Tag Orders with the Weather Forecast

This step automatically activates whenever a customer completes their purchase in your store. MESA captures essential order details including the shipping address zip code, which becomes the key data point for retrieving weather forecasts. The trigger runs in real-time, so each new order immediately starts the weather tagging process without any delays or batch processing.

The weather service automatically looks up forecast information using the zip code from the customer's shipping address captured in Step 1. You'll need to configure the weather API connection with your service credentials, which typically includes an API key from providers like WeatherAPI or OpenWeatherMap. The step requests a 3-day forecast by default, giving you current conditions plus upcoming weather patterns. This weather data gets passed to the transformation step where it's converted into a tag format.

The transformation uses custom logic to process the 3-day forecast data retrieved in Step 2 and formats it into a concise tag. The mapping extracts minimum and maximum temperatures for each day, rounds them to whole numbers, and creates a structured tag like "D1:45-67 D2:48-70 D3:52-73" where each day shows the temperature range. This automated formatting means you get consistent, scannable weather information attached to every order. The transformed tag data flows directly to the final tagging step.

The step automatically adds the weather forecast tag created in Step 3 directly to the order record in Shopify. This means when you view any order, you'll see weather information for the customer's location right alongside other order details like shipping method and customer notes. The tagging happens immediately after the weather data is processed, so there's no delay between order placement and weather information availability. You can then use these tags for filtering orders, making shipping decisions, or understanding seasonal buying patterns.