AI Development

The buildup of AI-driven products & solutions, automation, and advanced analytics, is not a tough nut to crack for us!

Sentiment Analysis

Finding out what if a particular text has a positive or negative sentiment.

Survey Research | Social Media Analyses | Tracking Psychological Trends

Emotion Analysis/Detection

Emotion analysis deep dives into sentiment analysis and gives us more context into it by further breaking the sentiment down in anger, happiness, sadness, etc.

Job Interviews | Testing for Video Games | Market Research

Duplicate Identification or String Matching

Finding duplicate records (string) using different types of fuzzy string matching techniques. This can be used to find out similar records or eliminate duplicates from a database.

Cybersecurity Companies | Banks & Financial Institutions 

Customer Lifetime Value Modelling

This helps in determining and ranking customers who would provide the most value to an online retail business in their lifetime(who would spend the most amount of the money in their lifetime on the website). Once the lifetime value of all customers is identified the marketing efforts can be focused and fine-tuned for every customer in such a way that it adds more value to the business. If a customer who is going to spend a lot is given some more discount or made alert of new products, it is highly likely that they are going to spend even more.

Retail | Advertising 

Churn Modelling

Churn Modelling helps to identify which customers are likely to stop buying or stop engaging with your business, which can be used in targeted marketing to keep them from stopping engaging.

E-commerce | Service Providing 

Dynamic Pricing

This help is pricing items based on multiple factors such as the interest of the customer in the particular item, demand at the time, location of the customer, etc.

E-commerce

Customer Segmentation

These clusters customers into different sets based on buying behavior, demographics so that companies can roll out highly personalized marketing campaigns that boost sales more than the same generalized campaigns for all customers.

E-commerce

Recommendation Engines

Develop custom algorithms to recommend products to customers. Customers are there to buy as long as they find the right product and it is the job of the algorithm to recommend them the right products that they are highly likely to buy.

E-commerce | E-services

Search Engines

Online commerce websites, as well as other services, need their customers to be able to search for the product the customer wants to buy. That’s how search engines help. Without a good search engine, a customer won’t find the necessary product if it’s listed on the website, resulting in a loss for the business.

E-commerce | E-services

Identifying if a change in design, price, etc is bringing in more customers or less

Whenever there is a major change in a website design-wise or price-wise, it’s very crucial that the customers like the new thing better than that last one otherwise there is no point. So, we can use statistical methods to identify if the new version is more successful than the last one.

Any kind of classification or regression problem

Whether it is about predicting a category of something or predicting the continuous value of something, we can do it.

  • Sentiment Analysis

    Finding out what if a particular text has a positive or negative sentiment.

     

    Survey Research | Social Media Analyses | Tracking Psychological Trends  


  • Emotion Analysis/Detection

    Emotion analysis deep dives into sentiment analysis and gives us more context into it by further breaking the sentiment down in anger, happiness, sadness, etc.

     

    Job Interviews | Testing for Video Games | Market Research 

     

  • Duplicate Identification or String Matching

    Finding duplicate records (string) using different types of fuzzy string matching techniques. This can be used to find out similar records or eliminate duplicates from a database.

     

    Cybersecurity Companies | Banks & Financial Institutions 

     

  • Customer Lifetime Value Modelling

    This helps in determining and ranking customers who would provide the most value to an online retail business in their lifetime(who would spend the most amount of the money in their lifetime on the website). Once the lifetime value of all customers is identified the marketing efforts can be focused and fine-tuned for every customer in such a way that it adds more value to the business. If a customer who is going to spend a lot is given some more discount or made alert of new products, it is highly likely that they are going to spend even more.

     

    Retail | Advertising 

  • Churn Modelling

    Churn Modelling helps to identify which customers are likely to stop buying or stop engaging with your business, which can be used in targeted marketing to keep them from stopping engaging

     

    E-commerce | Service Providing 

  • Dynamic Pricing

    This help is pricing items based on multiple factors such as the interest of the customer in the particular item, demand at the time, location of the customer, etc.

     

    E-commerce

  • Customer Segmentation

    These clusters customers into different sets based on buying behavior, demographics so that companies can roll out highly personalized marketing campaigns that boost sales more than the same generalized campaigns for all customers.

     

    E-commerce

  • Recommendation Engines

    Develop custom algorithms to recommend products to customers. Customers are there to buy as long as they find the right product and it is the job of the algorithm to recommend them the right products that they are highly likely to buy.

     

    E-commerce | E-services

  • Search Engines

    Online commerce websites, as well as other services, need their customers to be able to search for the product the customer wants to buy. That's how search engines help. Without a good search engine, a customer won’t find the necessary product if it's listed on the website, resulting in a loss for the business.

     

    E-commerce | E-services

  • Identifying if a change in design, price, etc is bringing in more customers or less

    Whenever there is a major change in a website design-wise or price-wise, it's very crucial that the customers like the new thing better than that last one otherwise there is no point. So, we can use statistical methods to identify if the new version is more successful than the last one.

  • Any kind of classification or regression problem

    Whether it is about predicting a category of something or predicting the continuous value of something, we can do it.

Along with offering an A to Z research, product development, and project management, we are also working on the Body leasing principle to undergo client supervision and processes. Reach out!

Let's kickstart your digital Endeavour

Tell us more about the project!

Let's kickstart your digital Endeavour

Tell us more about the project!

This website uses cookies to ensure you get the best experience on our website.