AI-Powered Customer Service for Global E‑Commerce & Logistics

UniUni, a global e‑commerce and logistics company, adopted AI‑powered text bots, intelligent call routing, and a centralized hub to slash labor costs and boost response efficiency

!

Pain Points

  • High labor costs – More than 30 full‑time customer service seats were expensive to maintain.
  • Fragmented data from multi‑channel inquiries – Different channels created siloed information, making management difficult.
  • Slow response for complex issues – Response times exceeded SLA benchmark by 15%.

Powered by Instadesk

  • AI text bots + intelligent inbound call routing – Instadesk Chatbot and Voicebot handle high‑volume routine inquiries automatically.
  • Centralized service platform – Instadesk Omnichannel Platform + Smart Ticket/Email unify data and workflow management across all channels.

Efficiency Gains by Product

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AI Chatbot

Handles >85% of routine inquiries, 87% intent recognition rate

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Voicebot (Intelligent Routing)

Reduces complex issue response time from 8 min to 2 min

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Omnichannel Platform + Smart Ticket

Unifies fragmented data, centralizes workflow

Business Results

>85%
Routine inquiry auto‑handling
87%
Intent recognition
‑75%
Complex issue response
50+
Concurrent bots
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Before vs. After

Metric
Labor cost
Response time (complex issues)
Routine inquiry handling
Intent recognition
Concurrent bot capacity
After Instadesk
  • Significantly reduced
  • 2 min (75% faster)
  • Bot handles >85%
  • 87% AI accuracy
  • 50+ bots (no queuing)
Before
30+ full‑time seats
8 min (15% over SLA)
100% manual
N/A (manual)
None
case-dot

Instadesk helped us cut labor costs, unify our chaotic multi‑channel data, and slash complex issue response time from 8 minutes to just 2. With 50+ AI bots running concurrently, we never worry about peak hour congestion anymore.

— Head of Customer Operations

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Disclaimer: Case studies, performance metrics, and ROI figures (such as 250% ROI or 80% automation rates) represent historical results achieved by specific clients. Individual results may vary depending on business size, integration complexity, and operational parameters.

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