Flipkart Builds Its Own AI Models as 40% of Company Code Is Now Written by AI

Flipkart is significantly expanding its artificial intelligence capabilities, with the company revealing that AI now generates nearly 40% of its software code. Alongside increasing AI-assisted software development, the e-commerce giant is also building its own large language models (LLMs) designed specifically for online commerce and internal operations.

The company's technology leadership says the next phase of AI will depend not only on using publicly available foundation models but also on developing specialised AI systems tailored for industry-specific tasks.

AI Becoming Central to Flipkart's Engineering Operations

According to Flipkart's Chief Product and Technology Officer Balaji Thiagarajan, artificial intelligence has become an integral part of the company's software development process.

AI currently contributes nearly 40% of the code written across the organisation, helping engineers accelerate development while automating repetitive programming tasks.

The increasing adoption of AI coding assistants reflects a broader industry trend where technology companies are integrating generative AI into engineering workflows to improve productivity.

Flipkart Is Developing Its Own Large Language Models

Beyond using existing AI technologies, Flipkart is investing in building proprietary large language models designed specifically for e-commerce.

The company believes that while general-purpose AI models remain useful, specialised models can better understand retail operations and customer interactions.

These proprietary models are expected to support various business functions, including:

• Product recommendations.
• Customer support.
• Search optimisation.
• Seller services.
• Supply chain operations.
• Internal business automation.

Developing domain-specific AI models allows organisations to tailor outputs according to their operational requirements.

More Than 250 AI Models Already in Use

Flipkart has revealed that it has already deployed over 250 AI models across its ecosystem.

These models are designed to perform different functions across multiple business verticals, supporting both customer-facing services and internal operational processes.

Rather than relying on a single AI system, the company is building an ecosystem of specialised models that work together for different use cases.

Building an Agentic E-commerce Platform

Flipkart is also working on what it describes as an agentic e-commerce platform.

An agentic AI system refers to software capable of performing tasks with greater autonomy by understanding goals, making decisions and completing multi-step workflows with minimal human intervention.

The company's platform is expected to combine:

• Frontier AI models.
• Proprietary language models.
• Task-specific AI systems.
• Intelligent automation tools.

This approach aims to improve efficiency across the e-commerce ecosystem while enhancing customer experiences.

Why General AI Models May Not Be Enough

According to the company's technology leadership, relying solely on publicly available AI models may not address the complex requirements of large e-commerce platforms.

Retail businesses often require AI systems capable of understanding:

• Product catalogues.
• Consumer behaviour.
• Logistics.
• Inventory management.
• Marketplace operations.
• Regional languages and shopping preferences.

Custom-built language models can be trained to perform these specialised tasks more effectively than general-purpose AI systems.

AI Is Transforming Software Development

Flipkart's announcement reflects the growing influence of generative AI across the global technology industry.

AI-powered coding tools are increasingly helping developers by:

• Writing repetitive code.
• Detecting programming errors.
• Generating documentation.
• Suggesting optimised solutions.
• Improving development speed.

However, human engineers continue to review, validate and refine AI-generated code before deployment.

Industry-Wide AI Race Intensifies

Technology companies worldwide are investing heavily in proprietary AI systems to reduce dependence on third-party models and create competitive advantages.

Many organisations are now building specialised AI solutions for industries such as:

• Retail.
• Healthcare.
• Banking.
• Manufacturing.
• Education.
• Customer service.

Flipkart's latest AI initiatives highlight the growing importance of domain-specific artificial intelligence in the evolving digital economy.

Featured Snippet

Flipkart says artificial intelligence now generates nearly 40% of its software code while the company develops proprietary large language models for e-commerce. The company has also deployed more than 250 AI models and is building an agentic AI platform to automate business operations.

Key Highlights

• Flipkart says AI now writes nearly 40% of its software code.
• The company is building proprietary large language models.
• More than 250 AI models have already been deployed.
• Flipkart is developing an agentic e-commerce platform.
• Custom AI models are being designed for specialised retail tasks.
• AI is helping improve software development efficiency.
• Human engineers continue to review AI-generated code.
• The company aims to strengthen AI-driven business automation.

Conclusion

Flipkart's growing investment in artificial intelligence reflects the rapid transformation taking place across the technology sector. By combining AI-assisted software development with proprietary large language models and an agentic e-commerce platform, the company is positioning itself to deliver more specialised and efficient digital services. As AI continues to reshape software engineering and online retail, industry-specific models are likely to play an increasingly important role in driving innovation.

FAQs

1. How much of Flipkart's code is written by AI?

According to the company, AI now generates nearly 40% of its software code.

2. Is Flipkart building its own AI models?

Yes. Flipkart is developing proprietary large language models designed specifically for e-commerce operations.

3. What are large language models (LLMs)?

LLMs are advanced artificial intelligence systems trained on large datasets to understand and generate human-like text and perform various language-based tasks.

4. How many AI models has Flipkart deployed?

The company says it has deployed more than 250 AI models across its ecosystem.

5. What is an agentic e-commerce platform?

It is an AI-powered platform designed to perform complex business tasks with greater autonomy using multiple intelligent AI systems.

6. Why is Flipkart building its own AI models?

The company believes specialised AI models perform better for retail-specific tasks than general-purpose AI systems.

7. Does AI completely replace software engineers at Flipkart?

No. AI assists developers by generating code, while engineers continue to review, test and validate the final software.

8. Why is this development important?

It highlights the increasing adoption of artificial intelligence in software development and the growing trend of companies building proprietary AI technologies.