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From Order-Takers to Order-Makers as Data and AI Transform Tech Distribution in India

Sanjib Sahoo, President – Global Platform Group, Ingram Micro
Sanjib Sahoo, President – Global Platform Group, Ingram Micro

Sanjib Sahoo, President – Global Platform Group, Ingram Micro

As President of Ingram Micro’s Global Platform Group, Sanjib leads all aspects of the publicly traded company’s platform strategy, including platform development, the innovation flywheel, global growth, services and support, and the business expansion plans for Ingram Micro’s platform operating model.

Sahoo joined Ingram Micro in 2021 as EVP and Chief Digital Officer, where he spearheaded transformative initiatives,  including the creation and implementation of the company’s groundbreaking digital twin Ingram Micro Xvantage.  Recognized for his unique ability to blend strategic vision, technical expertise, and a results-driven approach, Sahoo is a driving force behind Ingram Micro’s digital transformation to a platform company and strategic focus on continuous business value creation.

Widely regarded as one of the most influential minds in business and technology, Sahoo has successfully architected and executed large-scale transformations across multiple high-profile industries, setting benchmarks for excellence in the digital era.

Tech Distribution has shifted from a “supply-centric” model, where vendors produce goods, distributors store them, and resellers sell them, to a “demand-centric” model that uses data and artificial intelligence (AI) to proactively anticipate and generate demand 

For most consumers, the journey of a new device from a global launch stage to their doorstep feels almost instantaneous, thanks to a highly complex, yet largely invisible global supply chain. The pandemic momentarily exposed this supply chain’s fragility, with even basic tech accessories becoming hard to source. Since then, the distribution industry has undergone a quiet but profound transformation, especially in markets like India, which now often receive products in the first wave of global launches. 

Behind the transformation is a significant shift in the way the technology distribution ecosystem operates. Traditionally, distribution has been a “supply-centric” model, where vendors produce goods, distributors store them, and resellers sell them. Now, the need has shifted to a “demand-centric” model that uses data and artificial intelligence (AI) to proactively anticipate and generate demand.  

The Complexity of Modern Tech Distribution 

A single technology solution often spans multiple products, vendors, and services. This bundling requires precise coordination between OEMs, distributors, and resellers. Even generating a quote can involve multiple companies and several layers of approval. The challenge is not just physical logistics, moving devices from one location to another, but also digital orchestration, ensuring the right mix of products reaches the right partner at the right time.  

That complexity is why Ingram Micro created Xvantage, an AI-driven platform that leverages more than 40 years and 4 petabytes of historical sales and inventory data, layered with predictive analytics. Agentic AI uses this data to connect the dots, allowing partners to forecast demand, identify market opportunities, and receive recommendations on promotions for slow-moving inventory. As a result, procurement and sales cycles are more closely aligned, reducing working capital strain while ensuring availability for end customers. By linking supply and demand with data in this way, we become a proactive order-maker, rather than a passive order-taker.  

The ‘Glocal’ Operating Model 

Operating at scale requires balancing a global framework with local execution. Global data models and best practices guide decision-making, but each region, specifically in diverse markets like India, requires its own playbook. Factors such as regional buying patterns, seasonality, and local supply chain dynamics must be built into the platform. 

Given the unpredictability of geopolitical events, demand volatility, and macroeconomic shifts, flexibility and responsiveness have become as important as forecasting accuracy. The platforms can suggest optimal decisions, but strong operational discipline from inventory hygiene to working capital management ensures those recommendations translate into business results. 

The Multi-Channel Future 

Post-pandemic, the shift toward digital buying channels has accelerated. For distributors, this is more than just setting up a platform; it’s about creating an “ecosystem commerce” model where resellers can transact seamlessly, integrate their own systems, and access value-added services without friction. 

This is where Xvantage plays a transformative role, uniting hardware, cloud subscriptions, personalised recommendations, instant pricing, order tracking, and billing automation in one AI-powered experience. Reducing friction across buying, managing, and scaling technology allows partners to focus less on processes and more on delivering value to customers. The platform also provides access to flexible financial solutions, asset disposition and lifecycle management services, and certified technical experts, making it not just a transactional hub but a growth enabler for the channel ecosystem.  

Through interactions, the platform generates a treasure trove of behavioural data, searches, saved carts, and purchase histories, which, when analysed responsibly, offer valuable insights into market intent. Shared in a structured way, this data also allows OEMs to fine-tune product strategies, pricing models, and channel programs. 

In short, Xvantage is an AI-driven digital experiential ecosystem that facilitates effective transactions and optimizes decision-making for both vendors and partners. It empowers our ecosystem to work smarter with purpose and precision, fueled by our belief that digital experience must be both visionary and viable.  

AI as an Industry Enabler 

AI is no longer a “back-office” experiment. It is embedded across the value chain from quoting and pricing to inventory management and bundled solution recommendations. The future of distribution is not AI replacing humans, but AI augmenting human decision-making. As industry leaders note, the challenge is not replacement, but reimagination: using technology to push the ecosystem toward greater efficiency, agility, and customer-centricity. 

In an era where technology lifecycles are shrinking and customer expectations are rising, the winners in India’s tech distribution industry will be those who can blend the scale of global networks with the agility of local operations, powered by data-driven intelligent platforms. The invisible gears of the supply chain are no longer just infrastructure; they are intelligent systems that redefine how quickly and effectively India gets its next wave of technology. 

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