E-Commerce & Retail
Input: Where is my order? Stuck 4 days and I want compensation.
Output: Check order status, initiate human-approved refund ticket, and draft quick WhatsApp response.
Omnichannel Customer Support Simulator for Saudi Enterprises
Experience an omnichannel simulator that combines WhatsApp, Webchat, Email, and Instagram into one central inbox. It classifies intent, analyzes customer sentiments, retrieves knowledge articles, chooses tools, and writes human-reviewable drafts in under 3.4 seconds.
Explore three interactive panels: Inbound Channel Simulator, Agent Mind Process, and Final Customer View.
Select a scenario or run the agent to view semantic analysis.
Frustration, satisfaction, or mixed language will be mapped here.
Used knowledge base articles will appear here.
Simulated API calls and tools will execute here.
Analyze visual reports, view clean JSON responses, inspect granular audit logs, or simulate agent workflows.
{}This public sharing link contains scenario configurations but excludes private customer data. Do not share sensitive PII.
Executive insights will populate once the agent is activated.
Simulate a mock customer sending 8 messages across 4 channels. The agent compiles the touchpoints, detects friction, and suggests operational fixes.
curl -X POST https://brightai.site/api/demo/gemini/stream \
-H "Content-Type: application/json" \
-d '{"demoType":"customer-service-automation","input":{"scenarioId":"angry-whatsapp-delay","locale":"en","message":"I need to know where my order is, no one replied since yesterday."}}'
{
"event": "ticket.escalated",
"channel": "whatsapp",
"priority": "high",
"team": "Customer Support Supervisor"
}
Input: Where is my order? Stuck 4 days and I want compensation.
Output: Check order status, initiate human-approved refund ticket, and draft quick WhatsApp response.
Input: I need to reschedule the technician visit to Thursday.
Output: Initiate draft appointment, update customer records, and draft confirmation window SMS.
Input: Transaction is stuck and no official feedback received.
Output: Compliance escalation, redact sensitive billing info, and draft high-priority formal email.
Every response is modeled in a predictable structured schema containing intents, confidence intervals, dialect scores, retrieved references, simulated tool executions, suggested quick replies, and predicted satisfaction indices.
{
"intent": "classified_intent",
"intent_confidence": 0.92,
"sentiment": { "polarity": -0.62, "emotion": "frustrated" },
"language": "Mixed Arabic and English",
"dialect": "saudi",
"retrieved_kb_articles": [],
"tools_called": [],
"response_text": "Agent reply draft text",
"suggested_quick_replies": [],
"escalation": { "required": true, "reason": "delay", "priority": "high", "suggested_team": "Support Team" },
"csat_prediction": 3.7,
"handling_time_estimate_seconds": 54
}
Yes. The agent is strictly instruction-aligned to map slang, determine underlying intent, and maintain a highly professional tone without dry responses.
Escalation is triggered by high user frustration, refunds requiring human validation, VIP account priorities, or when low classification confidence indicates boundary ambiguity.
Yes. Custom enterprise versions support transcribing voice notes securely, applying the same PII filter mechanisms prior to semantic mapping.
Absolutely. Production integrations connect Salla or Zid webhooks, updating shipping logs, product catalogs, and ticket priorities automatically.
Integrate our secure customer support systems into your workflows. We can launch custom configurations tailored to your datasets within a few days.