Florence, Ala – July 6, 2017 – PartCycle Technologies announces “Inventory A.I.”, an innovation developed to communicate part descriptions and provide accurate quality ratings on used auto parts sold through the PartCycle marketplace.
Used parts sourcing solutions available today display raw notes made when an automotive recycler enters a part into their inventory management system using industry codes, subjective ratings, and shorthand. These raw notes are typically impossible to read for those who are untrained or unfamiliar with automotive recycling.
The raw notes may include important, and otherwise unavailable, details such as paint colour, quality or may indicate the existence, location and extent of any damage on the part. Without this information it can be a challenge for a buyer to know what they are purchasing without calling the seller directly.
When browsing inventory on PartCycle.com, all of the information a prospective buyer needs to know about condition and quality will be displayed right next to the inventory in an easy to read format, eliminating the need for a phone call.
Inventory A.I. uses a two-step process to create and display more information about the inventory.
The first step is to translate sellers’ raw inventory data into simple to understand part descriptions. PartCycle uses a translation engine to automatically recognize and convert shorthand industry codes and other raw data in sellers’ inventory notes, into easily understood and actionable information for the buyer.
The second step involves assigning commonly understood condition rating or classification.
After translating inventory data, the Inventory A.I. system then evaluates each parts’ final description, mileage, and any identified damage to assign a clear condition rating to each part.
Inventory A.I. also prevents the listing of parts, which may fall short of the expectations a modern buyer has when shopping online.
Inventory A.I. is currently only available within the United States although PartCycle is interested in bringing the service into Canada.
Interested parties should contact email@example.com more information.