How Warren Lotas Cut Support Costs by 80% With Applied Labs

Warren Lotas built a cult streetwear label on limited drops, hand-drawn designs, and collaborations with icons like The Weeknd and Bad Bunny. As hype grew, so did customer expectations for premium service - but the boutique team couldn’t keep pace with round-the-clock inquiries.

Applied Labs introduced AI agents that feel as bespoke as the brand itself. Today, customers get instant answers with the same personality they expect from Warren Lotas, while the team focuses on strategic work.


Highlights

  • 80% support cost savings - reinvested into product and community.
  • 90% of inquiries resolved through AI - even during flash-sale surges.
  • Instant, 24/7 coverage - no more scrambling during midnight drops.

Customer Voice

“Sure, there are plenty of out-of-the-box solutions that can automate customer support. But Applied Labs is in another class. They worked with us to build a tailored support system that really understands our brand and customers.”

Kalin Stoyanchev, Co-Founder and COO at Warren Lotas


About Warren Lotas

Warren Lotas is a Los Angeles-based fashion house known for premium tees and hoodies inspired by street art, basketball, and motorcycle culture. The brand commands nearly 500K Instagram followers and partners with global entertainers and automotive icons.


Challenge

Explosive demand meant every restock triggered thousands of chats about shipping, sizing, and order changes. Each response required digging through multiple systems, stretching the lean team and threatening the personal touch the brand is known for. Kalin needed a way to:

  • Resolve inquiries quickly without sacrificing detail.
  • Personalize every reply using real purchase history.
  • Maintain brand tone while freeing the team for strategic work.

Solution

Applied Labs deployed AI agents that plug into Warren Lotas’ help center, knowledge bases, and commerce data.

  • Faster, more accurate responses: Agents combine real-time order info with tone-tested messaging, so even refund or sizing answers feel bespoke.
  • Personalized service at scale: Integrations surface loyalty context, letting agents reference past drops or shout out VIP status automatically.
  • Continuous optimization: The team A/B tests messaging, audits AI actions, and iterates with Applied Labs to keep the experience razor sharp.

Results

  • 80% support cost reduction thanks to automation coverage.
  • 90% of inquiries resolved autonomously, giving customers instant answers.
  • Always-on service that keeps drop-day excitement high and escalations low.

Looking Ahead

Warren Lotas is expanding AI agents from troubleshooting to personalized shopping. Upcoming workflows will recommend looks, streamline exchanges, and keep superfans delighted as the brand scales globally.


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