dressipi Overview

Dressipi addresses the challenge of enhancing conversion rates and reducing returns for apparel retailers through advanced personalization. By leveraging fashion-specific AI, Dressipi tailors product recommendations to individual shoppers, showcasing items they are more likely to purchase and retain. This approach not only improves customer satisfaction but also optimizes inventory management for retailers. The platform ensures a seamless customer experience by providing accurate product data and relevant recommendations at scale, which is crucial in the competitive fashion industry. Dressipi's solution empowers retailers to create personalized shopping experiences that align with consumer preferences, ultimately driving sales and loyalty.

Use Cases

Customers recommend Engagement Management, Lifetime Value Management, Onboarding, as the business use cases that they have been most satisfied with while using dressipi.

Other use cases:

  • Merchandising
  • Forecasting
  • Revenue Cycle Management
  • Advertisement
  • Customise Loyalty Program
See all use cases See less use cases

Business Priorities

Increase Sales & Revenue and Improve ROI are the most popular business priorities that customers and associates have achieved using dressipi.

Other priorities:

  • Increase Customer Life Time Value
  • Enhance Customer Relationships
  • Establish Thought Leadership
  • Scale Best Practices
See all business priorities See less business priorities

dressipi Use-Cases and Business Priorities: Customer Satisfaction Data

dressipi works with different mediums / channels such as E-Mail.

dressipi's features include Personalization, and Recording. and dressipi support capabilities include AI Powered, 24/7 Support, Email Support, etc. also dressipi analytics capabilities include Analytics, and Custom Reports.

Dressipi provides personalized ecommerce solutions for apparel retailers, enhancing product recommendations. Visitors are shown items they’re most likely to purchase and retain.

Comprehensive Insights on dressipi Use Cases

How can dressipi optimize your Engagement Management Workflow?

How does dressipi facilitate Lifetime Value Management?

What makes dressipi ideal for Merchandising?

5+ more Business Use Cases

11 buyers and buying teams have used Cuspera to assess how well dressipi solved their business needs. Cuspera uses 141 insights from these buyers along with peer reviews, customer case studies, testimonials, expert blogs and vendor provided installation data to help you assess the fit for your specific business needs.

Case Studies

Apparel & Fashion

CASE STUDY Belstaff

Belstaff wanted to grow ecommerce sales and improve customer experience. They used Dressipi to add personalized product and outfit recommendations to their emails. Dressipi worked with Belstaff to ma...ke sure the recommendations matched the brand's style. Belstaff tested the new emails for four weeks. The emails with Dressipi recommendations had a 14% higher click-to-open rate, 69% more revenue, 32% higher conversion, and 63% more total orders than non-personalized emails.

Read more →
Apparel & Fashion

CASE STUDY Seasalt Cornwall

Seasalt Cornwall is a UK womenswear retailer. They wanted to give their online customers the same personal experience as in their stores. Generic personalization did not work well for them. They used... Dressipi's software to show personalized outfits and styling ideas to each website visitor. This led to a 1.5% increase in revenue per visitor. The company found this technology helped their profits and digital growth.

Read more →
Apparel & Fashion

CASE STUDY River Island

River Island is a large UK fashion retailer. They tried two generic personalization providers but saw no real revenue change. They switched to Dressipi’s apparel-specific personalization and saw a 3%... increase in revenue per visitor. After expanding Dressipi’s solution across more categories, revenue increased by 6% in 12 months. Average order value went up by 5% and conversion by 3%. Dressipi’s email integration also boosted revenue per email by 99% and conversion by 45%.

Read more →
Retail

CASE STUDY A luxury retailer

A luxury retailer wanted to give each customer a better shopping experience. They needed to make recommendations for different types of shoppers in the UAE and Europe. Dressipi helped them set up per...sonalized product and outfit recommendations. The retailer saw a 12% increase in revenue per visitor. They also had a 2% increase in average order value, an 11% increase in conversion, and a 25% reduction in returns.

Read more →
Retail

CASE STUDY John Lewis & Partners

John Lewis & Partners wanted to make online shopping easier for their customers. They needed a way to give each shopper personalized outfit ideas. Dressipi helped them by creating up to 100 million p...ersonalized outfits every night. The solution worked for womenswear, menswear, and kidswear. John Lewis saw a big increase in revenue from using these outfit recommendations.

Read more →
Apparel & Fashion

CASE STUDY LK Bennett

LK Bennett is a British affordable luxury brand. They spent too much time and money on their old merchandising tool. They wanted to show customers the best products at the right time. They used Graph...eneAI by Dressipi for product and outfit recommendations. This new tool helped them increase revenue by 20%. It also made the team’s work easier and reduced avoidable returns.

Read more →
lightning

Peers used dressipi for engagement management and lifetime value management

dressipi Features

  • Low
  • Medium
  • High
FEATURE RATINGS AND REVIEWS
AI Powered

3.26/5 ★

Read Reviews (2)
Analytics

4.06/5 ★

Read Reviews (14)
Custom Reports

3.46/5 ★

Read Reviews (4)
CAPABILITIES RATINGS AND REVIEWS
AI Powered

3.26/5 ★

Read Reviews (2)
Analytics

4.06/5 ★

Read Reviews (14)
Custom Reports

3.46/5 ★

Read Reviews (4)

Software Failure Risk Guidance

?

for dressipi

Top Failure Risks for dressipi

Stylemania Profile

Company Name

Stylemania

Company Website

https://dressipi.com/

HQ Location

20 Eastbourne Terrace,London, London W2 6LG, GB

Employees

11-50

Social

Linkedin Twitter

Financials

PRIVATE