I decided to treat financial data more like a ledger.
Here is the approach:
- Fetch Shopify data and store raw records separately
- Use an aggregation layer to calculate metrics
- Handle refunds and adjustments as separate events
- Maintain a daily summary table for scale
What happens when a merchant edits a past order?
While building a #Shopify P&L dashboard, I realized history isnโt fixed.
Refunds, partial refunds, COGS changes, shipping edits all can change old numbers.
I've been experimenting a new feature in my custom analytics app.
Stock Performance Analyzer๐
It helps merchants see:
- Revenue stuck in dead stock
- % of products unsold in selected period
- Avg days between sales per variant
- Filters for inventory velocity
The slowest part while building Shopify apps is rarely writing code. It is working with data that actually behaves like a real store.
Manually creating is also time-consuming and unrealistic. A better approach is to simulate store activity through the Shopify Admin GraphQL API.
Example use case:
On a product page, show only recommendations with the tag "new-arrivals" or "discount-sale".
- Use the Recommendation Ajax API to fetch related products dynamically.
- Add a tag-based filter to the response to show only the most relevant results.
Product recommendations in #shopify has limited controls, thereโs no way to manage them dynamically?
Most stores just show default or manually curated products. With a small tweak, you can filter recommendations conditionally, by product tag or collection type.
An easy way to build a customer loyalty program for @Shopify stores. Shopify provides everything we need with the @GraphQL API and webhook integration.
Order Paid โ Trigger with Customer Details โ Update Customer Metafield
@ShopifyDevs@ShopifyEng#ShopifyCoding
๐ AI Content Writer: A Multi-Agent RAG Experiment
โจ This experimental prototype automates content creation using LangChain and Open source AI models, helping users generate high-quality contents, critiques, and even images!
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