ممارسة في الذكاء الاصطناعي الصناعي  ·  الخليج  ·  بالعربية والإنجليزية رد خلال يوم عمل واحد
Omnichannel service agent

A Gulf postal operator

Logistics / Postal Services · Gulf

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شكل هذه المشكلة

The answer exists and nobody can find it

المشكلة

Customers needed dependable support for shipments, deliveries, and logistics services across channels. Almost all of that demand is one question - where is my item - asked repeatedly by the same customer as the answer changes, and asked most often outside working hours. Volume therefore spikes exactly when staffing cannot, and a channel that cannot answer it pushes people into the queue for an update they could have had directly.

ما بنيناه

We delivered a grounded agent that joined service information with conversational guidance around tracking and the common delivery inquiries, across the supported channels.

ما تغيّر

المقياس قبل بعد
Tracking and delivery enquiries resolved without an agent لا قياس سابق 79%
Resolved contacts occurring outside working hours لا قياس سابق 46%
Average time to a shipment status answer 3.8 minutes 25 seconds

Tracking and delivery enquiries resolved without an agent

79%

79%

Tracking and delivery enquiries resolved without an agent

الحلقة هي كامل ذلك القياس. والقوس الرمادي هو الـ 21% المتبقية.

Resolved contacts occurring outside working hours

46%

46%

Resolved contacts occurring outside working hours

الحلقة هي كامل ذلك القياس. والقوس الرمادي هو الـ 54% المتبقية.

Average time to a shipment status answer

قبل 3.8 minutes بعد 25 seconds

الأرقام من سجلات التنفيذ الخاصة بالممارسة للمشروع المذكور، مقيسةً مقابل العملية التي سبقته.

ما توقّف عليه

Moving the high-frequency questions into a consistent conversational flow gave service teams a more structured set of exceptions to work, so human agents handled judgment, complexity, and recovery rather than repeating status. Relevant to any logistics operator whose contact volume is dominated by a single repeated question.

خط الخدمة
Service & Conversation AI

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