Privacy, marketplaces, data handling, install, refunds — answered.
No. SLM is a verdict engine, not a reimbursement-claim filing service. Refund Genie, GETIDA, Refunds Manager, Seller Investigators and Seller Locker file FBA claims for a commission. SLM is different: it runs 50+ rules across all loss patterns and emits one verdict per SKU - KEEP, KILL, SCALE, WATCH or DORMANT - with rupee impact. The FBA 60-day claim deadline is one of 50+ rules, not the whole product. SLM surfaces the claim opportunity and the deadline; the seller files the claim themselves through Seller Central, no commission.
No. Nova Analytics, SellerLegend, Amazon Profit Analytics India and eightx are P&L dashboards - they surface metrics and rank SKUs but leave the decision to the seller. SLM is an action engine: it emits an explicit verdict per SKU with rupee impact and a concrete next action (discount %, restock qty, pause ad, file FBA claim, kill SKU). SLM also covers Indian non-Amazon costs (Flipkart, Meesho, Shiprocket RTO, GST, Razorpay) that Amazon-only dashboards miss.
SLM runs locally on your machine. Your CSVs, SKU data, and P&L numbers never leave your computer. There is no cloud upload unless you explicitly export.
Amazon (full coverage), Flipkart (orders + returns), Meesho (orders). More platforms behind a feature flag.
No. Drop the raw export from Seller Central. SLM detects the report by its header signature and maps columns automatically.
If you can download a CSV from Amazon, you can use SLM. There is one button: "Upload". Everything else is one screen.
Yes — email [email protected] and we'll send you the macOS .dmg. The Mac build is unsigned for now (Apple Developer certification in progress), so first launch needs a one-time right-click → Open. Takes 10 seconds. Everything else is identical to the Windows build.
7-day no-questions refund. If SLM doesn't surface at least one bleeding SKU in your first scan, email us all your reports & we refund.
No. SLM is operational — it tells you what to do this week. Your accountant handles compliance. They live happily side by side.
Yes. The full methodology — dead stock detection, return-loss attribution, BE-ACOS, contribution margin, EMA velocity — is published as a preprint on Zenodo under CC-BY-4.0. Read or cite it: Quantifying Seller-Side Revenue Leakage on Indian E-Commerce Marketplaces (DOI 10.5281/zenodo.20315548).