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Inventory review from stock and sales — a self-initiated Rivetfern demonstration with synthetic data.
This Python tool combines on-hand stock, allocations and a 30-day fulfilled-sales export. It excludes cancelled and old orders, skips exact duplicates, quarantines conflicting IDs and reports unknown SKUs.
Outputs include available units, average daily sales, lead-time demand, days of cover, pack-rounded replenishment suggestions, exceptions and file hashes. Lead times and pack sizes come from the inputs. Suggestions stay review-only: no orders are placed and no suppliers are contacted. This is a transparent arithmetic sample, not a demand forecast or client result.
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The client's inventory wasn't organized. Products weren't consistently recorded, there was no SKU structure, and the system's stock figures didn't match what was physically on the shelves. That made it hard to know what they really had, what it was worth, and what their cost of sales should be.
What I did
Chose the right tool. I recommended QuickBooks Plus, which handles inventory tracking properly, rather than patching up spreadsheets.
Built the product list. I added every product to the system and allocated a clear SKU to each one.
Sorted the inventory. I organized the stock records so each item could be identified and tracked.
Reconciled to a physical count. I compared the system quantities with the actual stock on hand and resolved the differences.
Pharmacy Operations System: an automation-focused prototype for managing inventory, sales, purchases, and pharmacy operations. Built with a web dashboard connected to Google Sheets and n8n workflows to automate data updates and operational processes.
I'd keep sales, purchases, and manual stock corrections as separate events in the dashboard. If today's balance is disputed, can a user trace it back to a specific change rather than only seeing the latest value in Sheets?
🚨 CODES, SHADERS & SPOOKY UI: WHY BUILDERS CAN’T MATCH HAND-CODED PRECISION
Most creators blend static assets in Figma or Canva. As a Full-Stack Engineer, I treat code itself as an art form.
For the Rive Halloween Challenge, I brought together raw code, terminal-driven workflows, and GPU shaders into one ultimate dev collage:
• Rive CLI & RML: Writing responsive interactive scenes directly inside VS Code—zero bloat.
• GPU Canvas (WGSL Shaders): Custom fog, flickering lights, and real-time spooky effects powered directly by the GPU.
• Cybersecurity & Clean Architecture: High-performance, pixel-perfect web apps built to convert in 0.05 seconds.
Forget laggy plugins and heavy template builders. True digital experiences are engineered from the ground up.
💬 Quick Question for Creatives & Devs:
Are you team Drag-and-Drop Builders or team 100% Hand-Coded Architecture?
👇 Drop your thoughts below, let's connect and push the boundaries of modern web tech!
The part where you drive fog and flickering lights with WGSL shaders on the GPU feels like the kind of low level control that really cuts latency.