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Tuesday, Nov 19, 2019

RedLotus’ patented NeuralBank™ AI technology to redefine customer automation

The patented A.I. technology allows brands and enterprises to automate their businesses with rapid pattern identification and win more customers.

brand-post Updated: Nov 04, 2019 17:34 IST

Global entrepreneur Gurbaksh Chahal
Global entrepreneur Gurbaksh Chahal (Red Lotus)
         

“In today’s post-AI world, data is the fuel for every business. Companies will need to create intelligent personalized experiences to serve every customer. Through our patented A.I. data platform, we allow brands and enterprises to automate their businesses with rapid pattern identification and win more customers.” says Gurbaksh Chahal, Founder, RedLotus

As the growth of online usage surges, the explosion of data continues while decline of the signal to noise ratio accelerates. The growth of social networks as well as emerging 5G and IoT technologies will only result in making data more disparate. RedLotus’ NeuralBank™ patented A.I. technology and patent pending InfluenceGraph™ deciphers key data signals with rapid pattern identification to automate your business and achieve real business outcomes.

Global entrepreneur Gurbaksh Chahal and his team at RedLotus are working on a major pain point for companies to discover predictive customer hero moments. Customer journey analysis is usually studied by companies once the customer completes their decision-making process. However, with RedLotus’ NeuralBank™ patented AI technology, companies can leverage the power of data while the customer is making a decision and intervene through seamless automation. This first-of-its-kind platform empowers companies in the literal sense, where they no longer have to wait to produce personalized results.

How NeuralBank Organizes Your Customer Data

Hindustantimes

Identity Enrichment

NeuralBank can help enrich user identity by consolidating off-platform behavior by matching third-party data (app usage, website visited) with owned user data to build a more robust customer profile. User identity can also be enriched by analyzing usage patterns of the customers platforms.

Marketing Consolidation

With differing tools being used for different channels, getting a single user view is difficult. Using NeuralBank can help consolidate all marketing channel data into one unified user view to show how marketing ROI is performing, removing the silos from the differing tools.

Personalization

Once customer habits have been learned via NeuralBank, you can personalize the user experience for the end user to cross-sell and upsell customer experiences. If a customer is found to use the investment section of a bank’s website heavily, you can make that section front and center upon login.

BI and Analytics

By providing a data repository that is cleaned of PII, NeuralBank allows safe analysis of user customer behavior that is compliant with privacy regulations. Use of AI and ML can also help drive insights by identifying hidden signals in the data.

Product Development / Product Path Optimization

Brands often have multiple products that users interact with. By using NeuralBank, you will be able to see how different user segments interact with their products (web, app, phone, SMS, etc.) and this can help drive feature-drive product development and optimize product path utilization.

Anomalous Behavior (Fraud) Detection

Once customer habits have been learned via NeuralBank, you can personalize the user experience for the end user. By combining data from various data points, you can build a good idea of what is standard behavior for a user. This can help when detecting cases of fraud.

Automate your business with A.I.

If we were to analyze the impact of technology over the years, we can safely assume that change is the only constant. With an eye toward the future, companies are trying to leverage Machine Learning and Artificial Intelligence. However, the transition from existing software or analytical tools to highly automated AI systems can be cumbersome owing to two major factors – reactive analytics and human intervention. These factors lead to a shortfall in data analysis and automation.

The key for companies that want to thrive in a competitive, customer-focused market is to embrace AI that can process data in real-time to give tangible results which add value to their brand and customer base immediately. Through an A.I. and Machine Learning environment, customer data can eventually allow a business to be fully automated and begin to showcase predictive outcomes for a brand.

Customer mindsets are constantly evolving and so is the manner in which data is consumed, which is why it becomes extremely important to evaluate data against certain key performance indicators in order to create intelligent personalized experiences. In a time when customer loyalty is fickle and experimentation is at an all-time high, brands only stand to gain by understanding their data and customers in real-time, allowing them to deliver real business outcomes in a single-go.

Disclaimer: This is a company press release. No HT Group journalist is involved in the creation of this content.