Duration: 46:35
🤖 Intelligent Automation Meets E-Commerce
Charlene and Juul from Veü, a fictional online bike shop, demonstrate how Odoo 19's AI features transform e-commerce operations by automating product page creation, optimizing SEO, personalizing customer interactions, and orchestrating marketing campaigns. The presentation showcases a comprehensive ecosystem where artificial intelligence handles repetitive tasks, allowing business owners to focus on growth rather than operations.
The demo reveals seven core AI capabilities integrated throughout Odoo 19: AI Fields that generate and improve data automatically, AI Agents that work like intelligent bots based on available data, AI Automations that combine multiple AI-powered fields, SEO optimization tools, an AI Text Editor for content refinement across applications, AI Transcripts that convert conversations into summaries, and AI Prompts for creating personalized email campaigns.
🛍️ Product Management Revolution
Creating products traditionally consumed significant time, requiring webmasters to craft descriptions, categorize items, suggest optional products, research competitive pricing, and estimate delivery times. With Odoo 19's AI capabilities, this entire workflow happens automatically based solely on the product name.
When Juul creates a new Canyon AL6 bike, the system immediately generates a comprehensive e-commerce description. The AI analyzes the product name and produces detailed, marketing-ready content. If the description needs refinement, the integrated text editor allows quick adjustments with simple natural language commands like "make it shorter."
Beyond descriptions, the system automatically assigns e-commerce categories, ensuring products appear in the correct browsing sections. For a bike shop, this means mountain bikes, road bikes, and city bikes are properly classified without manual intervention. The AI also suggests optional products based on what customers typically purchase together, such as tires, GPS units, or accessories, driving additional revenue through intelligent cross-selling.
Competitive pricing research, once a time-consuming manual process, now happens instantly. The AI browses the web, analyzes market prices for similar products, and suggests competitive pricing automatically. Delivery date estimation is calculated based on inventory lead times, giving customers clear expectations about when they'll receive their orders.
Multilingual support extends the automation further. With a simple command to the AI Text Editor, product descriptions translate into French, German, or any supported language, expanding market reach without hiring translators or spending hours with translation tools.
🔍 SEO Optimization Without the Guesswork
Visibility on search engines directly impacts e-commerce success, but optimizing product pages for SEO requires expertise most business owners lack. Odoo 19's integrated SEO tools democratize this process through AI-powered automation.
The Optimize SEO feature analyzes product information and generates meta titles and descriptions that search engines favor. These elements appear in search results, functioning as the digital storefront that determines whether potential customers click through to the product page. Beyond meta information, the AI suggests relevant keywords based on search patterns and competition analysis, ensuring product pages contain the terms potential customers actually use when searching.
While the demo focuses on Odoo's built-in capabilities, the system also integrates with external SEO tools for more advanced analytics, including search volume data and competition metrics. This combination of automated basics and optional advanced analysis ensures businesses can compete effectively regardless of their SEO expertise level.
💬 Conversational Commerce Through AI Agents
Without physical sales representatives, online shops need alternative ways to guide customers through complex purchase decisions. The AI Agent functionality creates an intelligent assistant that engages visitors, asks qualifying questions, and recommends appropriate products.
When a customer visits the bike shop feeling overwhelmed by options, they interact with an AI agent that initiates a structured conversation. The agent asks about riding style (dirt, road, mountain), height requirements, preference between muscular or electric bikes, and budget constraints. Based on these responses, the agent generates a customized URL that filters the catalog to show only relevant products within the specified parameters.
This conversational approach extends beyond product discovery. When customers need additional help, they fill out contact forms that automatically create CRM opportunities. The system captures customer details and initial questions, setting up the sales team for informed follow-up conversations.
🎙️ Voice Transcription Transforms Sales Intelligence
The AI Transcript feature introduces groundbreaking functionality for sales processes. When sales representatives call leads generated from website contact forms, they can record conversations directly within Odoo. The AI transcribes the entire conversation in real-time and generates comprehensive summaries highlighting key details.
This capability eliminates frantic note-taking during calls. Representatives focus entirely on building rapport and understanding customer needs while the AI captures everything. After the call, the system analyzes the transcript and the summary automatically suggests relevant products based on the conversation content.
In the demonstration, after discussing Joe's preference for mountain bikes suitable for uphills, downhills, and jumps with a budget between €200-€900, the system recommends the QML White Blue and Red 2024 in size L automatically populating this suggestion into the CRM opportunity. This transforms every sales call into structured data that drives informed recommendations.
📧 Marketing Automation with Dynamic Personalization
Marketing campaigns become significantly more sophisticated with AI-powered personalization. The Marketing Automation application now supports dynamic content that adapts based on individual customer data, moving beyond traditional static email templates.
Upselling campaigns demonstrate this capability effectively. After customers complete purchases, the system waits a specified period (such as one week) then sends automated emails featuring optional products relevant to their specific order. Unlike previous versions that could only reference the first item in an order, Odoo 19 targets all order line items, creating comprehensive product suggestion lists.
For Joe's bike purchase, the system automatically includes the mini pump and Continental dirt tires he viewed but didn't purchase, presenting these in a contextual "you might also need" format. Each product links directly to its website page, reducing friction in the purchase process.
Lost lead reactivation showcases another powerful application. Using natural language queries to the AI, marketers can request "show me all lost opportunities with the tag test bike." The system instantly filters the CRM, surfacing leads who expressed interest but never converted. From here, personalized reactivation emails generate automatically using AI Prompts that incorporate company names, contact details, and relevant context.
The AI Prompt feature allows creating email templates with sophisticated instructions about tone, audience, goals, and personalization requirements. For reactivating test ride leads, the system generates friendly, motivating emails that reference the specific company and demonstrate research, making recipients feel individually addressed rather than mass-marketed.
