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Valrhona Accelerates Order Processing with Esker, Improving International Customer Service Performance

Valrhona deployed Esker's document automation and order processing platform to streamline international order handling, reducing manual processing cycles and accelerating time-to-resolution for customer inquiries across multiple markets. The implementation addressed a critical friction point in their B2B operations: order processing had become a bottleneck that directly degraded customer experience for international clients, creating delays that compounded across regional teams. By automating document capture, validation, and routing workflows, Valrhona compressed processing timelines and improved visibility into order status—enabling support teams to provide faster, more accurate responses to customer queries without expanding headcount.

The strategic implication here cuts to a broader tension in CX operations: automation investments that target backend processes often deliver outsized customer-facing benefits, yet many teams remain fixated on front-channel AI and chatbot deployments. Valrhona's approach inverts this priority—by removing the operational drag that forces support agents into reactive firefighting mode, they've created capacity for higher-touch, consultative service. This matters particularly for B2B and international operations where order complexity and regulatory variation demand human judgment; automation handles the repetitive document processing, freeing agents to focus on exception handling and relationship building. The question for support leaders is whether your current automation roadmap addresses the backend bottlenecks that actually constrain agent productivity, or whether you're chasing front-channel automation that merely masks underlying process inefficiency.

For teams managing distributed support operations across regions, Valrhona's implementation signals that document workflow automation deserves parity with conversational AI in investment discussions. International customer service performance hinges on consistent, rapid order visibility—something no chatbot can deliver if the underlying order data remains trapped in manual processing queues. The efficiency gains here aren't marginal; they're structural, reshaping what your support teams can realistically deliver without process redesign.