The AI in Your Shopping Cart
Before a product even reaches the shelf, AI is already at work. In agriculture, AI-powered systems use data from drones and sensors to optimise water and fertilizer use, and even predict crop yields. Indian companies are using this technology to improve
farming, reduce waste, and manage the supply chain more effectively. In stores, you might see digital price tags that can be updated in seconds or experience cashier-less checkouts. Behind the scenes, AI is managing inventory, forecasting demand to prevent stockouts, and even helping to develop new products. This technology aims to make the entire food journey, from farm to fork, smarter and more efficient.
The Multi-Billion Rupee Investment
Implementing AI is not as simple as installing a new piece of software. It is a massive business transformation that comes with significant costs. Companies are investing billions in building new data centres, which consume vast amounts of energy and can even drive up land prices. Beyond the hardware, there are immense costs for research and development, hiring specialised talent, and cleaning and organising massive datasets so the AI can understand them. These hidden expenses, from infrastructure upgrades to data security, can add up to 50 percent more to an AI project's initial budget. Ultimately, companies undertake these investments to improve profitability, and these costs must be recouped.
Smarter Pricing, But for Whom?
One of the most direct ways AI could affect your bill is through 'dynamic pricing'. This is where prices change in real-time based on demand, competitor prices, time of day, and even the weather. Airlines and ride-hailing apps have used this for years. Now, with digital shelf tags, grocery stores can do the same. An AI might lower the price of perishable goods nearing their expiry date to reduce waste. However, critics warn this same technology could be used to subtly increase prices during peak shopping hours or test how much different shoppers are willing to pay for the same item. This raises questions about fairness and transparency, especially if customers can't easily tell why a price has changed.
The Case for Lower Prices
The story isn't entirely one-sided. Proponents argue that the efficiencies gained from AI will ultimately benefit consumers. By drastically reducing food waste, a major economic and social challenge in India, retailers can save money. AI-optimised supply chains mean fewer trucks on the road and less spoilage, which cuts operational costs. In agriculture, precision farming reduces the expensive use of water, fertiliser, and pesticides, which could lower the base cost of food production. Retailers argue that by using AI to reduce losses from theft and improve inventory management, they can maintain lower prices for customers overall. The hope is that competition will force companies to pass at least some of these savings on to shoppers.