⚙️ Technical Configuration Made Accessible
Despite the sophisticated capabilities, configuring these AI features remains accessible to non-technical users, though Odoo Studio access provides the most flexibility. The demonstration walks through exact setup procedures for key features.
AI Automations use Studio's visual builder to create triggers and actions. For competitive pricing, the automation triggers after product creation, takes the product name, browses the web for similar items, and returns the best price to populate the sales price field. The process requires no coding—just natural language prompts describing the desired behavior.
Creating automations for e-commerce descriptions, category assignments, and optional product suggestions follows similar patterns. Each automation specifies when it triggers (usually product creation or update), which fields to analyze, and what action to take. For category assignment, automations can include specific rules: "if the bike is made for dirt, assign the mountain bike category."
AI Fields drag-and-drop from Studio's field palette. After selecting the field type (date, text, HTML, etc.), administrators write prompts describing what the field should contain. For expected delivery dates, the prompt instructs: "take today's date plus the customer lead time field and return the specific date." The system handles the computation automatically, refreshing daily through scheduled actions.
AI Agents configure through a dedicated AI application. Administrators select which underlying model to use (currently supporting ChatGPT and Gemini), choose between analytical (consistent answers) or creative (varied responses) modes, and optionally restrict knowledge sources. For the online expert agent, knowledge sources include specific documents and structured instructions about website URL patterns. The agent learns to ask qualifying questions and construct appropriate filtered URLs based on customer responses.
AI Prompts for personalized emails configure through email templates in technical settings. Templates specify which model they apply to (leads, opportunities, sales orders, etc.) and include detailed prompt instructions about tone, audience, goals, and personalization requirements. Dynamic placeholders insert customer-specific data like names, companies, and prior interactions.
🎯 Optional Product Intelligence Across Order Lines
A significant technical advancement in Odoo 19 addresses a limitation from previous versions. The new Optional Upsell Product field can analyze all products within a sales order, not just the first line item. This seemingly small change has massive implications for marketing automation and customer experience.
When customers purchase multiple items—a bike, helmet, and lights—the system now identifies optional products relevant to all three items rather than only the bike. Marketing emails become substantially more relevant, and the likelihood of additional purchases increases when suggestions align with the complete order context rather than a single item.
This capability relies on AI automation that triggers when sales orders reach "confirmed" status. The automation examines all order line items, identifies associated optional products for each, compiles them into a single list with direct website URLs, and populates the dedicated field. Marketing campaigns then reference this field to create dynamic email content.
🤝 Practical Considerations and Requirements
The Q&A session clarifies important implementation details. While many AI features work with standard Odoo, creating custom AI automations for product fields requires Odoo Studio. Marketing automation applications provide standard AI capabilities without Studio, making the choice dependent on specific business needs.
Custom tool integrations with AI agents are possible through Odoo's API, though technical development expertise is required. Properties can use AI, but custom AI fields created through Studio offer more flexibility in prompting and configuration.
Regarding costs, all attendees receive important news: Odoo currently doesn't limit AI requests per day. Users can utilize AI features extensively without token constraints or additional charges, though this policy may evolve as the product matures.
Creating multiple AI agents is fully supported, and while technically possible to prompt an agent to create other agents through server actions executing custom code, this advanced use case is better implemented through properly developed modules rather than Studio actions for stability and security reasons.
The presenters emphasize that everything demonstrated uses real Odoo 19 functionality available immediately—"it's not a dream, it's Odoo AI." Businesses can download and implement these features today with their own ChatGPT or Gemini API keys.
🧠 Viewpoint: Odoo Perspective
⚠️ Disclaimer: AI-generated creative perspective inspired by Odoo's vision.
What we're seeing here represents a fundamental shift in how businesses should think about enterprise software. For years, companies purchased systems and then spent enormous resources adapting their processes to fit the software's limitations. With AI deeply integrated at the platform level, the software finally adapts to the business instead. The beauty isn't just in automating repetitive tasks—it's in democratizing capabilities that previously required specialists. A small bike shop owner shouldn't need to hire an SEO expert, a professional copywriter, and a data analyst to compete online. These capabilities should be accessible to anyone building a business, and that's exactly what we're delivering. The integration across every module, from CRM to marketing to inventory, creates compounding benefits that isolated AI tools simply cannot match.
🏢 Viewpoint: Competitors (SAP / Microsoft / Others)
⚠️ Disclaimer: AI-generated fictional commentary. Not an official corporate statement.
Odoo's aggressive AI integration demonstrates their commitment to small and mid-market accessibility, which aligns with their historical positioning. However, enterprise environments present additional complexity layers that require consideration. Regulated industries need detailed AI audit trails, explainability for automated decisions, and compliance frameworks that simple prompt-based systems may not satisfy. The reliance on third-party AI services like ChatGPT and Gemini introduces data governance questions for organizations handling sensitive customer information or intellectual property. While the demonstration showcases impressive automation for straightforward e-commerce scenarios, enterprise deployments typically involve complex approval workflows, multi-tier pricing strategies, and sophisticated product configurators where AI suggestions require human oversight and validation. The Studio-based configuration approach works well for businesses with technical resources, but large organizations often prefer centrally managed AI policies and guardrails rather than distributed prompt engineering. Odoo's innovation in making AI accessible is commendable, though the path from impressive demo to production-ready enterprise deployment often surfaces unexpected challenges around performance at scale, integration with existing AI investments, and change management for organizations with established processes.
Disclaimer: This article contains AI-generated summaries and fictionalized commentaries for illustrative purposes. Viewpoints labeled as "Odoo Perspective" or "Competitors" are simulated and do not represent any real statements or positions. All product names and trademarks belong to their respective owners.