Hypotenuse AI: AI Agents for Ecommerce

AI agents that help you automate your ecommerce product content—from cleaning up your PIM and editing your images, to having product copy carefully crafted to your brand’s voice.
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Affidato da oltre 500.000 marchi ecommerce e marketer in tutto il mondo

Hypotenuse AI agents are like having 5 or even 10 additional teammates on your side, each handling a different part of your ecommerce product content process.

Each agent specializes in a specific task. One might be an expert in writing product descriptions, the other cleans up your data, while others take care of SEO, image editing or reviewing the content.

They work together to not just automate repetitive tasks but also support you in making complex decisions and acting on them. It’s like having a powerhouse team that helps you manage and optimize your product content, letting you focus on strategic growth.

AI Assistants
AI Agents
How they operate
You’ll tell them exactly what to do and how to do it; they will carry out the single task, nothing more.
You’ll set it up with high level goals, and let them know what you’d like to review. Then, it carries out those goals for you, deciding what tasks need to be performed, and running independently—only coming back to you for specific reviews.
What are they best for
Smaller, one-off ecommerce tasks like specific tweaks to images or generating quick copy using detailed prompts.
Automating large-scale processes like bulk content creation, SEO optimization or product data enrichment where multiple steps, dependencies and decision points are involved.
How they fit into workflows
Help with individual tasks within a single system, like a CMS or editing tool.
Integrate across multiple platforms to automate entire workflows end-to-end.
It’s akin to…
Having a part-time helper for quick tasks that don’t require autonomous decision-making.
Hiring a full-time manager with a team who works towards goals, makes smart decisions and drives results without much handholding.

Generates descriptions with precision

Instead of relying on prompts and pre-defined templates, the AI analyzes product features, brand guidelines, and keywords to craft tailored, optimized content.
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Automatically detects and fixes inconsistencies

You don’t have to point it out—our AI agent proactively identifies tone or style mismatches across product descriptions and rewrites them to align with your brand voice.
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Adapts content to products and audiences

Each product is treated uniquely, with descriptions tailored to its category and target audience, for example, ensuring it writes for kids’ toys differently than for high-tech gadgets.
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Applies contextual backgrounds

Instead of simply using preset filters or backgrounds, our AI agent analyzes the product features and style to generate the most suitable background.
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Refines image composition

The AI doesn’t just resize, crop, or reposition based on rigid rules—it considers how the product looks in the frame while making adjustments.
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Fills gaps and corrects wrong data

The AI detects missing and inaccurate product details, and fills or corrects them in by looking up reliable sources on the web, product data sheets, or images.
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Makes complex data manageable

No matter how messy or unstructured, the AI is able to process organize product data into manageable and structured attributes like size, weight, or material.
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Tags products accurately

The AI handles nuanced product attributes to tag items precisely, even when guidelines are incomplete. For instance, it distinguishes "formal shoes" from "business casual loafers" based on subtle differences in product descriptions or images.
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Adapts Optimization Strategies in Real-Time

The AI refines product descriptions and metadata dynamically as search algorithms evolve.
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Identifies Opportunities Proactively

It analyzes keyword trends and recommends updates to product content. If "water-resistant backpack" gains traction, the AI suggests incorporating this term into descriptions for relevant products to improve visibility.
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Domande frequenti

What do AI agents do?

AI agents perceive its environment, process information, make decisions and take actions to achieve specific goals with minimal human intervention. These agents use sensors or data inputs to gather information, analyze it using sophisticated algorithms, and determine the best course of action based on their objectives.

What are the types of agent in AI?

  • Simple Reflex Agents: React to specific inputs using predefined rules, such as automatically offering free shipping when a cart value exceeds a set threshold.
  • Model-Based Reflex Agents: Use internal models to adapt, like chatbots remembering past customer preferences to provide more relevant product recommendations.
  • Goal-Based Agents: Plan actions to achieve specific goals, such as optimizing a product catalog to maximize visibility on search engines.
  • Utility-Based Agents: Balance trade-offs to maximize outcomes, like dynamically adjusting pricing to maintain competitiveness while protecting margins.
  • Learning Agents: Improve over time, such as a product recommendation engine that learns from customer interactions to suggest better options.
  • Multi-Agent Systems: Collaborate to achieve goals, like coordinating inventory across warehouses to minimize delivery times and avoid stockouts.

Harness the power of Agentic AI in your ecommerce strategy.

Unisciti a oltre 500.000 marchi di ecommerce su Hypotenuse AI.
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