- Competitive strategy and market positioning
- Channel strategy, planogram optimization, and new partner identification
- E-commerce strategy configured around distribution and fulfillment economics
- Product line extension and brand strength assessment
- Go-to-market for adjacent markets and new mobility segments
Industries:
Automotive and Mobility
Amid's Automotive & Mobility practice helps companies across the value chain make better decisions on pricing, channels, growth strategy, and competitive positioning. We bring analytical tools that model demand, pricing elasticity, and site-level performance alongside practitioners who understand aftermarket distribution, OEM channel dynamics, and the economics of new mobility. The work spans PE-backed aftermarket platforms, OEM suppliers, and emerging EV and infrastructure businesses.

Practice areas within Automotive & Mobility
Special capabilities supporting Automotive & Mobility work
Capabilities underpinning Automotive and Mobility Practice
Our consultants' client work spans the automotive and mobility ecosystem
Proven impact from manufacturing floors to service bays to boardrooms

Auto Aftermarket E-Commerce - Pricing & Distribution Strategy
Revamped e-commerce, brand, and merchandising strategy for a PE-backed auto aftermarket retailer, informed by customer research, brand analysis, and pricing analytics.

Auto Services - Site Performance Analytics
Evaluated performance variability across auto service chain's locations using multiple regression and panel analysis, backed by customer surveys. Delivered commercially oriented recommendations to improve per-site economics

Auto Filtration - Competitive & Channel Strategy
Advised an auto filter manufacturer on competitive positioning, channel strategy, pricing, planogram optimization, new channel partners, and product line extensions.

EV Components - Market Strategy & Investment Case
Evaluated market viability for an emerging EV component category to inform a major capex decision and industrial partnership strategy. Modeled commodity risk and demand variability across scenarios to stress-test the business case.




