Create More Personalised, Responsive and Intelligent Retail Experiences
Deploy AI agents to engage customers, coordinate commerce operations, optimise inventory, support merchandising and keep work moving across physical and digital channels.
From customer service and e-commerce to merchandising, store operations and fulfilment, agentic AI helps retailers move beyond disconnected tools and manual coordination towards customer-centric, data-driven operations.
RetailConnected customer and commerce operations
From Omnichannel Retail to Intelligent, Agentic Commerce
Retail has evolved from a store-led model into a connected ecosystem spanning physical stores, e-commerce marketplaces, social commerce, mobile applications, fulfilment partners and digital customer channels.
The next transformation is not simply adding more digital touchpoints. It is enabling intelligence to coordinate work across them.
Retail teams still spend significant time responding to repetitive enquiries, maintaining product information, preparing campaigns, monitoring inventory, reconciling orders and coordinating fulfilment across systems and channels.
Agentic AI can operate across this fragmented environment. AI agents can understand customer intent, interpret product and operational data, reason within business rules, coordinate multi-step workflows, personalise interactions and execute authorised actions—with employees retaining control over judgement, approvals and higher-risk decisions.
Consumers expect relevance and convenience
Customers increasingly expect personalised products, timely support, transparent information and seamless experiences across online and offline channels.
Retail models are becoming omnichannel
Retailers must coordinate stores, websites, marketplaces, social channels, customer data and fulfilment as one connected experience.
Supply chains must become more responsive
Demand volatility, product proliferation and multiple fulfilment options make forecasting, inventory visibility and exception management more complex.
Data is becoming operational
Retailers need to turn customer, product, transaction and inventory data into timely decisions—not only retrospective dashboards.
Manpower constraints require new operating models
AI agents can absorb repetitive work, support employees and help retailers scale service without scaling administrative effort at the same rate.
AI agents can understand customers, personalise engagement, coordinate commerce, optimise decisions and act.
From channel-by-channel execution to connected, agentic retail
| Area of work | Traditional retail | Digitally enabled retail | Agentic retail |
|---|---|---|---|
| Customer engagement | Employees respond manually using information available in each channel. | Chatbots and CRM tools handle standard interactions. | AI agents understand context, personalise responses and coordinate follow-up across channels. |
| Product discovery | Customers browse categories or rely on sales associates. | Recommendation engines suggest products based on predefined signals. | Agents conduct conversational discovery, explain trade-offs and assemble personalised options. |
| Merchandising | Teams consolidate sales and stock data manually. | Dashboards improve visibility into performance. | Agents continuously analyse demand, inventory and customer behaviour, then recommend or initiate approved actions. |
| Commerce operations | Teams manage listings, orders and exceptions separately by platform. | Integrations automate selected transactions. | Agents coordinate product content, orders, fulfilment and exceptions across channels. |
| Marketing | Campaigns are planned and executed in batches. | Marketing platforms automate segmentation and distribution. | Agents monitor signals, create variants, orchestrate campaigns and optimise within brand and approval rules. |
| Store operations | Managers spend time consolidating reports and coordinating routine tasks. | Digital tools provide real-time operational visibility. | Agents monitor conditions, prepare actions and coordinate staff, inventory and customer-service workflows. |
Retail Roles Will Become More Customer-Centric, Data-Enabled and Multi-Dimensional
AI agents can take on repetitive and transactional tasks while augmenting employees with better information, recommendations and workflow support.
Work increasingly supported by AI agents
- Routine customer enquiries and product lookups
- Product listing creation and maintenance
- Order capture, validation and status updates
- Sales and inventory reporting
- Campaign content adaptation and scheduling
- Basic product recommendations
- Stock monitoring and replenishment alerts
- Returns, exchanges and service coordination
- Repetitive marketplace and back-office administration
Human contribution increasingly focused on
- High-touch customer engagement and advisory
- Brand storytelling and experiential retail
- Complex service recovery
- Commercial and merchandising judgement
- Creative direction and product innovation
- Omnichannel strategy
- Partner and supplier relationships
- Team leadership and workforce development
- Strategic decisions and responsible AI oversight
Technology fluency must be combined with customer and commercial judgement
Customer Experience Management
Understand journeys, needs and service moments across physical and digital channels.
Omnichannel Management
Coordinate customer, product, inventory and fulfilment experiences across channels.
AI and Digital Fluency
Use AI agents effectively, review outputs and recognise when human intervention is required.
Customer and Retail Analytics
Interpret behavioural, sales, inventory and campaign signals to support better decisions.
Merchandising Judgement
Balance customer relevance, inventory productivity, brand positioning and commercial goals.
Product Advisory and Storytelling
Translate product knowledge into relevant, engaging and differentiated customer experiences.
Human–AI Collaboration
Delegate appropriate work, validate outcomes and improve agent performance through feedback.
Adaptability and Innovation
Respond to changing consumer expectations, technologies, channels and business models.
Build an Agentic Workforce Across the Retail Value Chain
AI agents can support customer-facing experiences and the operational work behind them—from discovery and engagement to commerce, inventory, fulfilment and finance.
Customer Service and Shopping Assistant
Deliver personalised, contextual support across website, chat, messaging, social and in-store channels.
- Answer product and order questions
- Recommend relevant products
- Check availability and delivery options
- Escalate complex cases with context
Product Discovery and Recommendation Agent
Help customers navigate large assortments through conversational, needs-based product discovery.
