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    AI-driven retail operations with ServiceNow and TCS

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    AI-driven retail operations with ServiceNow and TCS
    The article explores how retailers can transition from reactive demand management to delivering seamless, “delight-driven” experiences by leveraging AI-powered workflow orchestration. It highlights that despite AI being a top priority, fragmented operations and disconnected data hinder value realisation. A unified approach—combining data, AI, and workflows—is essential to enable real-time decision-making and integrated execution across customer service, store operations, supply chain, and employee functions.
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    Highlights

    • Retail organisations face rising volatility as artificial intelligence (AI) becomes a top priority, but fragmented operations and disconnected data limit impact—making integrated, real‑time workflow orchestration essential.
    • The combination of ServiceNow’s AI-powered workflow platform and TCS’s deep retail domain expertise, delivered through TCS’s certified vast pool of domain experts, creates a compelling transformation path for retail companies.
    • With TCS and ServiceNow, retailers gain a unified execution layer that links data, intelligence, and action across the enterprise—supporting scenarios from customer service and store operations to asset uptime, employee support, and vendor coordination.
    • Learn from real-world use cases that can help retailers shift from reactive demand management to intelligent, orchestrated, and delight-driven operations at scale.

    On this page

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    Approach   inpage
    Platform   inpage
    Observations   inpage
    TCS assets   inpage
    AI use cases   inpage
    Conclusion   inpage
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    Overview Challenges Approach Platform Observations TCS assets AI use cases Conclusion

    Overview

    Retail and consumer product organisations are operating in an environment defined by volatility, complexity, and accelerating expectations. 

    A convergence of forces— geopolitical disruption, regulatory pressure, talent scarcity, and rapid advances in artificial intelligence (AI)—is shaping the future of retail and consumer supply chains. These forces have underscored the challenges that fragmented operations, disconnected data, and siloed execution pose for retailers, preventing them from turning AI investments into real business value.  

    To move from managing demand to delivering delight, organisations must simplify operations, enable real-time decisioning, and orchestrate work seamlessly across customer-facing and back-office functions. 

    This is where the combination of ServiceNow’s AI-powered workflow platform and TCS’s deep retail domain expertise, delivered through low-code, no-code assets, creates a compelling transformation path.

    Challenges

    Retail organisations are under pressure to deliver seamless customer experiences, resilient operations, and empowered frontline teams.

    Companies must deliver all this while managing cost and complexity. ServiceNow has evolved into a unified ‘AI + Data + Workflow’ platform, positioning itself as a system of action across customer service, supply chain, field service, information technology (IT), human resources (HR), and store operations.

    Approach

    To address the growing complexity of retail operations, organisations need a unified, intelligent, and connected approach (see Figure 1). 

    Unified consumer experience 

    ServiceNow connects customer interactions with backend processes, providing a single view of issues, orders, and requests across channels. This enables faster, more consistent, and personalised service.

    Intelligent demand and operations alignment 

    AI‑driven insights help anticipate demand patterns, align supply and service operations in real time, and reduce stockouts, delays, and over‑servicing.

    Connected operations 

    The platform links customer service, store operations, field service, and IT into end‑to‑end workflows—reducing handoffs, automating resolution, and improving cross‑functional coordination.

    Proactive service delivery 

    Predictive signals identify and address issues before they impact customers, improving uptime, trust, and brand loyalty.

    Scalable automation 

    Routine tasks are automated across departments, freeing capacity for higher‑value work and driving sustainable productivity gains.

    Phased transformation

    Retail organisations should avoid ‘big‑bang’ transformations in favour of phased execution:

    1. Stabilise and unify: Establish a single intake and visibility layer for high‑friction workflows

    2. Automate and assist: Introduce AI, guided workflows, and automation

    3. Connect data and act: Expand data connectivity to enable contextual AI orchestration

    4. Scale packaged outcomes: Roll out additional use cases with key performance indicator (KPI)‑driven governance

    Critical enablers include strong data quality, governance, change management, and a clear operating model for AI trust and accountability.

    Platform

    ServiceNow’s retail-focused platform delivers next-gen customer experience and connected operations for the modern retailer.

    Industry‑specific workflow orchestration

    ServiceNow’s retail industry solution focuses on customer satisfaction, growth, store productivity, and cost efficiency. Key capabilities include connecting headquarters, stores, and regional teams; automating store tasks; enabling employee self‑service; streamlining vendor and procurement workflows; and orchestrating site openings on a single AI‑enabled platform.

    From automation to AI‑infused workflows

    With Now Assist, ServiceNow embeds generative AI (GenAI) directly into workflows, supporting case summarisation, conversational interactions, contextual guidance, and faster issue resolution. The emphasis is not on AI for its own sake, but on AI that removes friction from work.

