Proxzar

Proxzar is an augmented learning platform powered by Artificial Intelligence. Proxzar helps in connecting experts from various fields on a single platform.

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AI In Supply Chain Management - Proxzar

Using AI in supply chain management, organizations can address these challenges, apart from automating other critical processes in SCM.

AI in supply chain management

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Importance of Natural Language Processing for Businesses - Proxzar

Using NLP, where language is used to understand customer needs, businesses can automate the process of drawing conclusions from data and predict. - Proxzar

#nlp #naturallanguageprocessing #nlpbusiness #ai #nli

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AI in forecasting outcomes from historical data

Artificial intelligence can analyze past historical data and predict for the future, like:

which prospects are likely to convert into a sales funnel

which prospects are likely to target next

which new prospects are likely to be interested in buying the products or services

The above information is most useful for the sales team to take the next steps in their process.

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AI helps in enhancing the quality of time spent on leads

Without Artificial Intelligence, the sales team is more involved in manual work like data entry than spending time on leads. Artificial intelligence can automate this manual work and the sales team can spend quality time on lead conversion.

Instead of a sales team spending hours on researching leads, Artificial Intelligence can help in generating quality leads by analyzing the organization’s website past and current data and provide information on customers who are likely to convert into leads

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AI helps in improving engagement with customers

Using Artificial Intelligence in social media, the news feeds are more personalized according to the customer’s interests and preferences.

Big companies are getting many mentions on social media platforms like Facebook, Twitter, LinkedIn, and Pinterest. However, handling these thousands of daily mentions on social media platforms is not possible for the sales team. In this case, Artificial Intelligence can help the sales team in segregating the mentions, like:

which mentions are accurate and likely to convert, or

which mentions are fake and not likely to convert

The sales team can use the above information and engage more with quality and accurate customers in social media channels and convert them into leads. Moreover, it will save time that was previously wasted on engaging with unrelated and fake customers.

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AI helps in targeting the right customers

If the sales team doesn’t find the right prospects, they can not be converted into customers. Artificial Intelligence can help the sales team in identifying the right prospects quickly and thereby, make good conversions.

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AI helps in predicting customer behavior

Every industry needs to know the customer’s wants and needs. This is a basic strategy for an organization to develop its products or services. To understand the needs of the customer, customer behavior is the most important factor for any marketing strategy.

Artificial Intelligence can predict customer behavior by taking factors like demographics, age, location, and sentiment analysis to generate useful insights.

The sales team can use the above information to pitch their sales to the customers.

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AI helps the sales team to schedule meetings at the right time

Traditionally, the sales team has to spend more time scheduling meetings like calling and asking the clients for available time to meet. Instead of calling and asking every client, Artificial Intelligence can help the sales team to automate scheduled meetings at the right available time of the client.

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Price optimization

Pricing decisions are essential for every company. Good pricing decisions generate profits. Artificial Intelligence can help in building a pricing strategy by analyzing historical and competitive data.

For example, e-commerce sites want to generate more sales during the festival season. Artificial intelligence helps in pricing strategy based on past customer preferred pricing options, offers. Setting the right price and offers could generate more sales for the e-commerce site. Moreover, AI helps in sending automated emails with offers to the customers and encourages them to purchase the products.

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Targeted customer advertising

Artificial Intelligence can analyze huge amounts of online advertising data. Based on this analysis Artificial Intelligence can predict the performance of the ad. Artificial Intelligence can also deliver more personalized ads to target customers. 

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Content marketing

Artificial Intelligence can also help in content marketing. AI can predict content performance, like which content can perform more and which content might under-perform. AI can help in the content recommendation or content personalization. The content recommendation using AI shows the suggested content based on the user’s past visits and behavioral analysis

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AI in predictive analytics

Artificial intelligence can predict future outcomes. These outcomes can help marketers in effectively planning their marketing strategies. 

To do data predictions, Artificial Intelligence applications are needed to get past consumer behavioral data like their habits, preferences or interests and shopping history on the business’s e-commerce site. 

Based on this information, Machine Learning applications can analyze the products and make future predictions for e-commerce stores.

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AI and ML in the prediction of customer lifetime value

The marketers are getting challenged in segmenting customers, analyzing customer churn, and predicting customer lifetime value. The businesses have a huge amount of data collected from various sources like website visits, email campaigns, social media channels, referral sites, and online ads, etc.. The marketers are getting challenged with these huge volumes of data to analyze. In such scenarios, Machine learning and Artificial intelligence applications can help marketers in analyzing this huge amount of data and thereafter, predicting future outcomes. Marketers can use this information to do effective marketing. 

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AI and ML in the education sector

Virtual learning is a new trend in online education. Artificial intelligence can automate administrative tasks like grading, providing responses to the queries, and evaluating homework of students. 

Digital content is going to play a major role in the education sector than traditional textbooks like the electronic curriculum. Artificial Intelligence and Machine learning techniques can help in providing digital content for the students. 

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AI and ML in image recognition

Image recognition using Artificial Intelligence can detect objects, classify and recognize them for later use.

Image detection is the process of scanning the images to identify the right object and also identify fake images.

Artificial Intelligence and Machine learning applications can also help in an image search. Today it is possible to capture images and do an image search in the e-commerce store instead of a keyword search.

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AI and ML in predictive analytics

Machine learning algorithms can collect data from past customer behavior and predict future outcomes.

ML in predictive analytics for digital commerce: Using machine learning applications in digital commerce, organizations can predict customer churn, which products customers are clicking/navigating, and identifying fraudulent transactions, etc..

ML in predictive analytics for marketing: Using machine learning applications in B2B, organizations can predict the accurate leads who are likely to convert into sales.

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7 Ways AI Can Help Sales Teams Be More Effective

There are several ways AI can help sales teams. In this article we have identified 7 important ways to make sales teams be more effective. - Proxzar

Artificial intelligence could help the sales team in automating critical tasks and thereby enhancing their productivity.