Author: Proxzar Info

AI In Supply Chain Management

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.

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Using AI driven natural language search in e-commerce industry

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.

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Limitations of NLP in building Question/Answering systems

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?

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AI in pharmaceutical industry

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.

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AI and ML Applications In The Automobile Industry

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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