Bypassing contact forms by connecting inventory APIs to automated conversations
Stop losing sales to contact form delays. Connect your inventory APIs directly to automated customer conversations for live stock and pricing data.
A buyer looking for a specific industrial pump at 9 PM will not wait until 9 AM the next day for a sales representative to check stock levels. If the website says to call for availability, that buyer often moves to a different vendor. The delay between an initial inquiry and a confirmation of stock is the primary point where high value transactions fail. This friction is a common symptom of the phone line bottleneck where manual processes sabotage lead conversion.
Most automated systems fail because they rely on static data. They can answer a question about a return policy but cannot tell a customer if there are four units of a specific SKU left in a local warehouse. Duvi addresses this by connecting AI agents directly to a business's internal HTTP APIs or Salesforce. This allows the agent to pull live data from an ERP or inventory management system during a conversation.
When a customer reaches out to ask for a specific contract price, a delay of twenty minutes can result in a lost sale. Many businesses hide this data behind a login or a contact form because the logic for calculating pricing is too complex for a static site. The buyer sends an email or leaves a voicemail. By the time a staff member checks the records and replies, the buyer has already found a competitor who could confirm the details immediately.
Grounding an agent in documentation is the first step toward resolution. Duvi crawls the company website and parses uploaded documents to understand the product catalog. This enables the system to handle technical hardware compatibility checks without internal engineering involvement. When a customer asks a technical question on WhatsApp or over the phone, the agent uses this documentation to provide an answer. If the customer then asks for the price or current availability, the agent executes an API call to retrieve that specific information. This happens within the same interaction. There is no need for the customer to be put on hold or wait for an email follow up.
Duvi allows agents to execute HTTP API calls during a live phone call or a WhatsApp thread. If a customer asks about stock for a specific part, the agent triggers a request to the business inventory system. It receives a JSON response and translates it into natural language for the customer. This prevents the churn that occurs when a customer journey breaks between the browser and a messaging application. The agent explains compatibility based on a technical file upload and confirms inventory in the same flow.
Consistency across communication channels is a frequent friction point. A customer might start an inquiry on a web chat and later follow up via a phone call. Duvi uses the same knowledge base and API integrations for every surface. Because the business connects its own phone numbers and WhatsApp accounts through providers like Twilio or Meta, the customer experience remains uniform. The agent recognizes the context of the query whether it is handled through async messaging or a live voice call.
Managing complex workflows like checkout or lead qualification requires more than just sharing information. These agents can act. By connecting to Salesforce or a custom checkout API, agents can modify backend records or initiate a transaction after confirming stock. If a conversation becomes too complex for the AI to handle, it can hand the session over to a human operator. Every interaction is recorded and analyzed. This provides the business with insights into common customer pain points and product gaps without requiring manual log reviews.
Deploying these agents does not require engineering resources. The system runs on a credit basis and uses the business's existing material to build its knowledge. A single script tag enables the web agent: the same logic applies to phone and WhatsApp channels. This allows a company to move from a reactive support model to one where customers receive immediate, data driven answers at any time of day.