D2C storefront on Next.js
A storefront rebuilt on Next.js for speed and SEO performance, giving the brand a fast, modern foundation for its online channel.
Leading Retailer from India · eCommerce / Retail
Turning Browsing Into Gifting: An AI-Powered Omnichannel Storefront
A unified D2C storefront with an AI gifting engine - connecting online and in-store inventory and turning gift discovery into a personalised, high-converting journey.
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Client overview
An India based lifestyle and home décor brand known for its quirky, India-inspired designs spanning 40+ product categories, sold across 100+ stores and a fast-growing direct-to-consumer (D2C) online channel.
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The challenge
A large share of the brand's online demand was occasion-driven - birthdays, anniversaries, housewarmings, festive gifting - yet the existing storefront treated every visitor the same way, surfacing generic category grids instead of curated gift ideas. Shoppers browsing for a gift had no fast path from "occasion and budget" to "the right product," which capped conversion and average order value. Behind the scenes, online and in-store inventory lived in disconnected systems, so the website regularly showed stock that had already sold out at a physical store, eroding customer trust and driving avoidable cancellations.
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Our solution
Baaz built a performant, modern D2C storefront for the brand on Next.js, anchored by an AI-driven gifting engine that curates personalised gift sets based on occasion, budget, and recipient profile. Online and offline inventory were unified into a single real-time layer, so stock visibility stayed accurate regardless of where a customer shopped.
Key deliverables
AI gifting recommendation engine
Recommendation models matching occasion, budget, and recipient profile to curated gift sets - surfacing the right product at the right moment.
Occasion-based product curator
A curator that turns occasions - birthdays, anniversaries, festive gifting, and more - into the starting point of the shopping journey.
Unified inventory management layer
A single real-time inventory layer across online and offline (in-store) stock, so availability stayed accurate across every channel.
Gift-wrapping & personalised messaging
A gift-wrapping and personalised message module at checkout, built for the gifting use case the brand's buyers came for.
CRM lifecycle journeys
Post-purchase and repeat-gifting CRM journeys that keep customers engaged beyond a single occasion.
Store analytics dashboard
A store analytics dashboard giving merchandising and inventory teams visibility into demand and stock performance.
Tech stack
- Next.js
- Python (recommendation ML)
- Node.js
- PostgreSQL
- Unicommerce API
- Braze
- Razorpay
- AWS
Results & impact
29%Of D2C GMV from the gifting engine in 8 months
2.3×Higher AOV for gifting vs standard browsing
78% → 96%Cross-channel inventory accuracy
14% → 27%Online repeat purchase rate
By turning occasion and intent into the starting point of the shopping journey, not an afterthought, Baaz helped convert browsing into gifting at scale - while giving customers a storefront they could trust to reflect real stock.
Anonymised, representative engagement. Want results like these? Brief the Baaz squad or browse more case studies.