December 3, 2020


DULUTH, Ga., Dec. 2, 2020 /PRNewswire/ — Asbury Automotive Group, Inc. (NYSE: ABG) (“Asbury” or the “Company”), one of the largest automotive retail and service companies in the U.S., announced today the launch of Clicklane— a communications technology ecosystem which allows for a true online car-buying and selling experience. Asbury partnered with Gubagoo to build the online platform that gives Asbury the ability to enhance the car buying experience across its store base and also to enter new markets focusing on the pre-owned vehicle business as a standalone Clicklane brand.

Asbury Automotive Group (PRNewsfoto/Asbury Automotive Group, Inc.)

Clicklane fills many of the gaps that exist with online automotive retail platforms currently on the market. Features that are unique to this platform include:

  • Penny perfect trade-in values and penny perfect loan payoffs
  • Real-payment figures based on local taxes and fees
  • Loan marketplace, which now includes more than 30 lenders
  • VIN-specific finance & insurance products customized to the vehicle and consumer
  • Ability to sign all documents online via DocuSign®
  • In-tool service and collision appointment scheduler

Members of the Asbury executive leadership team will host a demonstration of the Clicklane platform on Wednesday, December 2 at 10 a.m. EST live at

“Clicklane is the latest evolution in our omni-channel strategy that we began more than four years ago,” said CEO & President David Hult. “The future of the automotive retail industry relies on innovation and our ability to meet consumers where they are— online. With Clicklane, we have created one platform for the entire life cycle of vehicle ownership and found the solution to what has been a fragmented process. Others may have pioneered the online car-buying experience, but we believe that we have perfected it.”

Asbury first piloted Clicklane at one of its stores in the Florida market, and it has now been implemented at several Asbury stores nationwide. The company plans to complete the Clicklane rollout to all its stores by the end of the first quarter of 2021. 

The company also unveiled its five-year strategic plan to reach $20 billion of revenue by 2025 (20% compound annual growth), expand operating margins, and grow EPS in excess of revenue growth.  Specifically, the company highlighted:

  • Driving same-store revenue growth of $2 billion over five years,
  • Acquiring $5 billion of additional revenue over five years, and
  • Adding an incremental $5 billion of revenue through the new Clicklane platform.

About Asbury Automotive Group, Inc.

Asbury Automotive Group, Inc. (“Asbury”), a Fortune 500 company headquartered in Duluth, GA, is one of the largest automotive retailers in the U.S.  Asbury currently operates 91 dealerships, consisting of 112 franchises, representing 31 domestic and foreign brands of vehicles.  Asbury also operates 25 collision repair centers.  Asbury offers customers an extensive range of automotive products and services, including new and used vehicle sales and related financing and insurance, vehicle maintenance and repair services, replacement parts and service contracts.

Forward-Looking Statements

This press release contains “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements


LONDON–(BUSINESS WIRE)–Competition in the automotive industry has grown substantially in recent years due to globalization. There has been a rise in competition between domestic and international automakers, and the increasing demand for digitization has propelled costs and competition further. To stay ahead of the game, automotive companies need to identify industry benchmarks and compare their offerings, strategies, and processes with key competitors. Infiniti’s competitive benchmarking analysis solutions enable automotive industry players to efficiently compare their performance with industry leaders and make the required changes to improve overall brand performance and gain a crucial competitive edge.

To leverage Infiniti’s competitive benchmarking analysis solutions for comprehensive insights into how your offerings measure up against industry leaders, request a free proposal.

“The increasing demand for digitalization is pressurizing automakers to invest in technology and better supply and distribution chain management. Owing to such challenges, gaining a competitive edge has become all the more essential for companies in the automotive industry,” says an automotive industry expert at Infiniti Research.

