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Scaling Dealership Voice AI at Lokam.ai

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About Scaling Dealership Voice AI at Lokam.ai

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In this episode, Laurent Cochet interviews Muhammed Saleeq, co-founder and CEO of Lokam, about how AI is transforming automotive retail through innovative voice AI solutions. They explore the company's journey, technological insights, and future plans for scaling impactful AI-driven dealership solutions. key topics AI transformation in automotive retail Lokam's voice AI platform and its impact Customer sentiment analysis and proactive engagement Challenges in scaling AI solutions in dealerships Trust and transparency in AI customer interactions Early validation and growth metrics for AI products Industry shift towards AI adoption in automotive key frameworks Customer Sentiment Analysis Trust and Transparency in AI action items Build trust through transparency and honest communication with customers Focus on outcome-driven product development Leverage domain expertise to stand out in automotive retail Titles Revolutionizing Car Dealerships with Voice AI How Lokam Is Changing Automotive Customer Service sound bites "We help dealerships understand honest customer sentiments" "Customer feedback should be genuine and not robotic" "It takes time to move from initial contact to deployment" Chapters 00:00 Introduction to AI Interconnect and Guest 944:21:25 Guest background and journey to founding Lokam 3777:41:38 Saleeq's transition from automotive engineering to AI 7583:15:23 What Lokam does for automotive dealerships 10777:42:23 Economic impact of unsold showroom leads and repair orders 12249:55:51 Handling genuinely unhappy customers with AI 14583:15:55 Lessons learned from building Lokam 16555:29:22 Collecting honest customer sentiments effectively 199444:23:00 Transparency and trust in AI customer calls 220833:16:35 Detecting customer frustration levels with AI 243888:50:07 Data privacy and guardrails in AI interactions 251666:36:49 Early validation and scaling success 290277:43:51 Key outcomes and future growth plans 332777:44:22 Timeframe for dealership onboarding 361944:24:42 Proving impact on sales and retention 391111:05:00 Industry challenges and technological shifts 408055:31:46 Building trust in automotive retail with AI 455833:19:10 Scaling and future ambitions 495277:46:14 Expanding international reach and resources 514444:26:25 Transforming dealership-customer relationships 545555:33:20 Advice for founders entering relationship-driven industries 577222:13:20 Lessons for young entrepreneurs and risk-taking 596666:40:00 Closing remarks and contact information LinkedIn - https://www.linkedin.com/in/muhammed-saleeq/ keywords AI, automotive retail, voice AI, customer experience, dealership automation, Locam, entrepreneurship, technology scaling, Muhammed Saleeq, Lokam.ai, dealership voice AI, automotive artificial intelligence, AI for car dealerships, automotive retail technology, dealership follow-up automation, unsold showroom follow-up, dealership customer retention, service customer follow-up, AI BDC, conversational AI for dealerships, automotive sales automation, dealership sentiment analysis, dealership CSI improvement, dealership reputation management, dealer group technology, vertical AI SaaS, branded caller ID, multilingual voice AI, dealership lead conversion, automotive customer experience, agentic AI, US dealership technology, AI InterConnect Podcast #AIInterConnect, #AIInterConnectPodcast, #MuhammedSaleeq, #LokamAI, #Lokam, #FounderPodcast, #AutomotiveAI, #DealershipAI, #VoiceAI, #ConversationalAI, #DealerTech, #AutomotiveRetail, #VerticalAI, #AgenticAI, #ArtificialIntelligence, #SaaS, #Automation, #DealerGroups, Muhammed Saleeq, Co-Founder and CEO of Lokam.ai, joins AI InterConnect to explain how dealership voice AI can recover lost vehicle sales, identify unhappy service customers, and improve customer retention without adding headcount. Muhammed shares how a frustrating service call involving his father inspired Lokam, why transparent AI conversations outperform impersonal surveys, and how the platform follows up with unsold showroom visitors and service customers at scale. He also discusses dealership trust, branded caller ID, sentiment detection, measurable ROI, vertical AI expertise, and Lokam’s goal of supporting 250 dealerships over the next 12 months. Discover why successful automotive AI must fit real dealership operations, how Lokam answers concerns about customers speaking with AI, and what founders entering relationship-driven industries should learn about trust and execution. Subscribe to AI InterConnect for conversations with founders building practical AI solutions for real business problems.

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