Daymark Blog

What AI really does for a small D2C brand's analytics: plain-English querying, anomaly alerts, near-term forecasting, and a report you will read.

The exact spec for an auto-generated weekly store report: the 12 numbers, the comparisons, the alerts, and how to read the whole thing in 5 minutes.

Markup and margin measure the same profit but divide by different bases. Get both formulas, a two-way conversion table, and the pricing mistake to avoid.

A paste-ready library of 30 questions to ask your Shopify data, grouped by profit, ads, retention, inventory, and customers, each with why it matters.

Classify SKUs by revenue with ABC analysis so you stop managing every product equally. Worked 10-SKU example, class cutoffs, and a stocking policy per class.

Connect your live Shopify store to ChatGPT or Claude with MCP: the real setup, the prompts that work, and where CSV exports still beat a connector.

Dead stock costs more to hold than to discount. Flag non-movers with aging and sell-through, run the carrying-cost math, and clear them with a markdown ladder.

Most D2C cash is buried in the stockroom. Follow the metric chain from sell-through to reorder points to cash conversion, plus where AI forecasting helps.

Five customer segmentations that pay for D2C brands, built from store data not personas: RFM, discount sensitivity, new vs returning, affinity, channel.