
Nipura Fashion partnered with Anphonic to drive higher revenue through AI-powered personalization, achieving a 13.43% increase in Average Order Value, influencing 9.03% of total orders, and generating 11.84% of revenue through personalized shopping journeys.

Nipura Fashion is a contemporary fashion brand focused on delivering stylish, accessible apparel through its ecommerce platform. The brand aims to simplify fashion discovery while increasing customer spend per session.
As Nipura Fashion scaled its online presence, the brand needed to increase average order value and maximize revenue per customer without relying heavily on discounts.
Fashion shoppers often browse multiple products but convert with only one item, limiting overall basket size.
The brand’s objectives were to:

Anphonic was implemented as a personalization layer across key touchpoints in the shopping journey.
By leveraging real-time shopper behavior and product affinity, the platform delivered contextual product recommendations that nudged customers toward higher-value purchases.
Dynamic Product Bundles
AI-powered bundles encouraged customers to shop coordinated looks instead of single items, significantly increasing basket value.
Smart Cart Upsells
Cart-level recommendations suggested complementary products based on items already in the basket, driving incremental revenue.
Personalized Product Discovery
Relevant product suggestions during browsing improved product exploration and guided users toward better purchase decisions.

Within a short optimization window, Nipura Fashion achieved:
Dynamic bundles and cart upsells together contributed the majority of revenue, highlighting the effectiveness of mid-to-bottom funnel personalization.
Anphonic enabled Nipura Fashion to move from single-product purchases to intent-driven, multi-product shopping experiences.
Instead of relying on discounts, the brand grew revenue by:
This resulted in higher basket sizes while maintaining a seamless and intuitive shopping journey.
With strong gains in AOV and revenue contribution, Nipura Fashion is well-positioned to expand personalization into:
1. Did Nipura Fashion rely on discounts for growth?
No. Growth was driven through personalization, bundling, and upsell strategies.
2. Which feature contributed the most revenue?
Dynamic Product Bundles were the largest contributor, followed closely by Cart Upsells.
3. Did personalization disrupt the user experience?
No. It enhanced the journey by making recommendations more relevant and timely.
4. Can this strategy work for other fashion brands?
Yes. Personalized bundling and upselling are highly effective in fashion ecommerce.
5. How quickly were results visible?
Results were observed within weeks of implementation.
Over 10,000 Shopify brands use Rebuy to create personalized shopping experiences that reduce costs, save time, and drive sales