Business Challenge:

The client, an automotive product manufacturer based out of Central Europe, faced challenges with rising competition and lost ground to new manufacturers and suppliers. The manufacturer sought to identify gaps and strengths in their offerings and performance compared with major automakers. The client also wanted to tackle challenges that arose from increasing customer expectations, improve their supply chain and distribution system, and gain a comprehensive understanding of their overall brand performance. Therefore, they approached Infiniti Research to leverage our expertise in offering competitive benchmarking analysis solutions. During the nine-week engagement, the automotive product manufacturer also sought to improve quality, reduce costs, and understand their financial position compared to key competitors and industry leaders.

Our Approach:

Infiniti’s competitive benchmarking analysis experts developed a comprehensive three-phased approach to assist the automotive product manufacturer. The plan included the following:

  • Analyzing operational performance, supply chain, and distribution processes and identifying processes that require improvement with process benchmarking
  • Identifying strategies employed by key competitors and providing strategies to adapt to recent innovations and advancements in technology with strategic benchmarking
  • Evaluating performance metrics and processes adopted by competitors’ and analyzing the financial performance of the client with performance benchmarking

Business Outcome:

By leveraging Infiniti’s competitive benchmarking analysis solution, the automotive product manufacturer successfully gained a comparative insight into their performance and understood how its processes, strategies, and performance compare with competitors and industry leaders. Consequently, the client identified gaps in their performance and offerings and implemented changes to improve their performance and gain a strategic edge. The automotive company also identified inadequacies in its supply chain and distribution processes and capital management. With these insights, the client was able to identify and make the changes required to meet customers’ needs and demands.

Additionally, with Infiniti’s competitive benchmarking analysis solutions, the client was also able to:

  • Meet industry standards by developing a standardized set of processes and metrics; To learn how read the complete article
  • Reduce operating cost by 20% within eight months
  • Generate savings of $7.8 million

Winmore Transforms the Transportation Pricing Process with New RateAI Solution

San Francisco, CA, November 17, 2020 –(– Winmore, the leading customer success platform for logistics companies, today unveiled RateAI to transform the transportation pricing process for freight brokers, carriers and third party logistics providers (3PLs). Winmore has partnered with Google to leverage its Cloud AI machine learning service to create RateAI’s cutting edge lane-level pricing and analytics.

Bringing order to the traditional chaos surrounding RFP response and pricing, RateAI streamlines the end-to-end transportation pricing process with lane/pricing standardization, automated qualification, predictive pricing and intelligent analytics. The solution takes multiple sources into account, e.g., historical bids, forecasted demand, load boards and marketplaces, historical shipments and carrier capacity and harmonizes pricing across those systems.

Running on Google Cloud AI Platform, RateAI is secure and provides a collaborative platform allowing brokers, carriers and forwarders to make intelligent decisions about RFPs.

“Often the RFP process is challenging due to the ever changing dynamics of our customers’ needs, carrier partners’ networks, and the overall volatility of the freight market,” said Tom Comstock, Director of Pricing at Kirsch Transportation, an Omaha, Neb.-based freight brokerage, Winmore customer and design partner in the new machine learning-based solution. “Now, with RateAI’s real-time insights, we can efficiently analyze bids and make more informed decisions on these ever-changing aspects.”

The RateAI suite of services runs on the Winmore customer success platform and is embedded in its award-winning RFP and Pricing Workflow; it includes the following:

– Rate Accelerator: Offers a real-time view into current bid value and RFP progress across the team, providing a single source of truth for pricing and rate/lanes changes. Data is consistently formatted across the organization providing round by round analysis of margins and awards.

– Rate Intelligence: Harmonizes company historical rates, TMS shipment costs and carrier lanes; this allows pricing analysts to instantly compare rates and margins, helping them quote the best price the first time. Users also access industry benchmarks on rates and services at the lane level to further validate pricing.

– Rate Advisor: Provides automated pricing advice leveraging customer data, market data and business heuristics to forecast pricing at the lane level that optimizes win rate and profitability.

