BigBasket, India’s online grocery pioneer, is entering the 10-minute delivery race with BB Now. Backed by Tata, it plans to scale up dark stores and compete with Blinkit, Zepto, and Swiggy Instamart. With revenues crossing ₹10,500 crore in FY24, BigBasket aims to triple its quick commerce share by FY26, focusing on exclusivity with Tata-owned brands like Starbucks and Qmin.

A quiet revolution is unfolding in India’s startup scene, over 200 top operators from Flipkart, Swiggy, Zomato, and Ola have left high-ranking roles to launch their own ventures. Backed by major VCs, these experienced founders are redefining startup success with sharper execution, faster traction, and smarter growth strategies.

AI agents are now supercharged with tool integrations—from web browsers and APIs to databases and SaaS platforms. This means they don’t just think—they act. With frameworks like ReAct and LangChain, these agents can access external systems, fetch real-time data, and execute actions just like a skilled digital teammate.

The era of forgetful bots is over, as today’s AI agents are equipped with memory modules that store past interactions, learn from them, and apply context to future tasks. From vector embeddings to long-term recall systems, memory is fast becoming the cornerstone of intelligent and reliable agent behaviour.

AI agents are evolving from reactive bots to proactive co-workers. With reasoning capabilities, decision logic, and built-in autonomy, these agents can now complete complex tasks without continuous prompts. Think of them as intelligent assistants that analyse, adapt, and act—streamlining operations from research to execution across industries.

Product managers can now deploy AI agents to create tailored user experiences in real-time. Based on user behaviour, these agents dynamically adjust feature visibility, recommend content, or tweak onboarding flows. It's no longer about one-size-fits-all UX—it’s about delivering micro-experiences that feel unique to every user.

Agentic systems automate recurring tasks like user story writing, backlog grooming, and A/B test orchestration. This operational lift reduces dependency on cross-functional syncs and status updates. Teams can move faster, iterate often, and focus on strategy instead of admin. The result: leaner sprints and higher product velocity.

Gone are the days of manual market research and guesswork. Agentic AI enables intelligent agents that autonomously identify user pain points, monitor competitor moves, and recommend features backed by real data. These agents continuously learn from user behaviour and feedback, making product discovery faster, iterative, and insight-driven from day one.

Agentic AI is giving product managers a new superpower—autonomy. Unlike traditional AI that requires human instruction, agentic systems can define goals, gather data, test options, and execute decisions. This means faster experimentation, smarter prioritisation, and dynamic roadmaps that evolve in real-time. Product Management can now spend less time on firefighting and more on visionary thinking.

Sensex and Nifty opened lower in the pre-market session on Friday. The Nifty opened 415 points lower, below the 24,500 mark, while the Sensex saw a drop of over 1,200 points in the early minutes of trading. All 30 components of the Sensex were in the red, with Adani Ports falling as much as 2%.