Aurevia

What Aurevia does

Aurevia.io empowers SMBs with 24/7 AI Sales Rep agents trained on modern sales strategies to engage customers, recommend products, upsell/cross-sell, track inventory/calendar, and close sales. It also provides robust analytics on AOV, total conversion rate, chat sentiment, repeat customer rate, stock turnover rate, top-performing products, and ROI on promotions. The goal is to let AI handle sales and revenue generation for SMB owners, allowing them to focus on their core business. Aurevia offers a consultative AI sales co-pilot for Shopify that runs discovery, nudges AOV, answers post-purchase questions, and shows revenue impact, aiming to be a selling bot rather than just a support bot. It is native to Shopify, integrating seamlessly with product data, cart, and checkout.

Products

• Aurevia | Shopify AI Sales AgentA consultative AI sales co-pilot for Shopify that runs discovery, nudges AOV, answers post-purchase questions, and shows revenue impact. It aims to convert visitors 24/7.
• Automated ResponsesCatalog-grounded answers for pre-sales, shipping, and policy, providing instant clarity while the AI continues selling.
• Ticket ManagementEscalate complex threads with full context, including cart and history, for human handoff when necessary.
• Multilingual SupportProvides the same products, brand voice, and selling rules in multiple languages.
• Product RecommendationsConsultative discovery and curated product picks with add-to-cart functionality in chat to lift conversion and average order value.
• Cart RecoveryIn-session nudges, free-shipping prompts, and checkout links to prevent bounces.
• Lead QualificationCaptures emails and high-intent signals from paid traffic, exports leads, and facilitates follow-up on opportunities.
• Performance DashboardA merchant view of conversations, revenue signals, and AI health at a glance.
• Conversation AnalyticsProvides insights into why shoppers ask questions, where they drop off, and which flows are successful, to improve playbooks.
• ROI TrackingAttributes revenue to the AI, including assisted purchases, upsells, and recommendations.
• Shopify IntegrationNative Shopify app for quick install, product sync, cart and checkout in context, using the store as the system of record.
• Custom APIWebhooks, REST, and custom stacks for dev teams to connect Aurevia to other operations.

Key capabilities

• 24/7 AI Sales Rep agents
• Trained on modern sales strategies
• Engage customers
• Recommend products
• Upsell/cross-sell
• Track inventory/calendar
• Close sales
• Robust analytics (AOV, conversion rate, chat sentiment, repeat customer rate, stock turnover rate, top-performing products, ROI on promotion)
• Automated Responses (catalog-grounded)
• Ticket Management (escalation with context)
• Multilingual Support
• Product Recommendations (consultative, in-chat add-to-cart)
• Cart Recovery (in-session nudges)
• Lead Qualification (capture emails, high-intent signals)
• Performance Dashboard
• Conversation Analytics
• ROI Tracking
• Native Shopify Integration
• Custom API (webhooks, REST)
• Fast setup (hours, not months)
• All-in-one thread (sales, pre/post support)
• Ecommerce-native (recommendations, cart context)
• Guardrails (grounded in store data)
• Escalation-ready (human handoff with full history)
• Sales-aware, not ticket-first
• Always-on without sounding robotic (set tone, vocabulary, selling rules)
• Ingest your truth (catalog, FAQs, policies)
• Natural language processing
• Merchant in control (rules, voice, escalation)
• No-code, brand-styled customization
• Rules you can read (plain English merchant instructions)
• Revenue attribution for budgets
• Multi-team alignment
• Scale headcount with leverage
• Document what 'good' looks like (turn rep's talk track into rules)
• Curated shortlists for recommendations
• In-chat purchase actions (add to cart, line-item edits)
• Complements and bundles that feel helpful
• Works with merchandising story
• Intent-based product discovery
• Process-driven for enterprise (staging, sign-off, success criteria)
• Integration-first mindset
• Scale without re-platforming Shopify
• Region and policy complexity handling
• Partner-friendly

Use cases

• Increase sales conversion (guided discovery, cart nudges, bundle logic)
• Automate customer support (deflect WISMO and returns questions)
• Gain customer insights (turn every chat into data)
• Answer pre-sales questions
• Handle shipping inquiries
• Address policy questions
• Triage complex support threads
• Provide product recommendations
• Upsell and cross-sell products
• Recover abandoned carts
• Qualify leads
• Track sales performance and AI health
• Improve playbooks with conversation intelligence
• Attribute revenue to AI interactions
• Manage product and policy changes dynamically
• Support founder-led brands with sales and support
• Reduce support load by answering common questions instantly
• Scale sales strategy for growing businesses
• Govern model behavior in regulated categories

AI approach

Aurevia.io provides an AI sales co-pilot for Shopify stores, using AI to engage customers, recommend products, upsell/cross-sell, track inventory/calendar, and close sales. It offers automated responses, product recommendations, cart recovery, and lead qualification, all grounded in the store's catalog, policies, and brand voice. The AI is designed to be consultative and revenue-aware, with merchant-controlled rules and playbooks.

Tech named: Artificial Intelligence, LLM, RAG, Generative AI, Conversational AI, Virtual Agents, Machine Learning, Autonomous Agents, Multi-Agent Systems, Agentic RAG, Deep Learning

Industries served

• Fashion & Apparel
• Health & Beauty
• Fitness & Supplements
• Electronics
• Home & Garden
• E-commerce (general)

What it says sets it apart

• Consultative AI sales co-pilot, not just a support bot
• Native Shopify app, not bolted on
• AI doesn't just answer questions, it sells
• Provides robust analytics beyond message counts (AOV, conversion, ROI)
• Ecommerce-native responses grounded in store data and merchant rules
• Sales-aware, not ticket-first approach to automated responses
• Ability to set tone, vocabulary, and plain-English 'selling rules'
• Escalation with full context for human handoff
• Intent-based product recommendations, not just keyword matching
• Curated shortlists for recommendations to reduce decision fatigue
• In-chat purchase actions (add to cart, line-item edits)
• Process-driven approach for enterprise-grade deployments, including legal and security reviews
• Scales with business size from small to enterprise
• Focus on revenue impact and ROI tracking
• No-code customization for brand styling and rules