The Emergence of the Machines: How AI is Changing Mobile App Development in India for E-Commerce and Logistics
The Booming Ecosystem of Indian Mobile Apps
With more than 850 million users, India has the second-largest internet user base globally. The proliferation of smartphones and reasonably priced data plans, especially in Tier 2 and Tier 3 cities, are the main drivers of this increase. Mobile apps are becoming more and more important to this tech-savvy populace for a variety of purposes, with e-commerce and logistics at the forefront.
By 2030, it is anticipated that the Indian e-commerce sector would have grown to a startling USD 350 billion due to reasons including expanding internet penetration, rising disposable income, and a move towards online buying. The foundation of e-commerce, logistics, is essential to ensuring prompt and effective delivery. This is where AI comes into play, providing a powerful tool for Indian companies that develop apps for e-commerce and logistics.
AI is transforming the creation of e-commerce apps.
- Personalized Recommendations: Artificial intelligence systems examine a plethora of user information, past purchases, and browsing patterns to suggest goods that align with personal tastes. Conversion rates rise as a result of this tailored experience for customers.
- Chatbots and smart search: AI-driven search features comprehend user intent and provide logical search recommendations, expediting the process of finding the right product. Natural language processing (NLP)-enabled chatbots can effectively respond to client inquiries, providing round-the-clock assistance and cutting down on customer care expenses.
- Dynamic Pricing and Promotions: AI can determine competitive prices and provide focused promotions by analyzing user behavior, competition pricing, and market trends. For e-commerce companies, this dynamic pricing approach maximizes revenue and increases sales.
- Fraud Detection and Risk Management: AI systems are able to identify suspicious activity and possible fraud attempts in real time, protecting both clients and companies from monetary losses.
- Image Recognition & Visual Search: Users can look for products by only snapping or uploading an image thanks to AI-powered image recognition. This visual search feature makes product discovery easier and improves user experience, especially for those who don't understand English.
Case Study: The AI-driven Personalization Engine at Flipkart
The enormously popular Indian e-commerce platform Flipkart makes considerable use of AI to customize the buying experience for its millions of users. Their AI system examines user information to make product recommendations based on each user's tastes and previous purchases. For Flipkart, this personalized approach has greatly enhanced user engagement and raised conversion rates.
AI's Effect on the Development of Indian Logistics Apps
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)
AI is having a major impact on the digital transformation of the Indian logistics industry, helping to optimize delivery procedures and streamline operations. This is how AI is influencing the creation of logistics app development company India:
- Route optimization and delivery management: AI systems can examine real-time traffic data, meteorological data, and driver availability to optimize delivery routes, reducing operating expenses and boosting driver productivity.
- Predictive maintenance: AI-powered systems forecast maintenance issues by analyzing data from connected vehicles, reducing downtime and ensuring smoother delivery operations.
- Demand Forecasting and Inventory Management: AI algorithms estimate product demand and optimize inventory levels based on past data and market trends, improving supply chain efficiency.
- Robotics and Automation in Warehouses: AI-driven robotics and automated warehouse systems enhance fulfillment processes, minimize errors, and manage higher order volumes efficiently.
- Optimization of Last-Mile Delivery: AI algorithms use geolocation and traffic analysis to optimize delivery routes, ensuring timely deliveries and enhancing customer satisfaction.
Case Study: Demand Forecasting Driven by AI at Delhivery
Delhivery, a leading logistics company in India, uses AI to forecast demand and optimize inventory levels. Their AI technology analyzes past sales data and seasonal patterns to minimize stockouts and maintain efficient delivery operations.
Problems & Things to Think About When Using AI
- Privacy and Data Security: Large-scale data collection for AI integration requires strong security measures to protect user privacy and comply with data protection laws.
- Explainability and Bias: Ensuring AI algorithms are transparent and free from biases is crucial for building trust and confidence in AI-powered systems.
- Technical know-how and infrastructure: Proficiency in data science, machine learning, and robust computing infrastructure are essential for successful AI implementation.
- Cost of Implementation: Integrating AI involves significant investment in infrastructure, personnel, and ongoing maintenance, necessitating careful cost-benefit analysis.
The Path Ahead: An AI-Powered Future
AI will continue to play a pivotal role in the future of mobile app development in India, particularly in e-commerce and logistics. Anticipated developments include hyper-personalization, integration of augmented reality, conversational commerce with voice assistants, and advancements in predictive maintenance.
The Significance of Indian E-commerce and Logistics Application Development Firms
Indian firms in e-commerce and logistics must strategically integrate AI into their processes to drive expansion and innovation. Key steps include investing in data infrastructure, talent acquisition, collaborating with AI specialists, and prioritizing user privacy.
In summary, the future of mobile app development in India for e-commerce and logistics is being reshaped by AI. While AI offers opportunities for enhanced user experiences and operational efficiencies, challenges such as data security and technical requirements must be addressed. The evolving landscape of AI promises exciting possibilities that will transform the mobile app market in India and beyond.