- Understand preferences and constraints
- Compare products and explain trade-offs
- Recommend complementary items
- Support cross-selling and upselling
Product Content and Catalogue Agent
Create and maintain consistent product information across websites, marketplaces and internal systems.
- Generate product titles and descriptions
- Classify and enrich attributes
- Adapt content by channel and market
- Identify missing or inconsistent data
E-commerce and Marketplace Operations Agent
Coordinate repetitive operational work across marketplaces and countries.
- Monitor listings and orders
- Normalise different file formats
- Track platform exceptions
- Coordinate updates across systems
Order Intake and Fulfilment Agent
Convert customer requests into validated orders and coordinate downstream fulfilment activities.
- Interpret orders from multiple channels
- Validate customer and product data
- Clarify missing information
- Monitor fulfilment and exceptions
Demand Forecasting and Replenishment Agent
Continuously assess demand signals to support responsive inventory planning.
- Analyse sales and seasonality
- Incorporate promotions and external signals
- Flag stock-out and excess risks
- Recommend replenishment actions
Merchandising Intelligence Agent
Support assortment, product and promotion decisions with continuously updated retail insights.
- Analyse sales, margin and stock turn
- Identify category opportunities
- Monitor product performance
- Prepare assortment recommendations
Marketing Campaign Agent
Accelerate campaign planning and execution while preserving brand and approval controls.
- Generate campaign concepts and variants
- Adapt content by segment and channel
- Coordinate campaign calendars
- Summarise performance and recommend improvements
Customer Intelligence Agent
Turn customer interactions, reviews, transactions and behavioural data into actionable insight.
- Identify customer themes and needs
- Detect emerging sentiment and issues
- Generate segment insights
- Recommend experience improvements
Store Operations Agent
Support managers by monitoring operational conditions and coordinating routine work.
- Prepare daily operational briefs
- Monitor inventory and service issues
- Coordinate task follow-up
- Escalate exceptions and risks
Returns and Service Recovery Agent
Coordinate returns, exchanges, refunds and service recovery across channels and systems.
- Interpret customer requests
- Check policy and transaction history
- Initiate approved actions
- Escalate exceptions with full context
Retail Finance and Reconciliation Agent
Automate repetitive finance workflows across suppliers, channels and payment sources.
- Extract and validate invoices
- Reconcile transactions and payments
- Identify discrepancies
- Route exceptions for review
Start with a Proven Workflow. Expand Across Your Retail Operations.
Deploy a focused AI agent for a high-value customer or operational process, prove the impact and then scale across connected retail workflows.
Customer Service
Resolve common enquiries, provide contextual support and operate across customer communication channels.
Explore Customer Service →AI Receptionist
Handle enquiries, bookings and customer requests with fast, consistent and always-on assistance.
Explore AI Receptionist →Demand Forecasting
Analyse demand signals, improve forecast responsiveness and support better inventory decisions.
Explore Demand Forecasting →Sales Order Intake
Interpret customer orders, validate information and initiate fulfilment workflows across your systems.
Explore Sales Order Intake →Sales Quotation
Prepare accurate quotations faster while applying approved products, pricing and commercial rules.
Explore Sales Quotation →Invoice Reconciliation
Extract, validate and reconcile invoices while routing discrepancies for human review.
Explore Invoice Reconciliation →e-Invoicing
Automate invoice processing, validation and finance-system updates across supplier workflows.
Explore e-Invoicing →Build Your Own Retail AI Agent
Design an AI agent around your customer journeys, channels, systems, business rules and operating requirements.
Discuss Your Use Case →Move from Isolated AI Tools to an Agentic Retail Operating Model
Start with a focused customer or operational problem. Establish value, brand controls and employee confidence. Then connect agents across channels and workflows.
Discover
Identify high-value retail opportunities based on customer impact, operational effort, feasibility, risk and data readiness.
- High-volume customer enquiries
- Repetitive marketplace administration
- Manual product-content work
- Inventory and fulfilment bottlenecks
- Fragmented channel workflows
- Frequent exceptions and follow-ups
Assist
Introduce AI as a copilot while employees remain responsible for reviewing outputs and taking action.
- Draft customer responses
- Summarise reviews and feedback
- Create product-content drafts
- Prepare performance briefs
- Recommend products or actions
- Retrieve information across systems
Automate
Enable AI agents to execute selected workflows within approved brand, policy, commercial and operational controls.
- Resolve routine enquiries
- Maintain product listings
- Process orders
- Coordinate returns
- Monitor inventory
- Reconcile invoices and payments
Coordinate
Connect specialised agents across the customer and commerce lifecycle.
- Customer Engagement Agent
- Product Content Agent
- Commerce Operations Agent
- Inventory Agent
- Fulfilment Agent
- Finance and Reconciliation Agent
Transform
Redesign customer journeys, retail roles and operating models around effective human–AI collaboration.
- Humans focus on relationships and experience
- Agents manage repetitive coordination
- Humans lead creativity and commercial judgement
- Agents monitor signals and execute approved actions
Governance Across Every Stage
The objective is not autonomy at all costs. It is the right level of autonomy for each customer interaction, commercial decision and operational risk.
Your Retail Business Does Not Need Another Disconnected AI Tool.
Build an intelligent workforce of AI agents that can understand customers, coordinate workflows, support employees and execute work across your channels and systems.
Start with one high-value customer journey or operational process. Prove the impact. Scale across your retail business.