The retail industry is at a turning point, and Artificial Intelligence is the growth engine needed to compete. At the heart of this transformation are AI Agents for retail: intelligent software that is revolutionizing every aspect of the business, from operational efficiency to customer interaction.
As the Milan Retail Forum approached, taking place on November 12th and 13th, it was crucial to analyze the key trends. In this article, we review the Forum's agenda to identify the most interesting insights from the perspective of AI and Intelligent Agents, and understand how retailers are preparing to integrate this technology.
Table of Contents
- AI Agents for Retail: From Chatbots to Digital Consultants
- The Phygital Challenge: AI Enters the Store
- In-Store Innovation and Data-Driven Operations
- Operational Efficiency and Sustainability: Back-End AI
- How to Choose the Right AI Agent for Retail
- How to Choose the AI Agents Platform: Build vs. Buy
- FAQs – AI Agents for Retail
AI Agents for Retail: From Chatbots to Digital Consultants {#ai-agents-for-retail-from-chatbots-to-digital-consultants}
AI Agents for Retail are moving beyond simple chatbots to become true brand "digital consultants." The Retail Forum previewed discussions on how AI is driving omnichannel innovation for a 360° customer experience.
Key topics included:
- Omnichannel Consistency and Dynamic Loyalty: This topic was the focus of the panel "From AI Agents in Customer Care to International Growth: How Automation and Localization Create a Retail CX That Converts and Builds Loyalty." It explored how to build digital experiences across all channels that ensure consistency and continuity in the customer journey. The use of data and advanced technologies was at the heart of the discussion to create dynamic and personalized loyalty programs that convert and build loyalty.
- Speed and Personalization in Marketing: The case study "How AI Has Revolutionized the Speed and Responsiveness of Marketing Strategies: Concrete Results, Integration Strategies, and Overcoming Obstacles" explored how AI has transformed marketing strategies. The roadmap for automating operations and integrating AI into forecasting and proactively adapting to consumer trends was outlined, with the goal of achieving better targeting and personalization.
- Measuring Performance Without Barriers: This topic was addressed in several sessions, particularly in the roundtable "Omnichannel & AI: Innovative Processes for 360° Retail." It discussed how AI is driving seamless personalization and which metrics are essential for measuring and improving performance in this data-driven ecosystem.
The Phygital Challenge: AI Enters the Store {#the-phygital-challenge-ai-enters-the-store}
The vision of a 360° Customer Experience cannot ignore the physical store. AI is not confined to digital, but is the key tool for creating seamless phygital cohesion. The Retail Forum dedicated specific spaces to this transition, particularly with the roundtable "From Data to Dialogue: Intelligent Agents and the New In-Store Experience" and the panel "AI for the Best CX: Understanding, Engaging, and Building Customer Loyalty."
These sessions explored how AI Agents for Retail are transforming the store from a simple sales space to a highly responsive environment, capable of adapting in real time to customer needs and collecting valuable data to optimize the entire supply chain.
In-Store Innovation and Data-Driven Operations {#in-store-innovation-and-data-driven-operations}
The physical store is transforming into a phygital environment powered by artificial intelligence, with direct impacts on customer experience and operational efficiency. The Retail Forum hosted roundtables and panels to answer crucial questions.
The roundtable "From Data to Dialogue" focused on the technologies transforming the in-store experience and how the intersection between physical and digital is taking place. The central challenge was real-time personalization in the physical store.
The sessions dedicated to customer experience explored how AI and AI Agents for Retail enable concrete personalization of the customer journey. In the operational sphere, data-driven decisions were demonstrated that allow:
- A tailored assortment to effectively respond to local preferences
- The use of smart shelves to proactively improve product availability
- Proactive reduction of out-of-stocks
- Optimization of staff shifts based on expected traffic flows
Operational Efficiency and Sustainability: Back-End AI {#operational-efficiency-and-sustainability-back-end-ai}
AI agents for Retail don't just enhance the front-end of sales; they have a massive impact on business management, especially in resource optimization and sustainability, reducing waste and obsolescence.
The Retail Forum agenda promoted in-depth discussions on how AI is optimizing the back-end of retail:
Inventory Prevention and Optimization: Leading companies advanced their strategies by using AI to predict and reduce in-store obsolescence. This translates into improved product allocation and dynamic pricing and discount strategy definition.
