India’s auto component industry is facing a split, not between companies that believe in AI and those that don’t, but between companies already using it and those still deciding whether to start.
That distinction matters more than it might seem. Because while the second group deliberates, the first group is winning contracts, cutting cycle times, and building the kind of supplier transparency that global OEMs now treat as a baseline requirement.
The pressure points are real and mounting. OEMs are demanding traceability beyond tier-1. ESG reporting is no longer a future obligation. RFQ response windows that once stretched to weeks are now measured in days. And the suppliers who can’t meet these expectations aren’t getting a grace period, they’re getting replaced.
This post breaks down the four core challenges reshaping procurement for India’s auto suppliers, the AI approaches that are working right now, and what tier 2 and tier 3 suppliers can do to start moving without overhauling everything at once.
The wake-up call nobody wanted (but everyone needed)
65% of procurement leaders lack visibility past tier-1 suppliers.
Two-thirds of buyers literally can’t see what’s happening beyond their immediate suppliers.
And OEMs? They’re done pretending that’s okay.
The expectations have shifted. It’s not just about cost anymore.
OEMs want traceability. They want ESG compliance. They want you to respond faster than your competitor down the road. And they want proof: digital proof, not promises.
Mukul Sinha, who heads analytics and AI at Uno Minda, put it bluntly:
“OEMs’ expectations today go beyond the norms of price and delivery. They’re looking at transparency, sustainability and intelligence across the entire end-to-end value chain.”
According to research shared at the ACMA-Powerweave forum, half of all supply chains had already invested in AI and analytics by 2024. Those that did are now faster, leaner, and more resilient. Those that didn’t are already struggling to keep pace.
The gap is growing. And it’s growing fast.
The four pressure points challenging suppliers right now and how AI is fixing them
Challenge 1: Speed isn’t optional anymore
Manual RFQs, emailing 20 suppliers, tracking responses in Excel, comparing specs and prices by hand, and chasing approvals in meetings, used to take 6–12 weeks. That worked when product cycles lasted years and supplier relationships were stable.
But that’s no longer the case. OEMs launching new EV platforms need answers in days, not months.
Companies that move this fast win bids and secure early access to future programs.
Case Study: How one Auto Supplier cut time from weeks to days
The problem:
A multi-plant automotive supplier working with several OEMs was managing RFQs through email and Excel. This led to multiple versions of the same file, late quotes, and long delays between sending an RFQ and awarding the contract.
They implemented an AI-driven sourcing portal that centralized everything:
All RFQs in one workspace, auto-parsed quote data, structured negotiations with full logs, and automated nudges when suppliers went silent.
The result:
Decisions moved from weeks to days. Sometimes days to hours.
- 40% reduction in RFQ-to-selection cycle time
- ~30% higher buyer productivity
- 100% digital audit trail
Even McKinsey backs this up: An advanced analytics platform cuts tender evaluation time by two-thirds, while digital negotiations boosts savings by 281%.
Challenge 2: Trust: The data & visibility problem
Procurement teams are lean. Supplier bases are massive. Multiple ERPs, contracts buried in local folders, and fragmented systems make it impossible to get a clear picture.
NEERAJ SACHDEV (IIM L, IIFT, IMT, ER. and Turnaround Specialist), President and CPO at Unominda Group, shared some numbers to highlight the challenge:
“I have more than 2,000 suppliers, more than 25 plants are handled by me and my team. We cannot have an unlimited supply of members. What we’re trying to do is to use AI to at least predict where we should point our energy so that the bandwidth is utilized properly.”
Without clean, centralized data, spend analysis, supplier performance tracking, and predictive insights are impossible.
If you can’t analyze your spending, you can’t optimize it. Simple as that.
Case Study: 90% fewer missed deliveries
The problem:
An automotive interior supplier had 20+ vendors. They managed schedules via spreadsheet. Updates weren’t real-time, leading to shortages or overages, which led to missed deliveries and premium freight costs.
- They implemented a cloud supplier portal integrated with their ERP. Live forecasts. Supplier self-service. Real-time alerts.
The result:
- 90% reduction in missed deliveries
- 25% lower inventory
- 75% increase in inventory turns
- 70% cut in freight costs (no more panic shipments)
Challenge 3: Audit-ready compliance
BRSR core. Year-round audits. ESG reporting. Carbon accounting.
One missed certificate. One compliance gap. That’s all it takes to lose a contract.
Case Study: From 12,000 suppliers to one audit-ready system
The problem:
A multi-continent auto components company was working with around 12,000 suppliers across multiple ERPs: SAP, Oracle, QuickBooks, and Tall, you just name it.
Their PO coverage? About 30%. Only 25% of their spend was visible centrally. Contracts lived in random local folders. PR/PO processes varied by site. Audits were slow, manual, and risky.
Pratik Thakore, COO at Powerweave, shared that:
“This was increasing the risk of audit exponentially.”
- They built a unified source-to-pay workspace with a single supplier master, standardized workflows, centralized agreements, and mandatory certificate uploads with expiry tracking.
