Respond.io’s AI Agents can connect to inventory systems through APIs to retrieve current stock information and automatically answer shoppers asking whether specific items are still available. This helps online retailers manage frequent stock inquiries across WhatsApp, Instagram and other messaging channels during busy sales without manually checking every item.
Respond.io AI Agents can check current product availability through a connected inventory system and reply using the information returned, instead of relying on potentially outdated product catalogues.
For example, during a sale, a shopper messages an online store on WhatsApp asking whether a particular pair of shoes is still available in size 38. A configured AI Agent can:
This is enabled by respond.io's Make HTTP requests skill, which allows AI Agents to request real-time information from external systems during conversations.
Unlike a chatbot that only uses uploaded product information or predefined answers, this setup can check the inventory source when the shopper asks. That distinction matters during sales, when products may sell out while customers are still deciding whether to buy.
Yes. Respond.io brings conversations from WhatsApp, Instagram, Facebook Messenger and other supported messaging channels into a shared inbox, where AI Agents can answer shoppers using data retrieved from connected inventory systems.
Retailers can configure their AI Agents to check stock availability across these channels without requiring employees to monitor and answer questions separately on each app.
If a shopper needs further assistance or the stock information cannot be verified, the AI Agent can assign the conversation to a human agent or team. Employees can then handle exceptions, answer more complex purchase questions or help the shopper complete an order.
Yes, respond.io’s AI Agents can handle repetitive stock inquiries, reducing the need for employees to check and confirm each item's availability manually. During promotions, shoppers may ask about different sizes, colours and product variations while stock levels keep changing. When connected to a reliable inventory system, AI Agents retrieve current inventory information from compatible external systems, answer availability questions and pass conversations that require human assistance to employees.
Respond.io also supports retailers that need to connect customer conversations with their existing business systems, whether they use respond.io's native AI Agents or their own AI solutions.
For example, Diskat, an e-commerce retailer in Guatemala, uses respond.io's native AI Agents to handle 90% of sales conversations. It also integrates respond.io with its ERP through APIs and webhooks, allowing orders captured through chat to be reflected in its inventory and accounting systems. Diskat maintains an 81.4% conversion rate.
Meanwhile, Petloy, a pet supplies retailer, uses respond.io to connect its custom AI Agent with WhatsApp and Odoo, retrieve current product prices and order history, process orders and hand complex inquiries to human agents. After connecting customer conversations with its custom AI and order system on respond.io, Petloy increased sales by 55%.
An online store needs an inventory system with a compatible API that can return current product availability. Respond.io's AI Agents can then be configured to request this information when shoppers ask whether an item is in stock.
The inventory system must identify the relevant product and variation, such as its SKU, size or colour. If the shopper has not provided enough information, the AI Agent can ask for the missing details before checking availability. Publishing an AI Agent with this skill to check integrated systems requires an Advanced or Enterprise plan.
There are also important limitations to consider:
These safeguards are particularly important during sales, when the same item may be requested by multiple shoppers within a short period.
Respond.io is best suited for mid-market B2C retailers managing 500+ customer conversations monthly across messaging channels, especially when shoppers need accurate product information before purchasing.
It is a strong fit for stores that receive frequent enquiries across various channels during promotions, sell products with multiple variations or need AI Agents to check inventory while employees focus on conversations requiring more assistance.
It may be less suitable for stores receiving under 500 conversations per month or businesses whose customers primarily purchase through website checkout without messaging first. For these businesses, an existing e-commerce tool or simpler chatbot may meet their needs at a lower cost.