How Lenovo scales circular supply chains with AI and governance

Sturdy information techniques, governance, and cautious use of AI permit Lenovo to scale round provide chains whereas sustaining oversight. It reveals how construction and expertise collectively could make sustainability sensible, not simply aspirational.

Efforts to make provide chains extra sustainable typically deal with single initiatives—like switching to recycled supplies or reducing carbon throughout transport. However lasting change often relies on how effectively these actions are constructed into the day by day operations of an organization. Lenovo’s method reveals how round design, AI, and clear governance can work collectively to scale sustainable practices throughout international provide chains.

Designing for circularity from the beginning

Lenovo’s sustainability efforts don’t start on the finish of a product’s life—they begin throughout product design. Round ideas are constructed into materials decisions, packaging, and serviceability, making it simpler to restore and refurbish units afterward. The corporate has built-in recycled supplies into tons of of product traces and makes use of plant-based packaging, comparable to bamboo and sugarcane, throughout a lot of them.

“We construct circularity in from the very starting: beginning with product design, choosing sustainable supplies, lowering the carbon footprint throughout manufacturing, promoting via our channels, after which taking again and refurbishing merchandise for resale via SSG,” stated Jammi Tu, Senior Vice President and Group Operations Officer at Lenovo.

This end-to-end mannequin permits Lenovo to handle each step of the round course of internally. Refurbished merchandise are collected, sanitised, and resold via Lenovo’s Options and Companies Group. It’s a method that blends business objectives with sustainability targets, making a loop somewhat than a straight line from manufacturing to disposal.

Scaling round innovation throughout markets

The corporate’s Asset Restoration Companies now function in 43 markets, with plans to increase to round 50. These companies deal with roughly a million units annually. Scaling this sort of program isn’t easy. It entails establishing reverse logistics techniques, assembly completely different regulatory necessities, and guaranteeing information is securely wiped from returned units.

Tu defined that the problem isn’t nearly increasing capability. It’s about ensuring each a part of the system is related so the round mannequin can develop with out dropping management. “The true problem is guaranteeing that this enterprise continues to develop whereas nonetheless assembly our mission to cut back our international carbon footprint. That’s the place end-to-end connectivity turns into important,” he stated.

To handle this, Lenovo makes use of AI to trace carbon emissions via its Clever Sustainability Options Advisor (LISSA). This software calculates the carbon footprint for every PC produced, serving to enterprise clients make knowledgeable selections about their purchases. By combining AI with sustainability reporting, the corporate can scale its round applications whereas sustaining accountability.

AI’s position in oversight and belief

Lenovo’s use of AI goes past carbon accounting. Over the previous seven to eight years, it has steadily constructed AI capabilities into its provide chain operations. Two years in the past, it shifted from conventional AI to agentic AI techniques that provide extra autonomous assist, although human oversight stays important.

Tu described this as a structured course of that depends on shut collaboration between safety, expertise, and knowledge leaders. “To undertake AI capabilities successfully, we work very carefully with our Chief Safety Officer, Chief Expertise Officer, and Chief Data Officer. Collectively, we guarantee full visibility, meet safety necessities, select the best structure, and minimise dangers,” he stated.

Sturdy monitoring techniques verify the accuracy of AI outputs, and checkpoints throughout manufacturing and logistics stop errors from spreading via operations. This steadiness between automation and human overview is essential to sustaining belief in AI-driven decision-making.

Why most AI efforts fall quick

Many corporations have began experimenting with AI of their provide chains, however few have moved past pilot tasks. Tu identified three necessities that separate success from failure: data and information, organisation and governance, and infrastructure.

“It’s not simply information quantity however structured, retained data. If data walks out the door with folks, AI received’t succeed,” he stated. Clear possession and safety are additionally important. At Lenovo, the CIO and CTO play central roles in guaranteeing infrastructure and governance are strong earlier than scaling new instruments.

This lengthy historical past with information and governance gave Lenovo a bonus in the course of the pandemic. When provide chains worldwide had been disrupted, the corporate was capable of preserve shipments flowing by figuring out bottlenecks throughout each tier-one and tier-two suppliers. This visibility allowed it to transform out there elements into completed merchandise whereas preserving stock lean.

A related method to sustainability

Round design, reverse logistics, AI, and governance could appear to be separate methods, however Lenovo’s instance reveals they’re carefully linked. Circularity relies on good information. Knowledge relies on governance. And AI works greatest when each are sturdy. By connecting these parts, sustainable practices can scale throughout advanced international networks with out turning into remoted pilot tasks.

For different corporations, the lesson is that sustainability just isn’t a aspect program. It needs to be designed into merchandise, constructed into operations, and supported by the best expertise and oversight. That’s how a round provide chain turns into not simply doable, however sensible.

(Photograph by Bernd 📷 Dittrich)

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