Turn ecommerce market signals into an evidence-backed research brief
Nolyn is an AI research workbench for ecommerce teams comparing products, customer feedback and social-commerce signals. Start with a focused question, gather supported Amazon, TikTok Shop or Shopee data, and turn the findings into a brief with assumptions and follow-up questions. A practical workflow is to compare market signals, inspect a sample of customer reviews for recurring complaints, then test the advertising economics. The free ROAS calculator (https://www.nolyn.ai/tools/roas-calculator) separates revenue efficiency from profit assumptions. Review analysis (https://www.nolyn.ai/tools/amazon-review-analysis) helps organize sampled feedback; a sample is not a census of all buyers. For a worked example, the TikTok Shop case study (https://www.nolyn.ai/case-studies/tiktok-shop-best-sellers) examines 450 listings across 16 US product types. Its cumulative units should not be read as monthly sales. Nolyn also supports scheduled follow-up research. It is a research assistant, not an inventory or advertising-account manager. Submitted by the Nolyn team.