What challenges did DHL face before AI implementation?

Growing customer expectations for seamless, personalized, 24/7 cross-channel support. Fragmented customer journey across chat, voice, and email. Escalating operational costs associated with scaling multi-channel support. Difficulties in unifying reporting and analytics across communication channels.

What was the impact of the AI solution?

Automated 27% of EU rail industry customer support inquiries. Automated 22% of Swiss healthcare industry support queries. Enabled significant cost and time savings for DHL and other clients. Provided unified reporting and improved customer satisfaction.

Rank#2,070of 3,107

Source

MicrosoftExpanded

DHL Automates Omnichannel Customer Support Using AI Suite

Use case typeCustomer support automationUpdated Jun 13, 2026

DHL and other major enterprises have improved their customer support delivery using the Omnichannel CX Support Suite from Enterprise Bot GmbH, powered by Microsoft Azure OpenAI (including ChatGPT GPT-4, GPT-3). The solution incorporates chatbot, voicebot, and emailbot capabilities that seamlessly integrate with popular platforms such as Genesys, Salesforce, Freshdesk, and Zendesk. By centralizing communications through a unified AI-powered layer, DHL has achieved higher customer personalization, streamlined operations, and cost efficiencies. The integration leverages deep learning and NLP for real-time interactions, significantly enhancing the customer journey across digital and voice channels. The Enterprise Bot suite drives automation of customer support processes for diverse sectors including logistics (DHL), finance, and healthcare. Clients report substantial automation, handling up to 27% of the EU rail industry’s support needs and 22% of Switzerland’s healthcare support. The solution supports large-scale, cross-channel customer engagement, offering organizations like DHL a tangible competitive edge in service delivery.

Organization: DHL
Industry: Logistics
Location: Germany
Published: June 2024

Reported outcomes

27%

quantified impactAutomation & deflection

22%quantified impact

Strategic outcomes

Customer experience & trustImproved customer satisfaction through unified supportCost efficiencyStreamlined operations and reduced support costsNew product / capabilityDeployed omnichannel AI support capabilitiesCompetitive differentiationGained a tangible service delivery edge

Catalog median for automation & deflection deployments: +68% across 125 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1Omnichannel Customer Support Automation
2AI Chatbots and Voicebots for Logistics
3Unified Customer Journey Analytics

Growing customer expectations for seamless, personalized, 24/7 cross-channel support.
Fragmented customer journey across chat, voice, and email.
Escalating operational costs associated with scaling multi-channel support.
Difficulties in unifying reporting and analytics across communication channels.

Deployed Enterprise Bot CX suite powered by Microsoft Azure OpenAI (GPT-4, GPT-3).
Implemented AI-driven chatbots, voicebots, and emailbots for omnichannel support.
Integrated with major CRM and contact center systems including Genesys, Salesforce, Zendesk.
Utilized real-time NLP and Meta-Learning for personalization and unified journey management.

Technologies

Azure OpenAI ChatGPT Voicebot Chatbot