Applied AI
Peapod
AI-assisted grocery merchandising — Generative AI workflows for a large US online grocery retailer — automating merchandising and advertiser operations so teams move from manual coordination to faster, data-driven decisions.
- Customer
- Large US online grocery retailer
- Focus
- Generative AI · workflows
- Domain
- Merchandising · ads ops
Customer
Large US Online Grocery Retailer
Challenge
Merchandising and advertiser operations teams relied on manual workflows to coordinate vendor campaigns, approvals, and reporting—an effort-intensive process that made timely, revenue-maximizing insights difficult to generate. The customer wanted to use Generative AI to automate repetitive workflows, improve team collaboration, and enable faster, data-driven decisions.
Our Approach
We partnered with the product owner and business stakeholders to understand existing workflows before identifying where AI could deliver meaningful value—rather than adding AI for its own sake.
We designed AI-assisted workflows that automated repetitive tasks, generated contextual insights, and streamlined cross-team collaboration, backed by intuitive interfaces with workflow visibility, audit capabilities, and an AI-powered assistant to explain recommendations and impact. The platform was built to handle large, multi-dimensional datasets while scaling with future requirements.
Business Outcome
- Reduced manual effort across merchandising and advertiser operations
- Accelerated access to actionable business insights
- Improved collaboration through AI-assisted workflow automation
- Enabled faster, data-driven decisions to maximize vendor revenue
- Built a scalable platform for future AI-powered automation
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