Resources / Case Studies

Expanding AI Workflows for Retail with Predictable AI Usage and Costs

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This electronics retail company wanted to build more advanced AI workflows while gaining greater control over usage costs. Its existing automation pricing model charged for each workflow step, making costs difficult to predict as usage scaled. Building on its established relationship with Expedient through the AI CTRL Platform and colocation services, the company successfully tested AI-powered workflows and applications using Retool to connect data, apply AI, and share results. Following the evaluation, the company moved to a paid agreement with greater cost visibility and a clear path to expanding its AI capabilities.

Challenges

AI usage outgrew the original pricing model

Per-execution automation costs became difficult to scale

Unfamiliar credit-based pricing complicated budget planning

Needed to validate usage estimates through a trial first

Outcomes

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Built a foundation for scaling AI

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Gained greater visibility into AI costs

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Enabled predictable, cost-effective AI expansion

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