When the end-buyers succeed at their jobs, so does your business. That’s why we start every process by understanding the buyer’s journey, their ‘Jobs To Be Done’, and potential friction. Based on this, optimisations are made to refine the buying experience and improve conversion rates.
Auto parts e-commerce is much harder to implement than other categories due to the underlying data complexity.
Our edge lies at the intersection of world-class expertise in data science and a deep understanding of e-commerce. We’ve worked with Fortune 500 customers and understand the technical nuances involved in delivering large-scale enterprise projects.
By adopting Partly’s auto data standards, brands can choose how data is shared downstream, see how it’s used and get real-time feedback from distributors.
Manual data adding, cleaning & mapping are time-consuming and expensive. What may have taken months can now be done in days with a good automation process.
We offer data extraction, cleaning and mapping services suitable to your business needs.
Partly’s data standard is flexible, allowing your company to create fully customised buyer flows, dedicated parts finders, and world-class search - all based on stable, structured and real-time data.
We look for strategic fit by imbuing your organisation’s long-standing advantage with our technical and data know-how.
Our team helps you set a clear direction through strategic consultation and bespoke solution architecture, instead of a cookie-cutter approach.
Tony is an experienced international e-commerce executive with leadership experience across Product Management, Business Development, Marketing & Sales, P&L ownership, 1P & 3P, B2B, B2C & C2C.
He founded Amazon’s Automotive European division and grew it into a multi-billion dollar business; most recently led Amazon’s Global Cross-Border strategy. Before that, he headed up category management at Repco and then eBay Motors which became dominant in the global Vehicle Parts and Accessory space.
Get in touch and let us know how we can help
