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Indian retail’s next growth battle is relevance, convenience and experience
Our read
India’s omnichannel winners will use stores less as standalone sales floors and more as data-enabled relationship, experience and fulfillment assets.
For operators
Prioritize clienteling, unified inventory and store experiences, as targeted high-touch service can materially outperform its small staffing footprint.
Watch
Shoppers Stop or peers disclose further revenue contribution, repeat rates or basket-size uplift from personal shoppers and assisted selling.
The report,
Indian retail leaders said omnichannel consumers now demand personalised, frictionless and experiential shopping. Discussions covered Gen Z, premiumisation, creator-led demand, Tier-II/III expansion, smarter inventory, store technology and mixed-use mall destinations.
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Channel facts
From the report. Source details below
| 4th ETRetail ShopFWD Summit | 2026 |
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Also in the report
- Personal shoppers are about 3% of Shoppers Stop employees but contribute 26% of its business
- Forum Malls' biophilic designs raise construction costs by around 15% in some projects
- Levi's identified a three-to-five-year growth opportunity
What it means for online and offline
Look for capabilities in customer data, clienteling tools, inventory orchestration and in-store experience that can accelerate differentiated omnichannel relevance.
Signals to track
- Retailers report RFID rollout, inventory-accuracy gains, ship-from-store penetration or lower order-cancellation rates.
- Growth in appointment bookings, event attendance, loyalty-member frequency and store-assisted online conversion.
- Changes in associate compensation plans that explicitly reward omnichannel customer lifetime value.
- Rising return volumes or delivery-cost pressure that accelerates investment in stores as service and reverse-logistics nodes.
- Adoption of customer-data platforms, AI recommendations and consent-management tools by major Indian department stores, fashion chains and beauty retailers.
Likely next moves
Our read of what comes next — analysis, not reported by the source.
- Deploy associate-facing clienteling apps that surface consented customer preferences, past purchases, sizes, wish lists and recommended next actions.
- Create a store-attribution model covering assisted digital sales, endless-aisle orders, ship-from-store fulfillment, returns and loyalty-led repeat purchases.
- Prioritize real-time inventory accuracy in high-consideration and high-return categories before expanding same-day delivery promises.
- Redesign store incentives so associates receive credit for digitally completed sales they initiate or influence.
- Use appointments, workshops, beauty/fashion consultations and loyalty events to make flagship stores repeat-visit destinations.
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- Segment the store network into experience, service, pickup/returns and fulfillment roles rather than applying one format and KPI set everywhere.
The counter-case
The case against this reading — not reported by the source.
The signal may overstate a broad retail inflection from a conference narrative and one high-performing example. Personal shoppers can concentrate sales among already valuable customers without creating incremental demand, while adding substantial payroll, training and incentive costs. Store technology, real-time inventory and personalised journeys are capital-intensive and operationally difficult in India’s fragmented supply chains; poor data quality and weak fulfilment can turn “frictionless” promises into costlier service failures. Experience-led stores may lift footfall but not necessarily conversion, margin or repeat purchase, particularly for price-sensitive consumers.
The source
First seen