Automotive procurement teams working on EV programs face a significant challenge in hitting cost targets on components with limited benchmark data. They must negotiate against suppliers who have a deep understanding of their manufacturing processes, labor rates, and overhead structures. This is a sourcing problem, but its root is upstream, in the design phase, which accounts for 80% of a product’s cost.
The design phase is where cost overruns start, long before sourcing begins. In traditional ICE programs, workarounds have been built over decades, including deep supplier relationships, mature cost benchmarks, and experienced commodity managers. However, these workarounds are thinner on EV programs, where components are newer and suppliers are fewer.
Connecting Cost Intelligence to Design
Manufacturers making progress on EV costs are not solving this problem at the negotiating table alone. They are connecting cost intelligence into the design process, so procurement can make sourcing decisions with the same view suppliers have when building their quotes. This approach allows design engineers to see the cost impact in real-time, before cutting tooling and locking in suppliers.
One Tier 1 automotive supplier, shifting driveline and sealing product lines to electrification, embedded cost and design for manufacturability analysis into vehicle development. The company identified cost-saving opportunities of 8% of total spend within two years, realizing 4% in the first year. These savings were found not at the negotiating table, but when design engineers could see the cost impact in real-time.
No Standardized Baseline for EV Costs
For established ICE components, procurement has decades of benchmarks. However, for EV-specific parts such as battery modules, e-motors, and power electronics, that cost history is shallow or nonexistent. Suppliers build quotes drawing on their own process knowledge and cost structure, while most procurement teams evaluate them against a previous quote, a finance target, or a gut feel, without an independent view of what manufacturing should cost.
A leading U.S. EV manufacturer scaling production across multiple platforms had no standardized starting point, weakening procurement’s negotiating position. By standardizing estimation across process groups, using part geometry and manufacturing data, procurement and cost engineering teams gained one baseline for every supplier conversation.
Turnaround times for estimates dropped, quote comparisons held up across manufacturing methods, and procurement engaged suppliers with precision rather than approximation, on new platforms with no prior baseline to fall back on. This approach allowed the manufacturer to make more informed sourcing decisions and reduce costs.
EV Procurement Strategy
The playbook for EV cost management differs from ICE, not because the fundamentals of procurement have changed, but because that intelligence has been absent. A U.S.-based EV startup pursuing a $25,000 price point used manufacturing simulation to eliminate a $150,000 prototype cost overrun and cut tooling expenses on a single part from $400,000 to $154,000, a reduction of 62% through rapid design iteration before production.
The savings did not come from negotiation strength alone. They came from knowing what the part should cost early enough to change how the team designed, tooled, and sourced it, and keep the program on schedule. Late cost decisions do not just hurt margin; they create the engineering change orders and supplier renegotiations that push launch dates.
For automotive procurement teams working on EV programs without that cost history, having cost intelligence based on the product’s geometry, available before the quote arrives, and defensible when the supplier pushes back, is the shift that changes what’s possible at the negotiating table. This approach allows manufacturers to close the EV profitability gap and make more informed sourcing decisions.
