Reynolds Unveils Cutting-Edge Spark AI at Amplify 2024

Spark AI combines data across the Reynolds Retail Management System and applies AI logic to help dealerships be more efficient and productive.

The Reynolds and Reynolds Company announced today the launch of Spark AI, an artificial intelligence (AI) data layer that powers all Reynolds AI products. Spark AI eliminates silos created by AI tools and provides a broader data set, resulting in smarter tools.

The company is leveraging AI and machine learning to help the automotive retail industry make tremendous leaps forward.

"Artificial intelligence and machine learning tools are just beginning to come into their own," said Chris Walsh, president of Reynolds. "As a result, some still struggle to get disparate applications to coordinate and function together as a whole to get the most benefit out of AI across their systems.

"At Reynolds, we have long approached designing our products to work seamlessly with each other. This forward-thinking approach has made it possible to implement widespread AI benefits across our entire Retail Management System, enabling dealers to maximize productivity, strengthen customer interactions, and make more educated decisions."

At Reynolds Retail Summit, four AI products that leverage the single, shared Spark AI data layer were released to deliver smarter, outcome-driven results:

• Conversation AI
  Sales managers can have hot cases from phone calls served up to them automatically. They no longer have to review every call one by one to uncover coaching opportunities, upset customers, or those ready to buy. Conversation AI automatically transcribes each call, summarizes it, and tags it with a category directly in the CRM, simplifying phone call follow-up and conversion.
• Engagement AI
  Chasing down non-responsive leads can be extremely frustrating and time consuming. Engagement AI augments that task for salespeople through conversational text messages with prospects as leads come into the dealership. Engagement AI prioritizes high-value leads when it identifies customers ready to buy, and then connects them with staff directly via instant notifications.
• Prospect AI
  Prospect AI identifies customers with a high propensity to buy and matches them with vehicles that best fit their situation in the dealership's inventory. It also goes a step further to determine how they will buy - finance, lease, or cash. The Spark AI data layer leverages phases of life, major events, and a host of other factors and variables to make these determinations.
• Merchandising AI
  Compelling vehicle descriptions and professional-looking photos are major factors in online conversions, but they can take a tremendous amount of time and resources. Merchandising AI eliminates guesswork, manual creation, and copy-and-paste entries by creating high-quality descriptions with key vehicle features pulled directly from the VIN. It also updates image backgrounds to remove distractions and automatically places overlays on images for consistency.

To maximize the impact of Merchandising AI, Reynolds also announced at its Retail Summit the merging of ReconTRAC and AutoVision. ReconTRAC has been renamed ReconVision and is now a part of the AutoVision platform. This change will bring all vehicle management tools together in one platform and further broaden the Spark AI data layer.

"Spark AI helps dealers solve many of the problems they face on a daily basis," concluded Walsh. "Right now, dealerships are experiencing staffing shortages and expectations of doing as well, if not better, than they ever have before. Spark AI helps them do this by making their people more efficient and productive. It is ushering in a new way to leverage AI in automotive retail."

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