Stop losing money on top SKUs — automated SKU profitability insights

Many online merchants—especially SMB and midmarket sellers—systematically lose money on their top SKUs because gross revenue masks acquisition costs, returns, marketplace fees, and promotional mechanics. The pain is concentrated where a small set of SKUs drives disproportionate ad spend and revenue, but attribution and reconciliation across channels remain manual or inconsistent. You could build an automated SKU-level profitability platform that ingests orders, ad spend, returns, fees, and promotion data across marketplaces, allocates acquisition and fulfillment costs to units, and surfaces real-time alerts and prioritized remediation actions. Targeting SMBs and midmarket merchants at a $2,000 ACV implies a TAM of roughly $12.0B (6,000,000 merchants x $2,000), and the market scores (92/100) and revenue potential (88/100) indicate a strong commercial opportunity. The timing is right: ad spend per SKU is rising, omnichannel selling increases reconciliation complexity, and surging returns and promotions make gross revenue an increasingly unreliable proxy for profit. To stand out in a medium-competition field you must deliver turnkey integrations (Shopify, Amazon, Walmart, Google/Meta ads), transparent cost-allocation models, and actionable, explainable alerts that non-finance teams can act on—this plays to strengths in clear ROI messaging and a focused SMB go-to-market. Honest challenges include fragmented data and attribution limits, integration costs, and the need to change pricing and procurement behaviors; expect 6–12 months of development to build robust connectors and a pilot cohort to validate unit-economics uplift before scaling.