The user receives a plain-English report on their store's mobile performance, identifying slow apps and comparing them to competitors, alongside a calculation of how much manual busywork costs and whether automation is financially viable.
The agent uses the test_store_speed tool to analyze a provided URL's mobile performance, identifying specific apps causing slowdowns and comparing the site to up to two competitors. It then uses estimate_automation_roi to calculate the time and dollar cost of repetitive tasks based on user-provided volume and duration, determining the break-even point for automation. The agent presents these findings as actionable insights for performance optimization and operational efficiency.
- Category: Data and analysis
- Effect: Read-only
- MCP servers: 7IT Solutions MCP (https://koskamo.com/explore/7it-solutions-mcp)
- Source: 7IT Tools for ChatGPT, Claude and Cursor (MCP) | 7IT (https://7it.co.il/ai/)
- Source quote: "test_store_speed Store speed on a phone Google’s phone test in plain English, the apps slowing the page by name, and up to two competitors side by side."
- Playbook page: https://koskamo.com/explore/use-cases/analyze-store-speed-and-automation-roi
Prompt: Analyze the mobile speed of mystore.com and compare it to rival.com. Also, calculate the cost of our current manual process: we send 40 invoices a month, each taking 6 minutes. Is automating this worth it?