“It is so important to consider rates that include variables such as fuel charges, accessorials and specialized equipment,” said George Chasteen, Vice President of Commercial at Mesilla Valley Transportation, an El Paso, Texas,-based logistics services provider, Winmore customer and design partner. “Taking all of these items into account, with a full view into historical pricing and industry benchmarks, reveals additional business trends and allows us to better determine lane level pricing strategies.”

“Previously, the RFP process has been manual, complex and time-constrained across the transportation industry, relying on inputs from a dynamic range of data sources,” explained Jeff Hiller, Winmore’s Vice President of Product Management. “We are delighted to now not only improve the efficiency of the pricing process, but apply a level of insight and analytics to the pricing process that has never existed in the transportation industry.”

Winmore’s RateAI will be available in


DULUTH, Ga., Nov. 16, 2020 /PRNewswire/ — Asbury Automotive Group, Inc. (NYSE: ABG) (“Asbury” or the “Company”), one of the largest automotive retail and service companies in the U.S., announced today that it will reschedule its call to announce the first-ever end-to-end car buying solution.  “We are more excited than ever about our industry-leading car buying solution, however, we are working through certain elements pertaining to our intellectual property rights,” said CEO & President David Hult. Asbury will announce the new date and time of the call within the next two weeks.

About Asbury Automotive Group, Inc.
Asbury Automotive Group, Inc. (“Asbury”), a Fortune 500 company headquartered in Duluth, GA, is one of the largest automotive retailers in the U.S.  Asbury currently operates 90 dealerships, consisting of 113 franchises, representing 31 domestic and foreign brands of vehicles.  Asbury also operates 25 collision repair centers.  Asbury offers customers an extensive range of automotive products and services, including new and used vehicle sales and related financing and insurance, vehicle maintenance and repair services, replacement parts and service contracts.

Forward-Looking Statements
This press release contains “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are statements other than historical fact, and may include statements relating to goals, plans, expectations and projections regarding the expected benefits of our end-to-end car-buying solution, management’s plans, projections and objectives for future operations, scale and performance, integration plans and expected synergies from acquisitions, our financial position, results of operations, market position, capital allocation strategy, business strategy and expectations of our management with respect to, among other things: changes in general economic and business conditions, including the impact of COVID-19 on the automotive industry in general, the automotive retail industry in particular and our customers, suppliers, vendors and business partners; our relationships with vehicle manufacturers; our ability to improve our margins; operating cash flows and availability of capital; capital expenditures; the amount of our indebtedness; the completion of any pending and future acquisitions and divestitures; future return targets; future annual savings; general economic trends, including consumer confidence levels, interest rates, and fuel prices; and automotive retail industry trends. The following are some but not all of the factors that could cause actual results or events to differ materially from those anticipated, including: the impact of the COVID-19 pandemic, market factors, Asbury’s relationships with, and the financial and operational stability of, vehicle manufacturers and other suppliers, acts of God or other incidents which may adversely impact supply from vehicle manufacturers and/or present retail sales challenges, risks associated with Asbury’s indebtedness (including available borrowing capacity, compliance with its financial covenants and ability to refinance or repay such indebtedness, on favorable terms), Asbury’s relationships with, and the financial stability of, its lenders and lessors, risks related to competition in the automotive retail and service industries, general economic conditions both nationally and locally, governmental regulations, legislation, adverse results in litigation and other proceedings, and Asbury’s ability to execute its technology initiatives and other operational


ROCKVILLE, Md., Nov. 11, 2020 /PRNewswire/ — CEVA, Inc. (NASDAQ: CEVA), the leading licensor of wireless connectivity and smart sensing technologies, today announced that Renesas has licensed a new, high-performance CEVA DSP to power its next-generation automotive System-on-Chip (SoC).

“We are honored that Renesas, a world leading  automotive semiconductor supplier, has selected our leading-edge DSP solution for its next-generation automotive SoC,” said Gideon Wertheizer, CEO of CEVA. “Automotive manufacturers are continually adopting more cameras, radars and other sensors throughout the car to ensure a safer and more automated driving experience. Our leading-edge DSPs along with our software framework and stringent safety support are set to play a pivotal role in deploying these complex systems.”

