Intelligent auto-assignment
Automatically route every incoming conversation to the best available agent based on skills, workload, and availability — no manual triage needed.
Chat Routing

Automatically route every incoming conversation to the best available agent based on skills, workload, and availability — no manual triage needed.
Create routing rules based on agent skills, language, department, visitor source, keyword triggers, or any custom criteria your business needs.
Handle growing chat volumes with overflow handling, department routing, and time-based rules that keep service levels consistent around the clock.
ROUTING
Distribute conversations evenly across available agents to balance workload fairly and prevent burnout.
Match customers to agents with the specific product knowledge or language skills needed to resolve their issue.
Set fallback rules so conversations are never left unattended when your primary agents are busy or offline.
EFFICIENCY
An incoming conversation is matched automatically to an agent with the right product knowledge, so the customer reaches someone who can help on the first try.
Use case · Support teams
RULES
Separate incoming chats by department — sales, support, billing — so every team handles their own queue.
Configure different routing logic for business hours and after hours to keep service levels consistent around the clock.
Identify VIP customers and route them to senior agents or dedicated queues for premium service.
FLEXIBILITY
A support manager sets up separate routing rules for sales and billing inquiries, so each team only sees conversations relevant to its queue.
Use case · Multi-department teams
SCALE
Automatically distribute conversations based on each agent's current workload and capacity to prevent bottlenecks during peak hours.
Route visitors to agents in the same region or timezone for faster, more relevant support and language matching.
Automatically escalate conversations that approach SLA thresholds to available agents or supervisors to maintain service commitments.
SCALABILITY
As a growing support team adds agents, load balancing and SLA-based escalation keep every queue evenly distributed without manual reconfiguration.
Use case · Scaling support teams
Real-time messaging
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