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    Scalor
    CONVINCE US →
    area 06/10Support and after-sales

    Everything that happens after the sale. Done right.

    Tickets, chatbots, voicebots, churn, NPS, SLAs. Eight workflows where we transform overwhelmed support into a machine that resolves 70-90% of cases on its own.

    8
    cases
    documented

    Each with diagnosis, new step-by-step flow, and before/after metrics.

    10
    areas
    { }
    90s
    per case
    87
    in total
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    The Situation

    Support team answers the same 20 questions 80% of the time. Overwhelmed during peak hours. Customers are left unanswered during off-peak hours (night, weekends). SLAs fail. Complaints escalate due to silence, not the problem itself.

    Before Scalor

    They hire more people (expensive, and there are limits) or implement dumb chatbots that frustrate customers even more.

    With Scalor
    1. 1.Audit of past tickets: identification of the 20 reasons causing 80% of the volume.
    2. 2.Structuring or creation of a knowledge base.
    3. 3.Configuration or optimization of help desk (Intercom, Zendesk, Freshdesk).
    4. 4.AI agent trained on your data that responds with your brand's tone.
    5. 5.Intelligent triage: urgency, department, problem type.
    6. 6.Seamless escalation to a human when the agent can't resolve the issue.
    What Changes

    70-90% of tickets resolved without human intervention. Average first response time under 1 minute. 24/7 support without proportional costs. Human team focuses on complex cases.

    What's Introduced
    Customer SupportAI AgentsChatbotsDocumentation ---
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