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2023 ISG Case Study Research: Food Ordering Platform Transforms Backend Process with AI-led Automation

Read | May 27, 2024

AUTHOR(s)

A WNS Perspective

Key Points

  • A leading food ordering and grocery delivery platform sought to streamline the grocery ordering process, reducing manual effort.
  • Recognized as a Standout Case Study by ISG, this narrative showcases how the company transformed its operating model, harnessing Artificial Intelligence (AI) and automation extensively while limiting manual intervention to exceptional cases.
  • In spotlighting the significant enhancements in process efficiency and the substantial reduction of human error, ISG highlights the pivotal role of AI and automation as foundational elements of a modern operating model.
Uber_ISG_Standout_Case_Study

FAQs

1. How did AI-led automation improve backend operations for the food ordering platform?

AI-led automation helped the platform digitize and orchestrate backend grocery ordering workflows end to end. By using AI for decision-making and automation for execution, the company significantly reduced manual touchpoints, accelerated order processing, and improved overall operational efficiency.

2. What types of backend processes were automated in this ISG case study?

The automation focused on high-volume grocery ordering activities such as order validation, data handling, exception identification, and workflow routing. Routine tasks were fully automated, while human intervention was limited to complex or exceptional scenarios.

3. Why did ISG recognize this transformation as a standout case study?

ISG recognized this initiative because the platform successfully embedded AI and automation as core elements of its operating model. The transformation delivered measurable efficiency gains, reduced human error, and demonstrated how AI-led automation can scale reliably in fast-paced, consumer-facing environments.

4. What can other digital platforms learn from this AI-led automation case study?

This case study shows that combining AI with automation enables organizations to move beyond incremental improvements. Digital platforms can achieve scalable growth, higher accuracy, and faster turnaround times by redesigning processes around AI-first, exception-driven operating models.

5. How can WNS help organizations implement AI-led automation like in this ISG case study?

WNS combines deep industry expertise with AI and automation technologies to help organizations redesign their operations. From assessing processes to implementing intelligent automation and exception handling, WNS ensures seamless adoption, measurable efficiency gains, and reduced human error.

6. Why choose WNS for transforming backend processes with AI and automation?

WNS brings a unique blend of consulting insight and technology delivery experience. By leveraging AI, intelligent automation platforms, and process expertise, WNS helps companies scale operations, optimize workflows, and achieve sustainable operational excellence—just like the transformation highlighted in this ISG case study.