Topic covered
CUSTOMER STORIES
How Zari Jaipur Drove 10% Higher Order Value Through Intelligent Personalization
Zari Jaipur used Anphonic’s AI-powered personalization to increase AOV without discounts. By improving product discovery and recommendations, the brand drove a 9.79% uplift in AOV and encouraged higher-value purchases, proving that better product guidance leads to premium, sustainable growth.
Results
+9.79% increase in Average Order Value
8.93% revenue driven through Anphonic Journeys
11.77% orders influenced by rebuy experiences
Use Cases
Personalized Product Discovery helped customers explore relevant products and complementary items during browsing, encouraging higher-value purchases.
Smart cart suggestions surfaced relevant add-ons at checkout, nudging customers toward completing their look without adding friction.
Personalised recommendations enabled Zari Jaipur to increase order value organically, without relying on promotions or discounting.
Industry
Fashion and apparel
Zari Jaipur is a modern Indian fashion brand rooted in traditional craftsmanship. Known for its curated ethnic wear and timeless designs, the brand blends heritage with contemporary styling for today’s consumer.
With a strong and growing ecommerce presence, Zari Jaipur caters to customers seeking occasionwear and everyday luxury.
Challenge: Increasing Basket Size Without Discounting
As Zari Jaipur scaled online, a key challenge emerged:
Customers were often purchasing single items, despite the brand offering highly complementary products (sets, dupattas, accessories).
The brand wanted to:
- Increase Average Order Value without relying on discounts
- Improve product discovery across collections
- Encourage multi-item purchases
- Create a more guided, intuitive shopping experience
The goal was clear: grow revenue organically, without disrupting the premium brand experience.
Strategy: Personalization Across the Shopping Journey
Zari Jaipur implemented Anphonic to introduce AI-led personalization across key touchpoints.
Using real-time behavioral signals and product affinity data, the platform guided users toward more relevant and higher-value purchases.
Key Approaches
1. Personalized Product Discovery
Shoppers were shown relevant styles and complementary pieces while browsing collections.
2. Smart Recommendations
Dynamic recommendations suggested outfits, pairings, and similar products based on user behavior.
3. Cart Upsells
At checkout, customers were nudged toward add-ons (like dupattas or accessories) that completed their look.
4. Rebuy Journeys
Returning customers were encouraged to repurchase or explore similar styles aligned with past purchases.
Results: Strong Uplift in AOV and Order Influence
Within a short optimization window, Zari Jaipur saw a clear and measurable uplift in performance across key metrics. The brand achieved a 9.79% increase in Average Order Value, reflecting a shift in customer behavior toward higher-value purchases. Overall Anphonic accounted for 8.92% of total sales.
In terms of order volume 11.77% orders were influenced by Anphonic experiences, highlighting the growing impact of personalized repeat purchase journeys.
Revenue Attribution Insights
A deeper look at revenue attribution reveals that the majority of value was driven by discovery-led experiences. Product Discovery accounted for 70.27% of revenue, making it the most significant contributor. Smart Cart interactions, while smaller in share, still contributed 2.92%, reinforcing the importance of subtle nudges at the final stage of purchase.
When broken down by widget performance, AI Recommendations emerged as the primary driver, contributing 49.55% of revenue.
These results highlight a clear pattern: the majority of revenue was driven by discovery and recommendation layers, proving that customers don’t necessarily need discounts, they need direction. By surfacing the right products at the right time, Zari Jaipur was able to naturally guide shoppers toward more considered and higher-value purchases.
This approach led to a noticeable increase in basket size, improved visibility across the product catalog, and a more intuitive, intent-driven shopping journey that aligned closely with customer preferences.
Impact: Premium Growth Without Compromise
Anphonic enabled Zari Jaipur to scale its ecommerce revenue while maintaining its premium brand positioning. Instead of relying on discounts or aggressive promotions, the brand focused on encouraging thoughtful product pairing and building stronger purchase intent through personalization.
The result was a seamless and elevated shopping experience that felt curated rather than pushed. The integration with Shopify was smooth and required minimal operational effort, while also providing clear visibility into how each personalization touchpoint contributed to overall performance.
Looking Ahead
With strong gains in both AOV and order influence, Zari Jaipur is well-positioned to expand its personalization strategy even further. The next phase of growth will focus on extending these learnings into post-purchase recommendations, occasion-based styling journeys, and loyalty-driven repeat purchase flows, unlocking more opportunities for sustained, long-term revenue growth.
FAQs
1. Did Zari Jaipur’s growth rely on discounts?
No. Growth was driven through intelligent recommendations and product pairing.
2. What drove the most revenue?
AI-powered recommendations and product discovery contributed the majority.
3. Did personalization disrupt the user experience?
No. All touchpoints were designed to remain seamless and non-intrusive.
4. Is this model effective for fashion brands?
Yes. Especially for brands with complementary products and styling potential.
5. How quickly were the results visible?
Performance improvements were observed within weeks of implementation.
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