How can I track the performance of my fashion products?

When your AI agent is trained on your fashion catalog (descriptions, stock levels, sizing guides), every interaction becomes a data point. The agent answers questions about availability, materials, and fit, and each conversation is logged. This gives you a direct line to what shoppers care about without surveys or guesswork.

• Train your agent on product pages, lookbooks, and inventory lists via the knowledge base.
• Custom Actions can trigger records in your sales tracking tool when a shopper asks for a restock or requests a discount.
• Monitor which products and variants trigger the most conversations directly inside Chatref’s conversation inbox.

Chatref’s Insights feature processes your chat history and highlights emerging patterns. It auto-tags questions by product type, issue (e.g., “sizing confusion” or “return policy”), and sentiment, then sends you a digest email with the latest findings. This makes product analytics continuous and hands-off.

• See which fashion items are generating the most presale questions in any week.
• Identify when a specific design or size is driving a spike in support inquiries, often a leading indicator of a returns or quality issue.
• Compare post-launch chatter across collections to decide what to reorder or discontinue.

Custom Actions let Chatref talk to your existing sales and analytics tools. Set up an action that checks order status from your ecommerce platform or that pushes a conversion event to your analytics whenever the agent completes a recommendation. You get a full picture of sales tracking data without toggling between dashboards.

• Integrate with Shopify or your store’s API to pull live inventory numbers into the widget.
• Record a “purchase intent” event in your product analytics tool when the agent successfully recommends a matching item.
• Surface revenue impact: tag agent-assisted conversions and later match them to sales data for a direct ROAS view.

What are the best ways to track fashion product performance?

The most effective approach combines real-time customer signal with your sales data. Train an AI agent on your catalog so you can capture which items draw the most questions and concerns. Use Chatref Insights to auto-tag conversations and receive daily digests showing trending products, frequent complaints, and emerging purchase intent signals. Finally, connect your store via Custom Actions so you can marry chat-driven feedback with actual conversion and return data.

How can I analyze my sales data for fashion items?

Start by linking Chatref’s Custom Actions to your ecommerce platform. That lets you pull order status, inventory levels, and conversion events right into the chat. Meanwhile, Insights aggregates the qualitative side: which products people ask about before buying, and which generate after-purchase issues. Overlaying those two sources gives you a full view of what drives sales and where friction hits.

What metrics should I monitor for my fashion store?

Focus on metrics that blend commerce and customer voice: top-asked-about products (by volume of conversations), conversion rate from product inquiries to purchases (via Custom Actions events), return-driver tags (e.g., “too small” clustered by SKU), and time-to-resolution for size/availability questions. These fashion store metrics give you an early warning system and a guide for merchandising decisions.