The Alana Auto Blog

Practical writing on AI for car dealerships — service lane operations, BDC efficiency, sales follow-up, and the strategy behind making it all work.

AI in Automotive

What if customers could track their service appointments without ever calling your dealership?

How AI-enabled customer portals are transforming the dealership service experience — real-time status, automated updates, and frictionless rebooking.

May 20265 min read
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AI in Automotive

McKinsey: 78% of dealers now plan AI adoption — so why are most CRMs still stuck in 2015?

McKinsey's 2026 automotive retail survey shows 78% of dealer groups are investing in AI. What it means for the future of dealership operations.

April 20267 min read
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AI in Automotive

Transforming service appointment scheduling with AI for car dealerships

How AI for dealership service can automate appointment booking, recall outreach, and missed-appointment recovery. Voice automation that cuts BDC costs by 55%.

April 20268 min read
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AI in Automotive

What is AI for car dealerships? A plain-English guide

A plain-English guide to AI for car dealerships. What it is, why automotive retail is uniquely suited to AI, and how to get started without ripping out your DMS.

March 20267 min read
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AI in Automotive

5 ways AI is reducing administrative burden for dealerships in 2026

Five concrete ways AI is cutting administrative overhead for car dealerships in 2026, from service scheduling to deal-jacket prep to compliance.

March 20267 min read
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Strategy Guide

The complete AI strategy roadmap for car dealerships

A 4-phase AI strategy roadmap for car dealerships — from foundation assessment to full-scale optimization over 18+ months.

March 202610 min read
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Automotive Sales

How AI is transforming the dealership sales process

How AI is automating the dealership sales process — instant lead response, intelligent inventory matching, predictive trade valuation, and follow-up automation.

February 20269 min read
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AI Strategy

Why 90% of AI projects fail — and how dealer groups can beat the odds

MIT and Forbes research finds 85-90% of AI projects fail due to poor data quality. Why CRM/DMS data governance is the #1 predictor of AI success in automotive retail.

February 20269 min read
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