Indian manufacturer serving over 200 global fashion clients increased buyer uptake by ~20%

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Up to 50%
reduction in product development time
Up to 50%
increase in buyer style adoption rates
98.6%
faster print development time
Company Info
Company
Indian maunfacturer
Industry
Retail apparel and fashion
Company Size
51-200
headquarters
Noida, India
Why they chose Raspberry
To scale product output and automate manual design tasks.

Background

An India-based apparel manufacturer supporting 200+ global fashion brands, including Amazon, Target, Abercrombie & Fitch, and more, faced growing pressure to deliver high-volume product options with visual clarity and speed. But manual workflows for print development and sampling slowed momentum and hurt buyer conversion.

Our client saw the 3D rendering and was blown away by the fidelity and realism. They said, ‘We now understand exactly what the physical samples will look like.’ We have the best version of the non-physical product.”
[[- Chief Design Officer] cs-quote-desk]

The Challenge

1. Slow, manual print development

Creating new prints took days and limited responsiveness to buyer feedback.

2. High iteration volume for retail partners

Clients expected a wide range of options, requiring faster and more flexible workflows.

3. Demand for high-fidelity visuals

Buyers wanted realistic previews to make confident purchasing decisions, without waiting for physical samples.

The Raspberry Difference

With Raspberry AI, the team replaced slow, manual design tasks with automated tools like Prints & Patterns, Sketch-to-Render, and Lifestyle Photography. Designers now create and pitch styles with speed and clarity, driving stronger results with major accounts.

Designers now:

  • Build and customize prints in under an hour.
  • Deliver fully styled, photorealistic visuals without photoshoots.
  • Present concepts that buyers can approve faster and with more confidence.

The Results

  • Print development time reduced from 3 days to an hour.
  • Product development process sped up by up to 50%.
  • Buyer style adoption increased by ~50% across key accounts.

Raspberry helped the manufacturer scale product output and elevate visual quality, resulting in faster feedback loops, reduced sample dependence, and more buyer approvals.

TECH-TEXT

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[[- Mattia Giorgi, Head of AI & Innovation] cs-quote-desk]

“With our old processes, it was hard to show what we were doing. It was time-consuming, costly, and not everyone had the time or skill to adopt traditional tools effectively.”

[[- Mattia Giorgi, Head of AI & Innovation] cs-quote-desk]

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Trend alignment and campaign visuals often lagged due to delays in samples and photography, impacting e-commerce launches and increasing production costs.
cs-quote-desk
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See how Raspberry works

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