Depict.ai

Depict.ai delivers AI-driven product recommendations for online retailers. Learn its features, pricing, use cases, and how it compares to other tools.

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Depict.ai is an AI-based personalization and product recommendation platform tailored for medium to large eCommerce retailers. Founded in Sweden and backed by Y Combinator, the company uses deep learning to deliver intelligent product recommendations that don’t require historical sales data.

Unlike legacy recommendation engines that rely heavily on manual tagging or large volumes of user behavior data, Depict.ai can start delivering accurate recommendations with minimal input. Its core value lies in delivering plug-and-play personalization that increases conversion rates, average order value, and customer satisfaction.

The platform is designed to integrate seamlessly with popular eCommerce platforms and is particularly well-suited for retailers with broad or frequently changing catalogs.


Features

Depict.ai provides a robust set of features that make it stand out among eCommerce recommendation engines:

  • AI-Generated Product Recommendations
    Automatically shows personalized product suggestions such as “Frequently Bought Together,” “Similar Products,” and “You May Also Like” without needing historical data.

  • Visual Understanding of Products
    The AI uses image recognition to understand the visual characteristics of products, enabling highly accurate recommendations based on design and style.

  • Plug-and-Play Integration
    Easy integration with Shopify, WooCommerce, and custom platforms. Minimal developer input required.

  • Catalog-Agnostic Functionality
    Depict works across different industries—from fashion and furniture to electronics—by adapting to various catalog structures and inventory styles.

  • Automatic A/B Testing
    Built-in testing framework allows merchants to compare recommendation setups and optimize results in real time.

  • Language-Agnostic Capabilities
    Works across languages and markets without additional configuration.

  • Performance Dashboard
    Merchants can track key metrics like click-through rate, conversion uplift, and revenue per user from the dashboard.

  • Merchandising Controls
    Ability to guide recommendations using business logic or campaign objectives (e.g., prioritize new arrivals or higher-margin items).


How It Works

Depict.ai simplifies the complex task of implementing AI recommendations for non-technical eCommerce teams. Here’s how the system generally works:

  1. Data Ingestion
    The system pulls product data directly from your store’s catalog or backend via API or plugin. This includes product titles, descriptions, tags, and images.

  2. AI Model Training
    Using deep learning models, the platform analyzes product features—especially visual data—to understand similarities and complementary items.

  3. Recommendation Deployment
    The AI starts generating recommendations in multiple locations across your site, such as the product detail page, cart page, and home page.

  4. Performance Optimization
    Through built-in A/B testing and analytics, Depict continuously refines its recommendations to optimize conversion and engagement.

  5. Business Rule Layer
    Merchants can optionally override or fine-tune AI recommendations based on seasonal campaigns, stock levels, or marketing goals.

Importantly, Depict.ai is effective even for new or low-traffic stores, as it does not rely on behavioral or transactional history.


Use Cases

Depict.ai is designed to serve a range of eCommerce personalization needs:

  • Fashion Retailers
    Suggest similar styles, complete-the-look bundles, or seasonal promotions based on user interaction and product visuals.

  • Home & Furniture Stores
    Recommend items based on color schemes, material finishes, or style categories like “Scandinavian” or “Minimalist.”

  • Electronics and Accessories
    Show compatible or commonly bundled products to increase average cart value.

  • Beauty and Wellness Brands
    Provide product recommendations based on skin type, product routine, or past purchases.

  • Cross-Selling and Upselling
    Increase revenue per session by offering related products that encourage add-ons or upgrades.


Pricing

Depict.ai follows a custom pricing model. Pricing is based on factors like:

  • Monthly site traffic

  • Number of SKUs or catalog size

  • Integration needs (e.g., Shopify vs. headless eCommerce)

  • Desired feature set (basic vs. full suite)

There is no free plan, and pricing is not listed on the public website. However, interested brands can request a free demo and consultation via the official Contact Page.

Typical clients are mid-size to large retailers seeking enterprise-grade personalization without having to build internal data science teams.


Strengths

  • Works out of the box with minimal data

  • Uses visual AI to generate accurate product recommendations

  • No need for customer purchase history to deliver results

  • Easy integration with multiple eCommerce platforms

  • Increases revenue through optimized upselling and cross-selling

  • Fast implementation time (claims under 1 week)


Drawbacks

  • No self-serve or entry-level pricing model

  • Designed primarily for established or scaling online retailers

  • Limited customization for very niche use cases without technical input

  • Advanced features may require developer support for full flexibility


Comparison with Other Tools

Depict.ai vs. Nosto
Nosto is a well-known personalization platform that offers broad functionality, including content personalization and behavioral targeting. Depict.ai focuses specifically on product recommendations and is easier to deploy without historical data.

Depict.ai vs. Clerk.io
Clerk.io also provides product search and recommendations. Depict.ai differentiates itself with its visual AI and deep-learning-driven approach to product similarity, which doesn’t depend on user behavior patterns.

Depict.ai vs. Rebuy (for Shopify)
Rebuy is a popular tool in the Shopify ecosystem, offering cart upsells and personalized bundles. Depict.ai provides a more advanced AI recommendation engine suitable for multi-brand or large catalog stores.


Customer Reviews and Testimonials

While Depict.ai does not list public testimonials on its home page, it is endorsed by multiple recognized brands in the Nordic region and across Europe. According to their website and interviews:

  • Clients have reported an increase of up to 15% in revenue per visitor after implementing Depict.ai

  • One furniture retailer saw a significant drop in bounce rates and better user engagement within the first month

  • Fashion brands appreciated the ease of integration and the minimal setup time required

Depict.ai has also received recognition from Y Combinator and has been featured in eCommerce innovation media for its approach to AI personalization.

For more social proof, you can find case studies and results by requesting a demo directly on https://www.depict.ai.


Conclusion

Depict.ai is a powerful and intelligent solution for eCommerce retailers looking to deliver Amazon-level product recommendations without building a complex backend. With its visual AI capabilities, ease of deployment, and proven revenue impact, it is a top-tier personalization engine for growing online stores.

Though it is best suited for mid-sized to enterprise retailers, Depict.ai stands out for its ability to operate without historical user data and provide immediate, personalized shopping experiences.

If you’re looking to boost conversions, average order value, and customer satisfaction through product personalization, Depict.ai is a platform worth exploring.

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