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Pinewood Technologies (PINE) investor relations material
Pinewood Technologies AI & Technology Virtual Investor Conference 2025 summary
Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.Strategic developments and market positioning
Transitioned to a standalone software company in January 2024, unlocking new market opportunities and removing previous competitive barriers.
Acquired Seez, an AI automotive company, in March, embedding advanced AI capabilities directly into the platform and differentiating from competitors.
Achieved less than 2% customer churn and 85%-90% recurring revenue, providing strong financial visibility and stability.
100% cloud-hosted solution, with plans for dual hosting (Microsoft and AWS), enhancing security and scalability.
Expanded global reach to 36 countries, with significant presence in the U.K., Europe, Asia, and entry into North America.
North American expansion and partnerships
Signed a major deal with Lithia to roll out the system across all U.K. and U.S. dealers, targeting a $9.3 billion addressable market.
Buyout of Lithia's JV share removed barriers to broader U.S. market access; rollout expected to double revenue by 2028.
Pilots in U.S. Lithia stores began this week, with full rollout starting in the first half of next year.
Established a strong U.S. team, with operations based in Florida and support from U.K. staff.
Targeting up to 20% U.S. market share, aiming for rapid dealer onboarding and aggressive growth.
Product innovation and operational efficiency
Platform eliminates need for multiple bolt-on systems, offering a unified solution that increases dealership efficiency and productivity.
Embedded AI (Sales AI, Service AI, chatbots) automates customer interactions and administrative tasks, reducing implementation time to days.
Data and analytics tools are fully integrated, improving reporting accuracy and timeliness.
Demonstrated ability to implement systems rapidly, with up to 14 dealerships converted in a single weekend.
AI-driven training and support tools reduce on-site staffing needs and accelerate user adoption.
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