    Strengthening the enterprise data foundation

    ServiceNow’s Workflow Data Fabric and Workflow Data Network unify structured, unstructured, real‑time, and third‑party data across enterprise systems such as enterprise resource planning (ERP), point of sale (POS), order management system (OMS), customer relationship management (CRM), and supply chain platforms. This creates the foundation for AI agents to act with context, governance, and trust—critical for scaling enterprise AI in retail.

    Observations

    Retailers must take swift action on AI possibilities, and TCS and ServiceNow are poised to help.

    ServiceNow is becoming a system of action across store operations, customer service, procurement, IT, and employee support; it is not just an IT service management (ITSM) tool.

    AI delivers value only when embedded in workflows and grounded in enterprise data, supported by strong governance and controls.

    Frontline enablement is central to retail success, balancing customer outcomes with workforce productivity and experience.

    Ecosystem integration is a differentiator, as retailers demand seamless connectivity across complex application landscapes. 

    Packaged, outcome‑driven solutions matter more than generic platforms, accelerating time to value and reducing transformation risk.

    Retail domain expertise

    TCS’s retail domain functional expertise combines ServiceNow’s platform with TCS’s deep retail expertise to deliver modular, AI‑driven outcomes.

    Key capabilities

    • Execute business-aligned ServiceNow strategy supporting omnichannel communication and real‑time collaboration

    • Translate retail business needs (store ops, supply chain, customer service) into ServiceNow solutions

    • Define road maps aligned to digital transformation and omnichannel goals 

    • Ensure end-to-end process design and implementation, with focus on store operations, supply chain disruptions, and facilities management

    • Optimise store operations, enabling faster resolution of store issues (POS, kiosks, inventory systems) and delivering a centralised store helpdesk

    • Transform customer experience, with a focus on managing omnichannel customer queries

    Retail functional experts at TCS with deep ServiceNow expertise don’t just configure the platform, they transform retail operations end-to-end by aligning technology with business outcomes, improving efficiency, and enhancing customer experience. 

    AI use cases

    New AI use cases for retail are emerging to address today’s challenges.

    Omnichannel customer service and case triage

    ServiceNow CSM, Now Assist, and Workflow Data Fabric unify customer cases across channels, summarise interactions, classify issues, and route work intelligently, delivering faster resolution and consistent experiences.

    Returns, refunds, and order exceptions

    Integrated workflows across systems for Enterprise Resource Planning (ERP), Customer Service Management (CSM), Order Management Systems (OMS), Point of Sale (POS), and finance streamline exception handling, entitlement checks, refunds, and customer communication, improving recovery and reducing churn. 

    Store operations command centre

    Retail workflows centralise store issues, tasks, and escalations, giving managers and headquarters real‑time visibility while reducing manual coordination and follow‑ups.

    Predictive maintenance for store assets

    Field Service Management (FSM) and IT Operations Management (ITOM) leverage alerts and internet of things (IoT) signals to detect failures early, automate dispatch, and support technicians with mobile tools, improving uptime and consistency. 

    New store openings and remodels

    Workflow orchestration replaces spreadsheets and emails with structured task plans, dependency tracking, approvals, and risk detection, shortening opening cycles.

    Employee self‑service and frontline enablement

    Employee Centre, HRSD, ITSM, and Now Assist provide a unified support experience, improving productivity, adoption, and employee satisfaction. 

    AI‑ready data and decision orchestration

    Workflow Data Fabric and Network connect operational data across retail systems, enabling contextual AI, faster decisions, and higher return on investment (ROI) from automation initiatives.

    Conclusion

    The real power of ServiceNow lies in convergence. 

    When enabled with TCS functional consultants, retailers gain a unified execution layer that links data, intelligence, and action across the enterprise, supporting scenarios from customer service and store operations to asset up-time, employee support, and vendor coordination.

    Expected business impact and KPIs

    ServiceNow‑led retail transformations should be anchored in measurable outcomes:

    • Customer outcomes: Resolution time, first‑contact resolution, Customer Satisfaction Customer Satisfaction Score (CSAT) and Net Promoter Score® (NPS®), returns turnaround 

    • Store operations: Task service level agreement (SLA) adherence, backlog reduction, store opening cycle time

    • Asset performance: Uptime, mean time to dispatch and repair, technician productivity

    • Employee experience: Self‑service adoption, fulfilment time, front-line productivity

    • AI and automation: Automation rate, data coverage, reduced manual effort, cost savings per workflow 

    The ‘demand to delight’ journey has become more urgent. Market volatility, omnichannel complexity, talent constraints, and AI acceleration leave little room for fragmented operations or isolated pilots. ServiceNow’s evolution into an AI‑native, data‑connected workflow platform—combined with TCS’s industry expertise and packaged outcomes—offers retailers a practical, scalable path forward.

    The most credible transformation message is not ‘AI everywhere’, but ‘AI and automation where it matters most’. When focused on critical workflows and executed with discipline, ServiceNow and TCS can help retailers shift from reactive demand management to intelligent, orchestrated, and delight‑driven operations at scale.

     

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