LAS VEGAS, Nov. 7, 2026 /PRNewswire/ -- At the recently concluded AAPEX 2026, more than 45,000 professionals from 128 countries and regions and over 2,500 exhibitors gathered in Las Vegas, a clear sign of sourcing demand across the global automotive aftermarket. At the same time, a long-standing industry challenge has become harder to ignore: as vehicle model counts keep climbing and model refresh cycles shorten, global repair networks are commonly facing difficulties in parts data matching, fragmented supply sources, low quotation efficiency, and insufficient repair technical capabilities.

In response to these bottlenecks, Li Li, CEO of International Business at CassTime, introduced an AI-driven "T+D Solution" at the 2026 CassTime Partner Conference. T refers to Digital Trade, which connects supply with overseas procurement demand through the CassChoice platform; D refers to an intelligent localized service platform, which uses PartGrid to bring parts matching, repair support, and insurance claims assessment capabilities to local markets. The solution has already been put into practical operation in markets such as Saudi Arabia.

Industry Bottlenecks: Data Matching and Repair Capability Are Global Challenges

Li Li noted that channel and market-access conditions vary significantly across regions: the Middle East has many new vehicle models and a growing number of supply channels; Brazil has a complex channel and market-access system; Central Asia's supply channels are being restructured; and North America has mature certification and channel requirements for branded parts. The common challenges are concentrated in four areas: data matching, supply stability, quotation and delivery efficiency, and local repair service capability. Insufficient data leads to matching difficulties, fragmented demand leads to unstable supply, and local repair capabilities are difficult to build up quickly.

"After decades of development, the automotive aftermarket has formed a complete supply chain system, and CassTime has also built a digital system covering the entire value chain," Li Li said. "We hope to translate proven digital practices into a holistic solution that can be implemented overseas, covering both parts and repair services."

Li Li emphasized that China's auto parts industry has been tempered through intense competition and has long built a comprehensive domestic supply chain. In particular, its parts SKU coverage for Chinese-brand vehicles is especially complete: Chinese vehicle models have a large installed base and rapid update and iteration cycles. Leveraging deep accumulation in the local market, CassTime has formed the industry's most complete coverage in parts data, VIN decoding, and repair cases for Chinese-brand vehicles. This is also the foundation of the T+D Solution. Supported by this most complete Chinese-brand vehicle SKU database, wherever Chinese-brand vehicles go in the world, CassTime can bring along the parts supply and repair experience already proven in China, enabling overseas partners to share the best practices of China's supply chain.

CassChoice: Digital Trade to Solve Supply-Demand Matching Challenges

In traditional procurement scenarios, when a customer submits demand for hundreds of thousands of SKUs, it usually requires manual order splitting, separate inquiries to multiple suppliers, quotation consolidation, and delivery in batches—a long and inefficient process. The CassChoice system can automatically break down demand, generate batch quotations, track order status, and output reports. The relevant data can also be used for demand tracking and analysis—a direct manifestation of using AI and digital tools to solve "difficult data matching and fragmented supply."

According to CassTime, its overseas platform has accumulated more than 5 million SKUs—with particularly complete SKU data for Chinese-brand vehicles—and can generate quotes in seconds for more than 10,000 SKUs. On the supply side, CassChoice connects factories, brands, and distributors, helping overseas customers complete sourcing, procurement, and local delivery, and efficiently matching fragmented supply with fragmented demand on a digital platform.

PartGrid: AI Agents to Fill Local Repair Capability Gaps

To address matching challenges caused by the large number and rapid updates of vehicle models, PartGrid integrates CassTime's VIN decoding system to help local partners achieve precise matching just as they would in China, reducing error rates. Multilingual communication is handled by AI, enabling barrier-free interaction. The platform can use formats such as WhatsApp Chatbot to connect with local users, adapting to the usage habits of small repair businesses and end users.

Beyond parts circulation, PartGrid also provides three AI agent service capabilities: an AI Repair Master, which synchronizes accumulated repair data and cases to local markets to help solve technical difficulties, especially overseas repair of Chinese vehicle models; an insurance claims assessment agent, which combines real-time fault analysis, parts matching information, and labor-hour estimation to support efficient implementation of insurance business; and an AI Seller, which provides accurate and timely quotations around the clock. Together, these three capabilities form a localized service loop of "parts + repair + insurance," directly addressing the industry bottleneck of "repair capability falling behind."

Saudi Arabia Case: Localized Operations Starting from Claims Scenarios

CassTime's partner in Saudi Arabia is a Middle East technology company that manages insurance business. Its digital platform, Tamam, handles related business for nearly half of Saudi Arabia's insurance companies. The two parties began their cooperation with online access in claims scenarios: through PartGrid, the partner's platform connects local car owners, workshops, and the supply chain to enable digital tracking and management of the process; through CassChoice, it connects supply, opening up the parts value chain from source to end user.

On this basis, the cooperation has three expansion directions: extending application scenarios from claims to more end-user demand; as workshops adoption and business volume grow, more local suppliers join the platform; and upstream factories, brands, and distributors connecting to supply.

At present, CassTime has advanced implementation in the Middle East and is extending the mature model to Central Asia, South America, and other regions, accelerating the construction of a global parts service network. CassTime stated that it will continue to rely on AI and digital capabilities and work with local partners to jointly build a sustainable overseas service ecosystem.

About CassTime

CassTime Holding Co., Ltd. ( "CassTime") is a leading digital intelligence platform for the automotive aftermarket in China. It is committed to building AI-enabled digital infrastructure for all participants across the automotive aftermarket value chain, driving the industry's upgrade toward digital intelligence, standardization and efficient collaboration. The company focuses on auto parts trading, supply chain integration, digital intelligence management for workshops and end-consumer vehicle owner services. It has built a full-value-chain ecosystem covering upstream OEMs and auto parts manufacturers, auto parts distributors, auto service workshops and car owners.

Media Contact

Ben Chan
General Manager, North & South America
Email: ben.chen@casstime.com 
Phone: +86 186 6512 3710

Related Links

CassChoice – China Auto Parts, Direct Supply Worldwide

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