Daymark Product & Data Team

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.

Find customers who only buy with a code, measure their true margin after the discount, and decide whether to serve, re-price, or starve the segment.

Find your revenue-concentration cutoff from a Shopify export, profile what your top customers share, then use that profile to acquire more like them.

Turn RFM tiers, discount-dependent buyers, and product affinity into Klaviyo segments. Five ready-to-copy recipes with the exact conditions to build.

Read your new vs returning revenue split by month, compare it to benchmarks by store age, and catch the failure modes at both extremes before they cost you.