Blog – Page 5 – Proxzar Labs

March 9, 2024 Artificial Intelligence praveen.rayal

Using AI in fuzzy front-end stage of an innovation process

This article might be more meaningful to product leaders working in organizations that have implemented a structured process of innovation (NPD) in some format – like a Stage/Gate or a process that captures ideas from employees and channels them through a structured process for evaluation/monitoring.

March 7, 2024 Customer Service, Natural Language Interface praveen.rayal

3 Use Cases Of Artificial Intelligence For Enhanced Customer Experience

Customer Engagement is the key to a brand’s success and can be only achieved when brands understand the customer needs, interests and respond to them in real-time through right resources and using right technology.

February 25, 2024 Artificial Intelligence, Marketing praveen.rayal

What sales operations could be automated using AI

Do you know that an average sales team spends just 15 hours for selling out of their 40 hours per week schedule? A research by Salesforce says “25% of a sales representative’s week is dedicated to large volumes of administrative tasks”. This opens up an immense possibility where AI can be used to automate some of the Sales operations.

February 22, 2024 Supply Chain praveen.rayal

AI In Supply Chain Management

The top most challenges in supply chain management are demand forecasting and warehouse optimization. And, by using AI in supply chain management, organizations can address these challenges, apart from automating other critical processes in SCM. SCM is an overarching process in any organization that manufactures and sells assorted products. It starts with procuring raw material from suppliers/ vendors, converting the raw material into finished products through manufacturing processes, maintaining working inventory as the respective processes demand, moving the finished products through geographically scattered distribution channels or retail locations so as to finally reach the end customers.

February 17, 2024 E-commerce, Natural Language Interface, Natural language search praveen.rayal

Using AI driven natural language search in e-commerce industry

Searching has changed over years. Today, people no longer type generic keywords. They know that if they want fast and correct results, they need to be specific in what they want and type precise terms when searching. Usage of “Me’ and “I” have increased as they provide more relevant and personal content. Personalized searches have become more as personal advisors and trusted partners for the users as consumers believe that these advisors understand better and answer all their queries with right answer at right time.

February 9, 2024 Natural Language Interface, Natural language search praveen.rayal

Limitations of NLP in building Question/Answering systems

When people communicate with each other, they have a specific language, an expression and an emotional feeling towards each other that allows them to speak and understand. Words play a crucial role in communication and have to be used and understood correctly. Customers seek answers for various queries, and in doing so, they expect businesses to respond as quickly as possible and with right solutions. But can a human work 24/7 and respond to millions of queries pouring in from different parts of the globe in multiple languages?

January 31, 2024 Healthcare praveen.rayal

AI in pharmaceutical industry

It takes around $2.6 billion for a drug to get officially authorized and bring into the market for public consumption. Today, pharma companies are investing in tech companies and bringing in AI-based applications for better drug development. Initially, AI in pharmaceutical industry was applied in the areas of drug discovery for predicting molecule-target bonding, to identify biomarkers, to discover new drug indications, clinical trials and to improve manufacturing efficiencies.

January 21, 2024 Natural Language Interface praveen.rayal

How applications that implement a Natural Language Interface can help in effective gathering and analysis of data

Every time you ask a virtual assistant like, Google, Siri, Cortana, Alexa and so on to give suggestions, or ask directions, NLP with Deep Learning runs behind the virtual assistant or the app to give you the right answer or to give you the exact information you are looking for.

January 15, 2024 Automotive, Natural Language Interface praveen.rayal

Natural Language Interface (NLI) implementation in Automotive Retail and Aftermarket

This article is about the current NLI implementations in Automotive Retail industry vertical, which mostly comprises of Auto Dealers.

January 8, 2024 Automotive praveen.rayal

AI and ML Applications In The Automobile Industry

Artificial Intelligence and Machine Learning applications are transforming several sectors. Few months ago, we’ve published an article with insights gained from McKinsey study of Automobile after-market in 2030 and another article that talks of a need for NLI implementations like Cox’s Nexi virtual assistant for Automotive dealers. AI and ML applications in the automotive industry spans across the supply-chain and after-market services.

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