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How Artilk Transformed Sales with AI

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In today’s competitive e-commerce landscape, personalization is key—especially in the art industry, where customer preferences are highly subjective. ...learn more

Project status: Published/In Market

Virtual Reality, Artificial Intelligence

Intel Technologies
Other

Overview / Usage

In today’s competitive e-commerce landscape, personalization is key—especially in the art industry, where customer preferences are highly subjective. Artilk.com, an online art marketplace, faced a challenge: how to provide tailored recommendations without overwhelming their small sales team. Their solution? An AI-powered sales assistant built on Chitchatbot.ai’s no-code bot platform, which improved customer engagement by 27% by analyzing both text and image inputs.

The Challenge: Scaling Personalized Art Recommendations

Artilk’s team struggled to keep up with customer inquiries. "We had a high volume of requests like ‘I need art that matches my blue sofa’ or ‘Show me abstract pieces similar to this photo,’" explained Mark R., Artilk’s Sales Director. "Our human team was fantastic, but manually matching preferences wasn’t scalable."

They needed an AI assistant that could:

  1. Understand text-based queries (e.g., "minimalist landscapes under $500").

  2. Analyze uploaded images to suggest visually similar artwork.

  3. Learn from interactions to refine recommendations over time.

Building the AI Assistant—Without Code

Using Chitchatbot.ai, Artilk’s team created a bot in under two weeks—no developers required. The platform’s drag-and-drop interface allowed them to:

  • Integrate a hybrid AI model combining NLP (for text) and computer vision (for images).

  • Train the bot on their art catalog by linking product data (style, color, price) to conversational triggers.

  • Set up image recognition so users could upload room photos, and the bot would extract dominant colors/styles to suggest matching art.

"The no-code bot building platform_ setup was a game-changer,"_ said Lisa T., Artilk’s Marketing Lead. "We could tweak the bot’s responses in real time—like adjusting how aggressively it upsold or how ‘artsy’ its language was."

How the AI Improved Conversations

The bot’s ability to handle multimodal inputs (text + images) was critical. For example:

  • A user uploading a photo of a bohemian-style living room would receive recommendations for vibrant, textured paintings.

  • A query like "dark moody portraits" triggered filters in Artilk’s database, showcasing relevant pieces.

Results after 3 months:

  • 27% increase in conversation duration, as users engaged longer with personalized suggestions.

  • 15% higher conversion rate for users who interacted with the bot vs. those who didn’t.

  • Reduced 40% of repetitive queries for the human team, freeing them for complex sales.

Behind the Scenes: The Technical Edge

Chitchatbot.ai’s platform leveraged:

  1. Pre-trained NLP models (like GPT-3.5) for understanding intent.

  2. Custom vision APIs to analyze image attributes (color palette, composition).

  3. Seamless Shopify integration, pulling real-time inventory data.

"The bot doesn’t just recommend—it learns," noted Mark. "If users frequently reject ‘watercolor’ suggestions but accept ‘oil paintings,’ it adapts. That’s the power of no-code AI."

The Future: AI as a Sales Collaborator

Artilk plans to expand the bot’s role, testing voice inputs and AR previews (letting users "place" art in their space via chatbot). "For small teams, AI isn’t about replacing humans," Lisa added. "It’s about giving them superpowers."

By leveraging Chitchatbot.ai’s no-code platform, Artilk turned a cost center (manual sales support) into a growth engine—proving that smart automation can make art sales feel deeply human.

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