InfoNgen AI-Powered Text Analysis Software
InfoNgen
Solution Overview
InfoNgen is an AI-based text analytics software. It leverages the power of NLP and machine learning to help small, medium, and large businesses search, collect and analyze updates critical to staying competitive and driving effective marketing decisions.
This enterprise search software pulls text from more than 200,000 sources including public, internal and social media sites into a single, unified view. This allows users to see hidden patterns, trends and anomalies with its proprietary tools for text analytics and sentiment analysis. Through its powerful intelligent search capabilities, text analytics features, customizable delivery options and prebuilt industry taxonomies, InfoNgen gives businesses a resource to find, monitor, and compare information they need to know.
With InfoNgen’s knowledge management system, text mining, content aggregation, newsletter creation and content clustering have never been so easy. It gives more time for analyzing instead of researching.
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Benefits
Brand & Competitive Intelligence Services
Identify market opportunities and industry trends
Enterprise Search Software
Seamlessly connect and search your enterprise’s structured and unstructured data
Market Intelligence Software & Current Awareness
Monitor the latest updates about your brand, customers and competitors
Customer Feedback & Inquiry Intelligence
Gain valuable insight into what customers really think about your products
Regulatory Compliance & Risk Avoidance
Keep track of emerging regulations and reduce the cost of compliance issues
Counterfeit & Fraud Detection
Find, monitor and take action on possible imitators and counterfeiters
Features
- Text analytics: InfoNgen extracts high-quality, actionable insights from any form of text to enable robust search, summarize data, analyze sentiment and explain trends as they occur
- Sentiment analysis: Using a highly sophisticated sentiment index, InfoNgen identifies how people really feel about your products, services, marketing campaigns or even competitors
- Tagging engine: Helping you further organize the insights you discover automatically, InfoNgen comes ready to use with 600,000+ tags, topics and entities included
- Plug & Play ingestion: In addition to the 200,000+ public sources InfoNgen delivers updates and news monitoring on a day-to-day basis. You can integrate any number of private data sources or content repositories unique to your enterprise
- Delivery options: Organize, access and share your discoveries via multiple content delivery options, including email alerts, newsletters, widgets, RSS feeds, APIs and many more
- Deep domain expertise: InfoNgen comes with prebuilt taxonomies for your industry
Use Cases
Use Case for Financial Industry
Problem statement
- Limited and poor search capabilities
- Multiple outdated internal systems
- The inability to provide personalized real-time research content delivery
Solution proposed
- Text analytics with topic/concept extraction, company sentiment analysis, summarization, content deduplication and other features tailored specifically to broker research
- Advanced search capabilities closely integrated with internal services
- Automatic alerts and company reports combining internal research and third-party content
- Personalized content presentation and alert delivery
Achieved results
- Substantially increased operational efficiency and streamlined financial research workflows for portfolio managers
- Reduced research acquisition time and effort by implementing personalized alerts and other content delivery options, including newsletters to summarize research
- Critically improved fund performance by introducing innovative technologies like text analytics and sentiment analysis to effectively identify equities for portfolios
- Unified and replaced four legacy internal systems with a virtualized, AWS-based platform to do all the above
Use Case for Retail & CPG
Problem statement
- The majority of customers compare prices online before visiting a retail store to decide where to shop and what to buy
- Retail companies search for a better way to ensure product pricing is continuously competitive to optimize pricing and promotions to coincide with market expectations
Solution proposed
- Nonstop scraping and monitoring of various product properties across multiple eCommerce websites (brand, reseller, competitor)
- Monitoring and extraction of customer sentiment related to price and product characteristics found in user-generated reviews
- Collecting data from multiple websites in different geographies
Achieved results
The text analytics software offers retailers the ability to improve market awareness and develop an informed pricing policy based on valuable insights generated into product performance. It can also be used to discover pricing violations, as well as market opportunities for new product and price offerings.
Use Case for Retail & CPG
Problem statement
Retail and CPG brands need a well-thought-out strategy for how they deal with the volume and velocity of customer reviews and other forms of feedback, including social media posts and phone calls
Solution proposed
- Using up-to-the-second text analytics, brands can monitor posts across all platforms for words and phrases that are indicative of unfavorable sentiment, identify high-priority posts and reply to them in a timely manner. Enterprises can also use text analytics to measure share of voice, analyze sentiment and emotion, and qualify buying intent based on consumers’ social posts.
- Using a text analytics platform to monitor review sites and analyze content offers a solution to automate the process of determining when and how to respond to reviews. A text analytics engine can also be used to assess customer sentiment and pinpoint areas for improvement in both the response to the customer as well as potential product improvements.
- Using voice-to-text transcriptions, enterprises can feed their data into a text analytics engine to generate actionable insights based on what’s discussed over recorded lines. Retailers can then use these insights to make decisions on products, pricing, promotions and customer service policy
Achieved results
By enabling search and text analytics on content from the above sources, enterprises can tap into the voice of the customer and respond with precision. Adding sentiment analysis to the mix can help identify what a brand is doing well and, perhaps more importantly, where there’s significant room for improvement. The data collected can also be used to inform and serve targeted marketing campaigns to consumers who display intent to purchase in their communications
Additional Information
Awards
Hot Technology & Solution of the Year
From Silicon Valley, the leading technology research and advisory guide honors IT innovations from around the world, now in its 14th year
Shortlisted for Best Innovation in NLP
Global awards championing the transformational innovations in artificial intelligence as businesses across industries move towards productivity and automationQuestions & Answers
What are your hosting options?
Posted on April 17, 2020 by Tyrone Mendez
What languages do you support?
Posted on February 9, 2020 by Tod
How do you deliver content to end users?
Posted on December 3, 2019 by Irvin Norman
What sources are available out of the box?
Posted on November 15, 2019 by Arlene Estrada
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