Identify customer purchase intent using AI

Below is a free classifier to identify customer purchase intent. Just input your text, and our AI will predict what product category a customer is likely to buy - in just seconds.

customer purchase intent identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("customer-purchase-intent", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/customer-purchase-intent/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_text_here"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                

    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_text_here"}' \
        https://www.nyckel.com/v1/functions/customer-purchase-intent/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict what product category a customer is likely to buy.

This pretrained text model uses a Nyckel-created dataset and has 5 labels, including Definitely, Definitely Not, Likely, Uncertain and Unlikely.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what product category a customer is likely to buy).

Whether you're just curious or building customer purchase intent detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify customer purchase intent at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Targeted Marketing Campaigns: Businesses can leverage the 'customer purchase intent' identifier to segment their audience based on potential buying behavior. By identifying consumers who are more likely to make a purchase, companies can create personalized marketing messages and offers, thereby increasing engagement and conversion rates.

  • Inventory Management: Retailers can use the purchase intent data to optimize their inventory levels. By predicting which products customers are likely to buy, businesses can ensure they stock sufficient quantities, reduce overstock, and minimize out-of-stock situations, enhancing customer satisfaction.

  • Sales Forecasting: Organizations can integrate the purchase intent identifier into their sales forecasting models. By analyzing customer behavior patterns, businesses can make more accurate predictions about future sales trends, allowing for more effective budgeting and resource allocation.

  • Customer Relationship Management (CRM) Enhancements: The purchase intent identifier can enhance CRM systems by prioritizing leads based on their likelihood to convert. This allows sales teams to focus their efforts on high-potential prospects, improving overall sales efficiency and performance.

  • Dynamic Pricing Strategies: E-commerce businesses can utilize the purchase intent data to implement dynamic pricing strategies. By understanding when customers are most likely to buy, they can adjust prices in real-time, offering discounts or promotions to incentivize purchases.

  • Personalized Recommendations: By incorporating the purchase intent identifier into recommendation engines, businesses can provide customers with tailored product suggestions. This enhances the shopping experience and drives higher average order values through cross-selling and upselling techniques.

  • Customer Retention Initiatives: Companies can use the purchase intent data to identify at-risk customers who may be considering abandoning their carts or reducing their engagement. By proactively reaching out with incentives or reminders, businesses can retain customers and foster brand loyalty.

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