algorithm that works wonders for Salesforce
- IoT devices connected with AI algorithms predict on the next efficient move so as to convert leads to opportunities.
Whether you are dealing with sales, service or marketing, finding data and working on them to outlay predictions is most important. And this is exactly what analytics Cloud Einstein does. It helps in finding hidden insights within the data by analyzing variable combinations and is based on real-time information.
IoT has led to the creation of connectedness. Nearly everything around us is connected, whether it’s your home or your vehicle, smartness has its wings spread all over. Recognizing the potential of IoT technology, scientists thought of integrating IoT on the Salesforce AI platform, giving customers the freedom to keep track of innovation while blending IoT data on Salesforce domain.
Another excellent deployment of Salesforce Einstein is the app, Cloud Einstein. Salesforce Einstein helps developers build intelligent apps which can further help in predictive scoring. Such predictive features could either be fed previously or scanned from scratch so as to help classify, segment or recommend actions.
With each passing day, new and new products are being launched by Salesforce. Last year saw the release of Einstein Prediction Builder and Einstein Bots. Each of which has been tailored to map the growing needs of the industry and at the same time, help customers gain a desired level of satisfaction. Their tons of advantages drawn out of the Salesforce AI and sooner the Salesforce industry would take over the AI technology enhancing and improving their services across all levels.
Earlier, Salesforce was one of the solution providers for the CRM industry, but today, whether you consider innovation, growth, or foresight, Salesforce Einstein is the sole option for the CRM service providers. No wonder, Salesforce Einstein is dominating all technological spheres.
If you want to leverage full-cycle Salesforce consulting services to support your business needs and uncover the true potential of Salesforce, then get in touch with us to seize the new opportunities, stay ahead of the disruption curve and make smarter business decisions faster.