Order-support and refund tickets run through the Service CRM desk with SLA tiers, escalation and a QuipAI rail that drafts the reply and deflects the routine "where is my order" questions before they need an agent at all.
Order, return and refund questions handled with SLA tiers and AI drafts.
Delivery-window spikes absorbed by the chatbot before they hit the queue.
Size, exchange and return-policy questions answered from your own policies.
Order issues plus installation and warranty requests in one desk.
Order-support volume spikes around delivery windows with no SLA discipline to keep up
The website chatbot and WhatsApp bot answer delay, refund-status and policy questions from your knowledge base, with a hand-over below your threshold.
The same handful of questions (delay, wrong item, refund status) repeat endlessly across agents
Order issues arrive as categorised tickets with priority tiers, business-hours clocks and escalation that acts before a customer has to.
Refunds and credits are tracked inconsistently across tickets
For what reaches the desk, the agent assistant has already read the order and the policy and drafted the reply — the agent reviews and sends.
Order-support and refund tickets run through the Service CRM desk with SLA tiers, escalation and a QuipAI rail that drafts the reply and deflects the routine "where is my order" questions before they need an agent at all.
Illustrative QuipAI screen — Deflection funnel and CSAT for AI versus human
For d2c, grocery & quick-commerce support: Order-support ticket desk, SLA tiers, refunds, categories tuned to order operations
Explore Service CRMA customer asks about an order on chat, WhatsApp or email; routine questions are answered with a citation.
Anything else becomes a ticket — category, priority, intent and summary assigned on arrival.
The agent sends the drafted reply; deflection, CSAT for AI versus human and SLA compliance show what to widen next.
The demonstrable desk runs on a sandbox order-management dataset; production activation connects it to your own order and refund systems.
That connection is scoped at onboarding — today the deflection layer answers from your published knowledge base and policies.
Bring one real route, queue or enquiry list — we configure it live in 45 minutes and you keep what we build.