How to Connect FlowHunt Chatbots to Real-Time Stock and Delivery APIs

Introduction – Why Do E-Commerce Chatbots Need Real-Time API Access?

In modern e-commerce, customers expect instant answers to practical questions, such as whether a specific product is in stock or when their order will arrive. Chatbots are increasingly used to automate these interactions, enhancing the customer experience by providing around-the-clock support. However, to deliver accurate, up-to-the-minute information, chatbots must connect to live data sources—most commonly, via Application Programming Interfaces (APIs) provided by your inventory and order management systems.

Without real-time API access, chatbots are limited to static data or delayed updates, which can lead to customer frustration if, for example, a product shown as available is actually out of stock or if delivery timelines are unclear. Enabling FlowHunt chatbots with API connectivity ensures that customers always receive trustworthy, current information. This is particularly important for businesses like okfish.sk, where product availability (such as “rods under 100 EUR”) and timely order tracking are central to customer satisfaction and operational efficiency.

By integrating your e-commerce backend with FlowHunt via APIs, you empower your chatbot to handle complex queries, reduce the burden on human support agents, and build trust with users. This article explains the concepts, integration methods, and best practices for enabling real-time stock and delivery status information in your FlowHunt chatbot.

What Types of Information Should Be Accessible via API Integration?

To unlock the full potential of a chatbot in e-commerce, certain data sources must be accessible in real time. The most common and valuable API integrations include:

• Product Stock and Availability: The chatbot queries your warehouse or inventory system to determine which products are in stock, their quantities, and attributes such as price, size, or color. For example, answering “What rods under 100 EUR are available?” requires filtering the product catalog based on price and stock status.
• Order Status and Delivery Tracking: Customers often ask, “Where is my package?” or “When will my order arrive?” The chatbot connects to your order management or logistics provider’s API to retrieve the latest status, tracking link, and estimated delivery date for a given order or tracking number.
• Product Details and Specifications: In some cases, the chatbot may need to fetch detailed product information, such as descriptions, features, or compatibility, based on a product ID or search term.
• Customer Account Information (Optional): For personalized service, APIs can expose order history or saved preferences, allowing the chatbot to tailor responses or suggest relevant products.

When designing your API endpoints, focus on exposing the data that customers most frequently request via chat. This ensures your chatbot delivers actionable, accurate answers without human intervention.

Example API Request and Response Formats

While the specific structure of your API will depend on your e-commerce platform or backend, the following generic examples illustrate how a FlowHunt chatbot might interact with stock and order tracking endpoints.

1. Product Stock Availability API

Request Example: GET /api/products?category=rods&max_price=100&in_stock=true Authorization: Bearer YOUR_API_KEY Response Example: { “products”: [ { “id”: “rod-123”, “name”: “Pro Angler Rod 2000”, “price”: 89.99, “in_stock”: true, “stock_quantity”: 14 }, { “id”: “rod-456”, “name”: “Budget Fishing Rod”, “price”: 59.99, “in_stock”: true, “stock_quantity”: 27 } ], “total”: 2 } In this example, the chatbot can present a filtered list of rods under 100 EUR that are currently available in the warehouse, along with quantities and prices.

2. Order Status and Delivery Tracking API

Request Example: GET /api/orders/status?order_id=OKFISH987654 Authorization: Bearer YOUR_API_KEY Response Example: { “order_id”: “OKFISH987654”, “status”: “Shipped”, “tracking_number”: “TRACK123456”, “carrier”: “DHL”, “estimated_delivery”: “2024-06-14”, “tracking_url”: “https://dhl.com/track/TRACK123456" } The chatbot can use this data to answer: “Your order has been shipped via DHL. It is expected to arrive on June 14. You can track it here: [tracking link].”

3. Error Handling Example

If a product or order is not found, your API should return a clear error message: { “error”: “Order not found”, “code”: 404 } The chatbot can then inform the customer appropriately, such as “Sorry, we couldn’t find an order with that ID. Please check your order number and try again.”

Recommendations and Next Steps for Clients Integrating Chatbots with APIs

To successfully connect your FlowHunt chatbot to your inventory and delivery systems, follow these steps:

1. Identify the Required Data: List the product, stock, order, and delivery details your customers most often request. This will inform which API endpoints need to be exposed.
2. Consult with Your Developer or IT Team: Work with technical experts to either leverage your existing APIs or develop new endpoints that provide real-time access to the required data. Ensure these APIs are secure, documented, and scalable.
3. Coordinate with FlowHunt: Contact the FlowHunt support or onboarding team to discuss integration options. FlowHunt developers can assist in connecting your API endpoints to the chatbot and mapping user queries to the correct API calls.
4. Test End-to-End: Before going live, thoroughly test common customer scenarios (e.g., product search, order status lookup) to validate that the chatbot retrieves and presents real-time data accurately.
5. Maintain API Reliability: Monitor API performance and availability, as chatbot answers depend on up-to-date, responsive data sources. Plan for error handling and fallback messages if the API is temporarily unavailable.
6. Iterate and Expand: As new customer needs emerge, consider extending your API capabilities (for example, to support advanced filtering, returns, or personalized recommendations).

How to Get API Documentation or Integration Support for FlowHunt

If you are ready to integrate your FlowHunt chatbot with your e-commerce APIs, or if you need technical assistance, reach out to FlowHunt support or your assigned account manager. Provide details about your current backend systems and describe the customer scenarios you want to automate. The FlowHunt team can supply documentation, best practices, and integration services tailored to your business.

For additional guidance, FlowHunt may also offer sample code, API schemas, or references to trusted development partners who can help you accelerate your chatbot project. Don’t hesitate to ask for a technical review before rolling out new features to ensure seamless and secure operation.

By enabling API-driven real-time data access, your FlowHunt chatbot becomes a powerful extension of your e-commerce platform, delighting customers with instant, accurate answers and reducing the workload for your support team.