The result:
- Supplier base cut in half (12,000 → 5,000)
- PO coverage jumped from 30% to 99%
- 98% of spend now visible and analyzable
- One lean team vs. 2-3 people per country
General Motors reported that they averted approximately 75 production halts in 2025 after digitizing supplier mapping and implementing AI-driven alerts.
Challenge 4: ESG pressure is real
Investors want Scope 3 data. Regulators want carbon reports. OEMs want proof you’re tracking sustainability. Most suppliers can’t provide it. Not because they don’t care. Because they don’t have 15-20 people to manually compile it.
Case Study: ESG baseline in one quarter
The problem:
A fast-growing EV OEM in Bangalore was under pressure from investors, regulators, and OEM partners to demonstrate credible ESG performance. While Scope 1 and 2 emissions were partially measured, Scope 3 data across suppliers was completely missing. Systems were siloed, and teams didn’t have the capacity to handle multi-framework reporting like BRSR, GRI, and CDP.
They implemented an AI-assisted ESG program through Snowkap (A Powerweave brand) that combined materiality assessment, carbon baselining, supplier onboarding with primary and proxy data, BRSR gap mapping, and training, all on one platform.
The result:
- 90% reduction in manual effort
- Two plants fully baselined in one quarter
- Three-year ESG roadmap ready
Sustainability is no longer a “nice-to-have” or a future goal, it directly impacts your ability to win contracts and retain OEM relationships.
How Europe approaches digital transformation: a different path
The contrast with European suppliers is instructive.
Eastern Europe has moved faster on digitalization than Western Europe, but the priorities are structured differently. Where Indian suppliers are adopting AI-powered automation, European suppliers have generally focused on foundational ERP infrastructure first — a staged, methodical approach that’s slower to deliver AI-level outcomes.
Custom-built supplier portals, where suppliers upload quotations and buyers download them, are still the norm across much of the European tier-1 and tier-2 base. Functional. But not automated. Not predictive.
The deeper barrier in Western Europe is organizational. Decision-makers who control budgets often don’t yet understand why AI should be used. A prolonged period of flat economic conditions across the region has pushed digitalization investment onto the back burner.
The divergence is significant. Indian suppliers that are moving now are building a capability gap that will be difficult to close later.
Meanwhile, in India, leaders are moving.
Indian suppliers aren’t waiting for perfect conditions. They’re starting small and proving value fast.
Jitendraa from Tata AutoComp shared an example from their battery manufacturing:
They integrated IoT with traceability and efficiency tracking. Now managers see data in real-time and respond immediately. When customers ask for compliance data, which they increasingly do, it’s already there.
Neeraj Sachdev, President and Chief Procurement Officer at Uno Minda Group, shares a perfect example:
“We were able to get the data very easily and within maybe a few hours we are now able to analyze more than 500 suppliers.”
More than 500 suppliers. In a few hours.
He also uses AI for semiconductor pricing, where standard cost models fail during shortages. Then came the reality check:
“I have more than 2,000 suppliers, more than 25 plants… we cannot have unlimited supply of members. What we’re trying to do is to use AI to at least predict where we should point out our energy so that the bandwidth is utilized properly.”
That’s the real use case.
Not replacing people. Helping finite teams focus on what matters.
Advice for Tier 2/3 Suppliers
Map your bottlenecks first.
Before chasing big AI tools, understand where your process slows down. Is it RFQ follow-ups, supplier approvals, or compliance tracking? Identify one pain point and fix it digitally; even small wins matter.
Digitize incrementally.
Don’t wait for a full ERP upgrade. Use AI-light tools or cloud portals for one workflow at a time. For example, track certificates, automate reminders, or centralize RFQs. This builds momentum without disruption.
Jitendra states that:
“Suppliers think AI means job loss. It’s not that way. It’s about making business smoother. But you must embrace it, digitization isn’t optional. OEMs will require it.”
Measure impact early.
Set clear KPIs: days saved per RFQ, % of on-time deliveries, or spend visibility. Demonstrating quick wins builds confidence internally and proves value to OEMs.
Build data confidence.
Train your team to use dashboards, alerts, and analytics. Even if you start small, predictable, transparent data sets the foundation for bigger AI adoption later.
Jolan:
“Teach your teams to use data for analytics with AI. Don’t be afraid. Be proactive instead of always troubleshooting.”
Focus on ESG from day one.
Investors and OEMs increasingly score suppliers on sustainability. Start capturing basic carbon data, supplier traceability, or ESG reporting. Early steps now prevent big compliance headaches later.
“The auto industry is at an inflection point. AI-powered sourcing isn’t optional. It’s the difference between keeping pace and falling behind.” Pratik, COO at Powerweave.
The choice is simple: adopt AI now or risk falling behind.
Take the first step
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- Your current procurement workflow, what’s slowing you down
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The auto industry is moving fast.
Make sure your procurement processes keep up.
Because if you don’t, someone else will.