Intelligent Inventory: The Forum explored how AI-based solutions are transforming simple physical inventory into a business intelligence tool, providing accurate and strategic data for the entire supply chain.
How to Choose the Right AI Agent for Retail {#how-to-choose-the-right-ai-agent-for-retail}
The Retail Forum addressed the recurring challenge of moving from tactical adoption to true strategic integration of AI. Therefore, it's crucial for leaders to prepare by knowing what to look for in an AI Agent solution.
The Essential Characteristics of AI Agents for Retail
Effective AI Agents for Retail must not only be "intelligent," but also reliable and integrated. Key characteristics include:
- Trustworthy AI: The Agent must operate with transparency, ethics, and justifiable decisions, allowing the retailer to trust its insights and actions.
- Native Omnichannel: It must seamlessly integrate across all touchpoints, from on-site chatbots to WhatsApp support, to in-store interactions.
- Data-Driven Personalization: The ability to use data to create dynamic loyalty programs, simplify product searches, and provide contextual responses is essential.
How to Choose the AI Agents Platform: Build vs. Buy {#how-to-choose-the-ai-agents-platform-build-vs-buy}
The choice between building AI internally (using development frameworks) or adopting ready-made solutions (No-Code/Low-Code platforms) is strategic.
1. Assess the Need for Customization (Flexibility)
Start by determining whether your AI Agents for Retail require maximum customization, perfectly adhering to unique processes and proprietary data (Build orientation), or whether a configurable solution, albeit within the limitations of the existing framework, is sufficient (Buy orientation).
2. Define Your Time-to-Market (Implementation Speed)
If your goal is to accelerate adoption and achieve rapid results (fast time to market), no-code/low-code (Buy) platforms are preferable. If you can afford longer development times and have specialized IT resources, you can opt for Build.
3. Plan Governance and Scalability
Determine whether you can and want to dedicate resources to building a robust and agile AI governance ecosystem internally (required for Build). Buy platforms often include pre-built governance and scalability mechanisms.
4. Analyze the Optimal Cost Model
Evaluate whether your budget is better suited to a high initial cost and maintenance for developers and infrastructure (Build) or a more predictable, medium-term cost based on licenses and usage (Buy).
5. Compare Internal vs. External Competencies
The final decision will depend on the company's digital maturity and the balance between the need for a highly specific solution (which requires the Build approach) and the priority of rapid adoption and integration (favored by the Buy approach).
As highlighted in the study "The Future of Intelligent Automation: How Low-Code/No-Code Platforms are Transforming AI Decisioning," published on ResearchGate in 2025, low-code/no-code platforms like Crafter.ai are simplifying the development of AI solutions, enabling companies to optimize decision-making and automation processes.
FAQs – AI Agents for Retail {#faqs--ai-agents-for-retail}
What are AI Agents for Retail and in which areas do they bring the most innovation?
AI Agents for retail are intelligent software that automate complex tasks and interact with customers and business systems, going beyond the concept of a simple chatbot. They bring innovation primarily in: personalized customer experience, omnichannel management, inventory optimization, predictive marketing, and operational sustainability.
How do AI Agents for Retail improve the in-store experience (Phygital)?
AI Agents for Retail are the key tool for creating seamless phygital cohesion. In-store AI has two main roles: Real-Time Personalization — using technologies to enable personalization in the physical store — and Data Hub and In-Store Operations — transforming the store into an intelligent data hub with data-driven decisions for tailored assortment and inventory management.
What is the difference between the "Build" and "Buy" approaches?
Build (Development Framework): Offers maximum flexibility and customization but involves slow implementation times and a high initial cost. Buy (No-Code/Low-Code Platforms): Allows for rapid implementation speed and more predictable license-based costs. Customization is good but limited by the platform's framework limitations.
How is ROI measured for AI Agents in retail?
Key KPIs include: reduction in operational costs, increase in omnichannel conversions, improvement in loyalty retention rate, reduction in out-of-stocks, increase in average transaction value through automatic upselling, and improvement in Net Promoter Score (NPS).
Which channels should a retail AI Agent cover?
An effective retail AI Agent should be present across all customer journey touchpoints: website, mobile app, WhatsApp, social media, Google Business, email, and in-store via digital kiosks or smart checkout systems. Native omnichannel capability is the fundamental requirement to ensure a consistent experience.
