Industries

Industries we are working for

From an industry perspective, AI is a tool for business transformation. AI can transform virtually every industry. These are some common areas where AI can bring impact such as improving customer experience, saving cost, reaching more and relevant prospects, creating novel extensions to your offering, taking proactive measures to protect business and many more.

Industry Use Cases

Banking & Finance

ATM monitoring

Product:

  • Dark Data Analysis

Benefits:

  • Better surveillance
  • Proactive safety and security

ATM monitoring

Wrongdoing in the ATM booths are a major concern for all banks. Since there is a camera in every ATM, a Dark Data Analysis system can detect the possibilities of mischief.

KYC validation

Product:

  • Cognitive Process Automation

Benefits:

  • Less manpower requirement
  • Quicker processing

KYC validation

Documents such as Passport, Pan Card, Aadhar Card etc. need to be validated for various purposes including KYC. CPA can read and validate the documents. The important values can be extracted for further use.

Email automation

Product:

  • Cognitive Process Automation

Benefits:

  • Shorter response time
  • Faster approvals

Email automation

Customers are continuously writing emails to their banks for updating their information. They also query about their loans and ask for various statements over email. Email automation helps banks and financial institutes to respond to their customers faster.

Handwritten form reading

Product:

  • Cognitive Process Automation

Benefits:

  • Reduced errors
  • Less manpower requirement

Handwritten form reading

Banks receive thousands of applications every day, most of them are handwritten. While manual processing is slow and prone to errors, using CPA can save time and cost.

Healthcare

Clinical report reading

Product:

  • Dark Data Analysis

Benefits:

  • Innovative extensions to offerings

Clinical report reading

Most of the critical clinical data is contained in text such as reports, notes and summaries. Dark Data Analysis is helpful in converting the text into structured data, making it available for detailed analysis by clinicians and administrators.

Image & waveform analysis

Product:

  • Dark Data Analysis

Benefits:

  • Innovative extensions to offerings

Image & waveform analysis

Healthcare institutes produce a large number of images and waveforms that are used for diagnosis. Dark Data Analysis can pull out important information that can help doctors in narrowing down diagnostic possibilities.

Retail

Customer behaviour in store

Product:

  • Dark Data Analysis

Benefits:

  • Understand customer profile
  • Insights about buying behaviour & patterns

Customer behaviour in store

It is very important for store owners to find out how the customers in the stores are behaving. It helps them to plan the store and merchandise better. Dark Data Analysis on CCTV videos feeds produces this meaningful and actionable data.

Demand forecasting

Product:

  • Predictive Analytics

Benefits:

  • Understanding repeat customers

Demand forecasting

What will the customer buy next week? This is the question foremost in any retailer’s mind. Machine Learning models can help to predict the demand the store will experience in near future.

Invoice & PO automation

Product:

  • Cognitive Process Automation

Benefits:

  • Accurate data
  • Lesser manpower

Invoice & PO automation

Automation in supply chain means efficiency increase for the entire retail brand. In combination with demand forecasting, the store is able to put the right thing at the right place at the right time.

Manufacturing

People tracking

Product:

  • Dark Data Analysis

Benefits:

  • Improved productivity

People tracking

Using Dark Data Analysis to identify staff and other people can mean a lot to a factory. It helps the supervisors to ensure that correct people are there where they are needed the most. It also automates attendance which is the pain area due to the last minute rush at the entry in the morning.

Invoice automation

Product:

  • Cognitive Process Automation

Benefits:

  • Accurate data
  • Lesser manpower

Invoice automation

A plant needs a lot of material and receives a large number of bills. Automating the process of bill entry means not only time saved, but a better response to your vendors.

WIP counting

Product:

  • Dark Data Analysis

Benefits:

  • Reduced production time
  • Lean manufacturing
  • Reduced wastage

WIP counting

Efficient manufacturing requires that the work in progress inventory should be tightly controlled. In practice, it is difficult to count it. Dark Data Analysis can help to unearth this information and can lead to lean manufacturing.

Quality control inspection

Product:

  • Dark Data Analysis

Benefits:

  • Better quality management

Quality control inspection

Rather than waiting for the goods to reach inspection area, they can be inspected in place using Dark Data Analysis. This saves a lot of time and reduces wastage.

Publishing

Automation in copy-editing

Product:

  • Cognitive Process Automation

Benefits:

  • Better accuracy in manuscripts
  • Reduced TAT

Automation in Copy-editing

Copy-editing is a cumbersome task which requires care & attention. While a human touch is always required for editing, many items can be automated using cognitive techniques such as NLP. This goes a long way in reducing time required in editing.

Logistics

KYC validation

Product:

  • Cognitive Process Automation

Benefits:

  • Less manpower requirement
  • Quicker processing

KYC validation

Documents such as Passport, Pan Card, Aadhar Card etc. need to be validated for various purposes including KYC. CPA can read and validate the documents. The important values can be extracted for further use.

Energy

Identifying dusty solar panel

Product:

  • Dark Data Analysis

Benefits:

  • Improved energy production
  • Lesser water consumption

Identifying dusty solar panel

Dust on PV panels is a major reason for reduction in energy generation. Since the rooftop plants are distributed all over the region, it requires Dark Data Analysis to detect the dust and notify the cleaners.

Predicting inverter failure

Product:

  • Predictive Analytics

Benefits:

  • Preventive maintenance thus lesser breakdowns
  • Improved energy production

Predicting inverter failure

Failures of electrical components such as inverter means loss to the energy company or the consumer. A machine learning model built from past data can help to predict possibilities of failures, enabling preventive measures.