PartCycle Technologies announces “Inventory A.I.”, an industry-first innovation developed to clearly communicate part descriptions and provide accurate quality ratings on used auto parts sold through the PartCycle Marketplace (www.PartCycle.com)
Most used parts sourcing solutions available today only 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 color, 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.
Step 1:
Translate sellers’ raw inventory data into simple to understand part descriptions.
PartCycle uses a sophisticated translation engine to automatically recognize and convert the shorthand, industry codes and other raw data in sellers’ inventory notes, into easily-understood, actionable, information for the buyer.
Step 2:
Assign a 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, easy to understand, Amazon.com-style, condition rating to each part. On PartCycle.com these part ratings include “Like New,” “Very Good,” “Good” or “Fair.”
Inventory A.I. also prevents the listing of parts which may fall short of the expectations a modern buyer has when shopping online.
With Inventory A.I.’s easy-to-understand part descriptions and familiar grading system, PartCycle provides a better overall shopping experience and reduces the amount of issues and returns from incorrectly-purchased parts.
See inventory A.I. in action by viewing this side view mirror, this engine or this wheel live on PartCycle.com.
OpenText Launches New Artificial Intelligence Platform
Posted in Commentary with tags OpenText on July 12, 2017 by itnerdOpenText has announced the availability of OpenText Magellan, the company’s new Artificial Intelligence (AI) platform. OpenText Magellan is a flexible AI and analytics platform that combines open source machine learning with advanced analysis and the capabilities to acquire, merge, manage and analyze Big Data and Big Content. Unveiled and demonstrated at OpenText Enterprise World 2017, Magellan’s cognitive computing platform offers users machine-assisted decision making, automation, and business optimization, in an easy to use and affordable package.
OpenText Magellan is a cost-effective solution built on a cohesive, highly scalable infrastructure equipped for handling massive amounts of structured and unstructured data. Powered by OpenText Analytics, and Apache Spark, OpenText Magellan integrates across any EIM architecture to dramatically reduce the time, effort and expertise required to leverage the value of advanced analytics in decision making and task automation.
The solution is designed for multiple use cases enabling customers to:
OpenText Magellan is part of the OpenText EIM portfolio, enabling organizations to discover and manage information to spur growth and innovation and decrease time to competitive advantage. The platform consists of comprehensive and integrated product solutions including Content Suite, Process Suite, Experience Suite, Analytics Suite, Discovery Suite and Business Network. OpenText’s EIM solutions are available for deployment on premises, in the cloud and in hybrid deployments.
OpenText Magellan is available immediately.
Leave a comment »