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PepsiCo India expands AI use across farming, factories and retail operations

The company is deploying crop intelligence, connected manufacturing, automated warehouses and AI-led retail tools across its supply chain

MUMBAI: From the potato fields to the supermarket shelf, PepsiCo India is giving its operations a digital makeover, using artificial intelligence (AI), data analytics and automation to connect more stages of its business. The company is expanding these technologies across farming, manufacturing, warehousing, logistics, retail execution and consumer engagement as part of its wider digital transformation strategy.

The initiative centres on improving operational visibility, productivity and decision-making across the company’s value chain. Rather than limiting AI to consumer-facing applications, PepsiCo India is applying digital tools to activities ranging from monitoring crop health and managing factory performance to planning transport movements and assessing how products are displayed in retail outlets.

The company is building on its existing enterprise technology platforms to scale these applications across business functions. However, the company has not disclosed specific financial savings, productivity gains or deployment targets associated with the latest expansion.

“At PepsiCo India, we are strengthening our digital backbone from seed to shelf by embedding AI, data, analytics and automation across every critical touchpoint of our business,” said Nishant Gupta, vice-president, strategy and transformation, PepsiCo India and South Asia.

“From empowering farmers with digital crop intelligence to building connected factories, intelligent supply chains and digitally enabled market execution, technology is helping us make better decisions, improve agility and create long-term value for our farmers, customers, consumers and employees,” he added.

One of the areas receiving attention is potato procurement, an important part of PepsiCo India’s food business. The company has digitised its procurement processes and farmer transactions, while also using Cropin’s satellite-based crop intelligence platform to provide farmers with data-driven agronomic insights.

The platform is intended to help farmers make more informed decisions on crop health, irrigation, harvesting and the management of agricultural inputs. Information from digital systems is shared through SMS alerts and guidance from agronomists, connecting technology-based insights with on-ground farming support.

The approach brings digital monitoring into the agricultural stage of the supply chain, where crop conditions and farm-level decisions can influence procurement planning. Satellite-based intelligence can help provide a broader view of crop conditions, while agronomists offer guidance to farmers on interpreting and acting on the information.

From fields, the company’s digital push extends to its manufacturing plants. Digital shop-floor systems provide real-time visibility into plant performance, production throughput and downtime. These systems are intended to help teams identify operational issues and respond more quickly when production processes do not run as planned.

For manufacturers, the ability to track output and downtime can support decisions on production scheduling, equipment use and operational efficiency. PepsiCo India’s deployment places factory performance data within its broader digital framework, although the company has not provided figures on how much downtime has been reduced or how much additional output the systems have generated.

Warehousing and transport are also part of the transformation. PepsiCo India is deploying Automated Storage and Retrieval Systems (ASRS), Warehouse Management Systems (WMS) and AI-enabled Transport Control Towers to improve warehouse productivity, logistics visibility and transportation planning.

ASRS technology automates the storage and retrieval of goods, while warehouse management systems help coordinate inventory and warehouse activities. Transport Control Towers provide a way to monitor logistics operations and support transport planning. Together, these systems are intended to improve the visibility of products as they move through the supply chain.

The company has linked these initiatives to its wider efforts to improve supply chain efficiency and support sustainability objectives. Better coordination of inventory, warehouse activity and transportation can help businesses plan operations more effectively, though the company has not specified the environmental or cost benefits achieved so far through these deployments.

The digital strategy also reaches the retail network, where PepsiCo India is using tools to improve sales execution and visibility at individual outlets. These include handheld salesforce automation, distributor management systems, geo-tagged retail execution and AI-powered image recognition.

The technologies serve different purposes across the distribution network. Salesforce automation tools support field sales activities, while distributor management systems help coordinate distribution operations. Geo-tagging provides location-based information on retail execution, and image recognition can help assess what is visible on store shelves.

The image recognition capability supports PepsiCo India’s Perfect Store programme, which focuses on retail execution. By analysing images from retail outlets, the technology can provide greater visibility into how products are displayed and whether store-level execution meets the company’s requirements.

Such tools can help sales teams identify gaps in product visibility and follow up on execution issues. They also give the company another way to gather information from its retail network, supplementing the data collected through sales and distributor systems.

PepsiCo India is also using digital platforms to maintain engagement with retailers and consumers. Its WhatsApp-based PEP Connect platform is used to engage with retailers, while Pep Genie supports personalised consumer engagement and loyalty initiatives.

These applications extend the company’s digital activity beyond procurement and logistics into customer relationships. Retailer-facing tools provide a channel for communication with distribution partners, while consumer-facing initiatives are designed to support more personalised interactions and loyalty programmes.

The company is also expanding AI use across planning, innovation and enterprise operations, while providing employees with access to its enterprise AI platforms. This broadens the technology’s role beyond specific operational applications, potentially allowing teams across different functions to incorporate AI into their workflows.

The expansion reflects a wider effort to connect data and technology across the business, rather than treating farming, manufacturing, logistics and retail as separate processes. Information generated at different stages can support planning and decision-making across the value chain, although the extent of integration between individual systems has not been detailed.

For PepsiCo India, the challenge is to make these digital applications work across a complex network of farmers, manufacturing facilities, warehouses, distributors, retailers and consumers. Their effectiveness will depend on how consistently the systems are deployed, how well the data is used and whether the applications translate into measurable operational improvements.

The company’s latest move therefore places AI at several points in its operations, from crop intelligence and factory monitoring to transport planning and shelf-level execution. Rather than a single technology rollout, the strategy involves a collection of digital tools aimed at improving visibility and coordination across the business.

As PepsiCo India expands these systems, the measure of progress will be how effectively they improve day-to-day decisions and operational performance. For now, the company’s digital transformation is extending from seed to shelf, with AI and automation increasingly embedded in the processes that move its products from farms to consumers.

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