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Privacy-first inventory analytics that runs 100% in your browser. Calculate Safety Stock, Reorder Points, stockout risk and ABC classes across multi-SKU datasets in seconds — no uploads, no account, no spreadsheets.
I'm Ashraf, a Senior Supply Chain & BI Analyst. Over the years, I’ve helped companies across Europe and the Middle East get their inventory datasets under control.
I kept seeing the same two major pain points:
Excel Overload: Teams spend hours maintaining fragile spreadsheet models for Safety Stock and Reorder Points. One broken formula and no one trusts the output.
Cloud Privacy Risks: Most analytics platforms require uploading complete SKU sales histories to third-party servers—which is an immediate red flag for enterprise privacy and security teams.
So I built StockLogic: an enterprise-grade inventory analytics suite that runs 100% locally in your browser.
Zero server uploads, zero accounts to create, and zero data leaving your machine. Simply drop in your CSV (or pick one of our industry sample datasets) to instantly calculate:
Safety Stock & Reorder Points (ROP)
Stockout Risk Indicators
ABC Inventory Classifications
Every math methodology card is fully transparent so you can audit the logic yourself.
It's built for planners, BI analysts, and e-commerce operators who need fast, reliable answers without sacrificing data privacy.
I’d love your feedback today:
What specific KPI or view would make this an essential part of your weekly workflow?
Did the visual CSV mapper handle your custom dataset columns smoothly?
Any missing features or confusing UI elements? Please be completely candid!
I’ll be here all day taking notes and answering questions. Thanks for checking out StockLogic! 🙏
No comment highlights available yet. Please check back later!
About StockLogic on Product Hunt
“Instant In-Browser Supply Chain Analytics”
StockLogic was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #226 on the daily leaderboard. Privacy-first inventory analytics that runs 100% in your browser. Calculate Safety Stock, Reorder Points, stockout risk and ABC classes across multi-SKU datasets in seconds — no uploads, no account, no spreadsheets.
StockLogic was featured in Productivity (665.6k followers), Analytics (174.5k followers) and Privacy (11.5k followers) on Product Hunt. Together, these topics include over 209.3k products, making this a competitive space to launch in.
Who hunted StockLogic?
StockLogic was hunted by Stock Logic. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Stock Logic
Hi Product Hunt 👋
I'm Ashraf, a Senior Supply Chain & BI Analyst. Over the years, I’ve helped companies across Europe and the Middle East get their inventory datasets under control.
I kept seeing the same two major pain points:
Excel Overload: Teams spend hours maintaining fragile spreadsheet models for Safety Stock and Reorder Points. One broken formula and no one trusts the output.
Cloud Privacy Risks: Most analytics platforms require uploading complete SKU sales histories to third-party servers—which is an immediate red flag for enterprise privacy and security teams.
So I built StockLogic: an enterprise-grade inventory analytics suite that runs 100% locally in your browser.
Zero server uploads, zero accounts to create, and zero data leaving your machine. Simply drop in your CSV (or pick one of our industry sample datasets) to instantly calculate:
Safety Stock & Reorder Points (ROP)
Stockout Risk Indicators
ABC Inventory Classifications
Every math methodology card is fully transparent so you can audit the logic yourself.
It's built for planners, BI analysts, and e-commerce operators who need fast, reliable answers without sacrificing data privacy.
I’d love your feedback today:
What specific KPI or view would make this an essential part of your weekly workflow?
Did the visual CSV mapper handle your custom dataset columns smoothly?
Any missing features or confusing UI elements? Please be completely candid!
I’ll be here all day taking notes and answering questions. Thanks for checking out StockLogic! 🙏
— Ashraf