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The used car market has become one of the fastest-growing segments of the global automotive industry. Rising vehicle prices, economic uncertainties, and a shift in consumer preference toward affordable mobility solutions have fueled demand for pre-owned vehicles. Many buyers now view used cars as a practical option that combines cost efficiency with reliability.

Technological advancements in vehicle history tracking, online car marketplaces, and certified pre-owned programs have significantly improved transparency and buyer confidence. Consumers can now easily access information about mileage, accident history, and ownership records before making a purchase.

The COVID-19 pandemic significantly influenced the contactless smart card market by accelerating the adoption of contactless payment and identification solutions globally. The Contactless Smart Card Market size is projected to grow USD 48.7 Billion by 2032, exhibiting a CAGR of 15.35% during the forecast period 2024 - 2032. As concerns over virus transmission grew, consumers and businesses increasingly favored touch-free transaction methods, pushing contactless smart cards into the spotlight. Retailers, public transportation systems, and healthcare providers rapidly embraced these cards to facilitate hygienic, efficient, and secure interactions, contributing to a notable surge in demand during the pandemic.

Contactless smart cards offered a vital solution for minimizing physical contact at points of sale and access control points, which helped curb the spread of the virus. The increased use of these cards in contactless payments was supported by government and banking sector initiatives promoting digital payments and discouraging cash usage. As a…

Intelligent Process Automation (IPA) is revolutionizing how organizations operate by combining advanced technologies like artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and business process management. This hybrid approach enables businesses to automate not only repetitive tasks but also complex decision-making processes. By mimicking human actions and learning from patterns, IPA improves efficiency, reduces operational costs, and enhances accuracy across business functions.

At the heart of IPA lies robotic process automation, which automates rule-based and repetitive tasks such as data entry, report generation, and transaction processing. When paired with AI technologies like natural language processing (NLP), computer vision, and machine learning, these bots can handle more sophisticated activities. For example, an IPA system can extract insights from emails, categorize documents, or even make decisions based on predictive analytics. This makes it ideal for sectors like banking, healthcare, manufacturing, and customer service.

One of the key benefits of Intelligent…