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How eSprzedawca AI boosts sales and supports the shopping experience in a streetwear store

TrafficWatchdog team

05.02.2026

source: own elaboration

About the Client – Patshop.pl

Patshop.pl is an online streetwear clothing and accessories store offering a wide selection of:

  • fashionable apparel for women and men (tops, hoodies, trousers, jackets)
  • streetwear footwear (sneakers, slides, etc.)
  • accessories and add-ons (backpacks, bags, belts, neck gaiters, etc.)
  • gadgets and gift cards that promote the brand’s style

The store targets fans of street culture, hip-hop, and skateboarding who are looking for original, fashionable products aligned with current streetwear trends.

The Challenge

Patshop.pl operates in a highly competitive online fashion market. Customers browse multiple offers quickly and expect: • fast help with choosing a style or size • instant answers to product-related questions • 24/7 support • higher conversion at key purchasing moments

The store needed a solution that would: ✔ streamline customer communication, ✔ reduce the workload of the customer support team, ✔ increase sales without significant human resources.

The Solution – eSprzedawca AI

An intelligent sales chatbot, eSprzedawca AI, was implemented with the following responsibilities:

  • assisting customers in product selection

  • answering questions about availability, sizes, and style

  • recommending products based on user preferences

  • shortening the purchase path and reducing cart abandonment

Thanks to integration with Google Merchant Center (GMC), the chatbot has full access to the product catalog — including names, images, descriptions, prices, and availability.

Implementation Stages and Collaboration

  1. Test launch – January 2025 In January 2025, Patshop.pl began a two-week test period of eSprzedawca AI. The goal was to evaluate how the chatbot performs in a real streetwear e-commerce environment.

  2. Live optimization During the test, ongoing improvements were made based on client feedback: ✔ adjustment of communication tone ✔ development of sales conversation scenarios ✔ improved product recommendations

  3. Decision to fully deploy After the test period, the client was satisfied with the results, and the chatbot was launched in production on the store’s website.

  4. Ongoing cooperation and development From that point on: ✔ the client reports all feedback and development needs ✔ our team implements changes immediately ✔ we maintain constant communication and continuous system optimization

This cooperation model allows the AI to genuinely grow alongside the store.

Key Results After Implementation

Approx. 250 customer inquiries per month handled by eSprzedawca AI ➡️ effective customer support without involving store employees

Approx. 60 additional sales per month generated with the help of eSprzedawca AI ➡️ a real impact on conversion growth and revenue

Continuous 24/7 customer support — fast and accurate answers regarding style, sizing, and product fit ➡️ improved shopping experience (UX)

The AI supports customers, among others, in: ✔ choosing the right size and style ✔ matching accessories to an outfit ✔ recommending alternatives when a product is unavailable

Why Does It Work?

Fashion is contextual — customers need inspiration Streetwear shoppers often compare styles, cuts, and brands. The chatbot quickly suggests complete outfits and relevant products, shortening the decision-making process and increasing the likelihood of purchase.

Personalized AI communication eSprzedawca AI dynamically tailors recommendations to the customer’s style — e.g. “If you like oversize hoodies, you might also like…” — which increases cart value and customer satisfaction.

Summary – Value for Patshop.pl

✔ Sales support without hiring additional staff ✔ Increased revenue thanks to AI-generated recommendations ✔ Improved customer shopping experience ✔ Constant access to the full product catalog through GMC integration

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