E-Commerce SaaS Platform
Explore Project
Streaming, analytics infra
Core Capacities
Data pipeline
Project Focus
Real-time, AI-ready
Scale of Impact
2025
Year
Overview
1
While the potential was clear, the path forward wasn’t. The company needed to identify which AI use cases would generate real business impact without slowing down existing operations or overwhelming product teams. Key questions included how to integrate large language models into workflows, how to structure data pipelines for reliability, and how to balance innovation with scale.
2
Sierra partnered with the company through an embedded engineering model, working side-by-side with internal teams to scope and validate AI opportunities. The focus was on retrieval-augmented generation (RAG), advanced prompting strategies, and custom data workflows, all tailored to the unique dynamics of a marketplace where brands depend on accuracy, trust, and speed.
3
• Conducted discovery sessions with product and engineering leaders to align AI exploration with near-term business goals. • Designed and tested multiple RAG and prompting frameworks to improve merchant recommendations and marketplace insights. • Built flexible data pipelines that supported rapid experimentation while preserving reliability and security. • Established a clear framework for evaluating AI integrations, ensuring the company could prioritize high-value initiatives.
4
Through this collaboration, the platform gained a clear roadmap for AI adoption and the technical foundations to move quickly. By combining subject matter expertise with forward-deployed engineering, Sierra enabled the company to prototype and validate real solutions rather than just concepts. The result was a marketplace positioned to stay ahead of competitors, with smarter cross-store connections, stronger merchant experiences, and a path to sustained differentiation powered by AI.
