Amazon integrations bring Expedia, Angi, Square, and Yelp to Alexa+ in 2026

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Amazon announced four new integrations for its AI assistant Alexa+, connecting with Angi, Expedia, Square, and Yelp starting in 2026. Users will be able to book hotels, get home service quotes, and schedule salon appointments through voice commands. The move positions Alexa+ as an app platform, mirroring ChatGPT's strategy, as Amazon aims to transform how consumers interact with online services through natural language conversations.

Amazon Expands Alexa+ With Four Major Service Integrations

Amazon announced on Thursday that its AI-powered digital assistant Alexa+ will integrate with Angi, Expedia, Square, and Yelp starting in 2026, marking a significant expansion of the platform's capabilities

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. These Amazon integrations target practical consumer needs by enabling users to book hotels, get home service quotes, and schedule salon appointments through voice commands

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. Daniel Rausch, vice president of Alexa and Echo, stated that "a truly useful personal assistant needs to connect with services that customers rely on every day," emphasizing how each new integration brings Alexa+ closer to handling more of life's everyday tasks

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Source: PYMNTS

Source: PYMNTS

How the New Integrations Transform Alexa as an App Platform

The Expedia integration permits detailed user requests, allowing customers to compare options based on location, price, and amenities while booking hotel reservations instantly

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. Users can issue commands like "Can you find me pet-friendly hotels for this weekend in Chicago?" and Alexa+ processes the query, filters results, and presents matches with availability and ratings

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. Angi provides quotes for home services such as repairs and maintenance tasks, while Yelp contributes local business discovery and reviews within these interactions

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. The Square collaboration helps local businesses manage inventory and enables customers to discover beauty and wellness providers, including spas, hair and nail salons, and barbershops, with visibility into scheduling availability

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Natural Language Interactions Drive Autonomous Task Execution

Alexa+ already connects to Fodor for travel planning, OpenTable for restaurant bookings, Suno for music generation, Ticketmaster for event tickets, Thumbtack for local services, and Uber for ride-hailing

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. The AI assistant supports natural language interactions through back-and-forth conversations, allowing users to refine requests progressively based on follow-up clarifications or adjustments

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. This approach mirrors ChatGPT's app integrations within its chatbot interface, as Amazon positions the AI assistant to facilitate a broad array of online services through conversational exchanges

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. Reports from earlier this month indicate Amazon rebuilt Alexa+ with agentic AI, moving beyond scripted commands to autonomous task execution

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Early Adoption Patterns and Industry Implications

Amazon reports strong engagement with home and personal service providers, including Thumbtack for task-based hires and Vagaro for salon and spa bookings among early adopters

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. These interactions highlight preferences for service-oriented queries, offering a glimpse into how users might embrace this new model

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. The industry explores AI assistants as platforms for app-like functions to distribute AI capabilities widely, shifting from web or mobile app interactions to voice commands

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. User adoption hinges on perceived simplicity matching or exceeding traditional methods, as many consumers remain accustomed to engaging with online services through existing web or mobile apps

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Source: TechCrunch

Source: TechCrunch

What This Means for Commerce and Consumer Behavior

Adam Hiatt, vice president of fraud strategy at Spreedly, explained that agentic AI "inverts the responsibility of the purchasing experience from one where you have a customer going out to the merchant to saying, 'Hey, you come to me with what the proposal is'"

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. Under this model, intent becomes an actionable asset, with the agent's understanding of consumer preferences in areas like airline loyalty, preferred brands, environmental constraints, and dietary needs becoming ingrained into the shopping architecture

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. For AI providers to succeed in changing consumer behavior, they must at least match the breadth of online services provided by traditional app stores or excel at suggesting apps at the right time without seeming overly pushy

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. Watch for how quickly these integrations gain traction when they launch in 2026 and whether other service providers rush to join the platform.

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