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.
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.
Customers increasingly expect personalised products, timely support, transparent information and seamless experiences across online and offline channels.
Retailers must coordinate stores, websites, marketplaces, social channels, customer data and fulfilment as one connected experience.
Demand volatility, product proliferation and multiple fulfilment options make forecasting, inventory visibility and exception management more complex.
Retailers need to turn customer, product, transaction and inventory data into timely decisions—not only retrospective dashboards.
AI agents can absorb repetitive work, support employees and help retailers scale service without scaling administrative effort at the same rate.
| 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. |
AI agents can take on repetitive and transactional tasks while augmenting employees with better information, recommendations and workflow support.
Understand journeys, needs and service moments across physical and digital channels.
Coordinate customer, product, inventory and fulfilment experiences across channels.
Use AI agents effectively, review outputs and recognise when human intervention is required.
Interpret behavioural, sales, inventory and campaign signals to support better decisions.
Balance customer relevance, inventory productivity, brand positioning and commercial goals.
Translate product knowledge into relevant, engaging and differentiated customer experiences.
Delegate appropriate work, validate outcomes and improve agent performance through feedback.
Respond to changing consumer expectations, technologies, channels and business models.
AI agents can support customer-facing experiences and the operational work behind them—from discovery and engagement to commerce, inventory, fulfilment and finance.
Deliver personalised, contextual support across website, chat, messaging, social and in-store channels.
Help customers navigate large assortments through conversational, needs-based product discovery.
Create and maintain consistent product information across websites, marketplaces and internal systems.
Coordinate repetitive operational work across marketplaces and countries.
Convert customer requests into validated orders and coordinate downstream fulfilment activities.
Continuously assess demand signals to support responsive inventory planning.
Support assortment, product and promotion decisions with continuously updated retail insights.
Accelerate campaign planning and execution while preserving brand and approval controls.
Turn customer interactions, reviews, transactions and behavioural data into actionable insight.
Support managers by monitoring operational conditions and coordinating routine work.
Coordinate returns, exchanges, refunds and service recovery across channels and systems.
Automate repetitive finance workflows across suppliers, channels and payment sources.
Deploy a focused AI agent for a high-value customer or operational process, prove the impact and then scale across connected retail workflows.
Resolve common enquiries, provide contextual support and operate across customer communication channels.
Explore Customer Service →Handle enquiries, bookings and customer requests with fast, consistent and always-on assistance.
Explore AI Receptionist →Analyse demand signals, improve forecast responsiveness and support better inventory decisions.
Explore Demand Forecasting →Interpret customer orders, validate information and initiate fulfilment workflows across your systems.
Explore Sales Order Intake →Prepare accurate quotations faster while applying approved products, pricing and commercial rules.
Explore Sales Quotation →Extract, validate and reconcile invoices while routing discrepancies for human review.
Explore Invoice Reconciliation →Automate invoice processing, validation and finance-system updates across supplier workflows.
Explore e-Invoicing →Design an AI agent around your customer journeys, channels, systems, business rules and operating requirements.
Discuss Your Use Case →Start with a focused customer or operational problem. Establish value, brand controls and employee confidence. Then connect agents across channels and workflows.
Identify high-value retail opportunities based on customer impact, operational effort, feasibility, risk and data readiness.
Introduce AI as a copilot while employees remain responsible for reviewing outputs and taking action.
Enable AI agents to execute selected workflows within approved brand, policy, commercial and operational controls.
Connect specialised agents across the customer and commerce lifecycle.
Redesign customer journeys, retail roles and operating models around effective human–AI collaboration.
The objective is not autonomy at all costs. It is the right level of autonomy for each customer interaction, commercial decision and operational risk.
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.
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.
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.
Customers increasingly expect personalised products, timely support, transparent information and seamless experiences across online and offline channels.
Retailers must coordinate stores, websites, marketplaces, social channels, customer data and fulfilment as one connected experience.
Demand volatility, product proliferation and multiple fulfilment options make forecasting, inventory visibility and exception management more complex.
Retailers need to turn customer, product, transaction and inventory data into timely decisions—not only retrospective dashboards.
AI agents can absorb repetitive work, support employees and help retailers scale service without scaling administrative effort at the same rate.
| 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. |
AI agents can take on repetitive and transactional tasks while augmenting employees with better information, recommendations and workflow support.
Understand journeys, needs and service moments across physical and digital channels.
Coordinate customer, product, inventory and fulfilment experiences across channels.
Use AI agents effectively, review outputs and recognise when human intervention is required.
Interpret behavioural, sales, inventory and campaign signals to support better decisions.
Balance customer relevance, inventory productivity, brand positioning and commercial goals.
Translate product knowledge into relevant, engaging and differentiated customer experiences.
Delegate appropriate work, validate outcomes and improve agent performance through feedback.
Respond to changing consumer expectations, technologies, channels and business models.
AI agents can support customer-facing experiences and the operational work behind them—from discovery and engagement to commerce, inventory, fulfilment and finance.
Deliver personalised, contextual support across website, chat, messaging, social and in-store channels.
Help customers navigate large assortments through conversational, needs-based product discovery.
Create and maintain consistent product information across websites, marketplaces and internal systems.
Coordinate repetitive operational work across marketplaces and countries.
Convert customer requests into validated orders and coordinate downstream fulfilment activities.
Continuously assess demand signals to support responsive inventory planning.
Support assortment, product and promotion decisions with continuously updated retail insights.
Accelerate campaign planning and execution while preserving brand and approval controls.
Turn customer interactions, reviews, transactions and behavioural data into actionable insight.
Support managers by monitoring operational conditions and coordinating routine work.
Coordinate returns, exchanges, refunds and service recovery across channels and systems.
Automate repetitive finance workflows across suppliers, channels and payment sources.
Deploy a focused AI agent for a high-value customer or operational process, prove the impact and then scale across connected retail workflows.
Resolve common enquiries, provide contextual support and operate across customer communication channels.
Explore Customer Service →Handle enquiries, bookings and customer requests with fast, consistent and always-on assistance.
Explore AI Receptionist →Analyse demand signals, improve forecast responsiveness and support better inventory decisions.
Explore Demand Forecasting →Interpret customer orders, validate information and initiate fulfilment workflows across your systems.
Explore Sales Order Intake →Prepare accurate quotations faster while applying approved products, pricing and commercial rules.
Explore Sales Quotation →Extract, validate and reconcile invoices while routing discrepancies for human review.
Explore Invoice Reconciliation →Automate invoice processing, validation and finance-system updates across supplier workflows.
Explore e-Invoicing →Design an AI agent around your customer journeys, channels, systems, business rules and operating requirements.
Discuss Your Use Case →Start with a focused customer or operational problem. Establish value, brand controls and employee confidence. Then connect agents across channels and workflows.
Identify high-value retail opportunities based on customer impact, operational effort, feasibility, risk and data readiness.
Introduce AI as a copilot while employees remain responsible for reviewing outputs and taking action.
Enable AI agents to execute selected workflows within approved brand, policy, commercial and operational controls.
Connect specialised agents across the customer and commerce lifecycle.
Redesign customer journeys, retail roles and operating models around effective human–AI collaboration.
The objective is not autonomy at all costs. It is the right level of autonomy for each customer interaction, commercial decision and operational risk.
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.