“In active safety and self-driving applications, DSP processing is a key IP for processing and segmenting sensor data generated by sensors on vehicles,” said Naoki Yoshida, Vice President of the Automotive Digital Products Marketing Division at Renesas. “CEVA’s automotive DSP solution helps us achieve the underlying processing capabilities required for the technological advances of our next-generation automotive SoC customers.”

CEVA’s DSP-based solutions for the automotive market target the most demanding sensor processing and AI workloads associated with automated driving and electrification. The NeuPro-S and SensPro products have been licensed by multiple automotive semiconductors and OEMs to power a variety of intelligent processors ranging from ADAS systems (Imaging, Driver Monitoring Systems, Intelligent Cameras, Radar, V2X Communications) battery management, and powertrain platforms. For automotive infotainment and in-cabin sensing, CEVA offers a range of sound, vision and sensor fusion hardware and software solutions that enhance the user experience and safety of occupants. For more information, visit

About CEVA, Inc.
CEVA is the leading licensor of wireless connectivity and smart sensing technologies. We offer Digital Signal Processors, AI processors, wireless platforms and complementary software for sensor fusion, image enhancement, computer vision, voice input and artificial intelligence, all of which are key enabling technologies for a smarter, connected world. We partner with semiconductor companies and OEMs worldwide to create power-efficient, intelligent and connected devices for a range of end markets, including mobile, consumer, automotive, robotics, industrial and IoT. Our ultra-low-power IPs include comprehensive DSP-based platforms for 5G baseband processing in mobile and infrastructure, advanced imaging and computer vision for any camera-enabled device and audio/voice/speech and ultra-low power always-on/sensing applications for multiple IoT markets. For sensor fusion, our Hillcrest Labs sensor processing technologies provide a broad range of sensor fusion software and IMU solutions for AR/VR, robotics, remote controls, and IoT. For artificial intelligence, we offer a family of AI processors capable of handling the complete gamut of neural network workloads, on-device. For wireless IoT, we offer the industry’s most widely adopted IPs for Bluetooth (low energy and dual mode), Wi-Fi 4/5/6 (802.11n/ac/ax) and NB-IoT. Visit us at and follow us on Twitter, YouTube,Facebook, LinkedIn and Instagram.

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AWS Connected Vehicle Solution architecture

When AWS IoT receives a message, it authenticates and authorizes the message and the Rules Engine executes the appropriate rule on the message, which routes the message to the appropriate backend application.

An AWS IoT rule sends telematics data to an Amazon Kinesis Data Firehose delivery stream, which encrypts and streams raw vehicle telematics data to an Amazon S3 bucket. If an Amazon Kinesis Data Analytics application detects an anomaly, the record is sent to Amazon Kinesis Data Streams, which invokes an AWS Lambda function that parses the record, stores it in an Amazon DynamoDB table, and triggers an Amazon Simple Notification Service (Amazon SNS) notification to users.

The trip data AWS IoT rule invokes an AWS Lambda function that processes vehicle telematics data during a trip and stores it in a DynamoDB table.

The driver safety score AWS IoT rule detects the end of a trip and invokes an AWS Lambda function that processes aggregate trip data to generate a driver’s safety score, trigger an Amazon SNS notification to the driver, and add the score to the trip data table.

The diagnostic trouble code AWS IoT rule detects diagnostic trouble codes in the IoT topic and invokes Lambda functions that store the trouble code in a DynamoDB table, translate the trouble code into layman’s terms, and trigger an Amazon SNS notification to the user.

The location-based marketing AWS IoT rule detects the location of the vehicle and invokes a Lambda function that determines whether the vehicle is near a point of interest. When the vehicle is near a point of interest, the function logs the location in a DynamoDB table and triggers an Amazon SNS notification to the user that contains an advertisement.

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