I turn messy product data, pricing rules and spreadsheets into clearer decisions — helping growing teams spot what's costing them.
Product classification review
/ 02 — PROOF OF THINKING
Not glossy screenshots. Clear problems, repeatable logic and outputs a business can actually use.
DATA QUALITY / RULE AUTOMATION
Compare product attributes against expected classifications, surface exceptions, and make correction reviews easier.
Open working example ↗PRICING / COMMERCIAL ANALYTICS
Model how revenue exposure and avoidable discount leakage combine into an annual opportunity estimate.
Try the simulator ↗REPORTING / AUTOMATION
A proposed framework for organizing SKU performance, rule exceptions and decisions into a lightweight, repeatable reporting cycle.
See the approach ↗ⓘ Public examples on this site use illustrative assumptions and synthetic records, not real client data or claimed client outcomes.
/ 03 — THE LIVE LAB
Two small, working tools that show how I approach real operational problems. Change the inputs and see the logic respond.
Each record has a category, premium flag, and current price group. The checker derives the expected group and flags mismatches automatically.
| SKU | Category | Premium | Current group | Expected group | Status |
|---|
Explore the theoretical revenue impact of small recoverable pricing differences. This is a planning illustration, not a forecast or financial diagnosis.
This hypothetical figure is not guaranteed savings. Actual findings depend on transaction-level checks and business rules.
/ 04 — HOW I CAN HELP
Practical analysis for small and medium-sized companies that need answers, not another complicated system.
Identify inconsistent discounts, unusual price relationships and opportunities worth investigating.
Review classifications, master-data drift and rule exceptions to reduce avoidable manual correction.
Build lean dashboards and repeatable analysis that teams can maintain after handover.
/ 05 — THE PERSON BEHIND THE LOGIC
I'm Eyad — a pricing and data analyst interested in the details most dashboards miss.
My background includes roughly one year working with manufacturer-level pricing workflows, product classifications, and SAP-based master data. I use spreadsheets, database queries and practical automation to turn recurring data problems into repeatable checks.
I care about work that is easy to explain, easy to maintain, and useful long after the first analysis.
/ 06 — THE APPROACH
Start with a specific business question, the existing process and a small relevant export.
Define the rules, find exceptions, and validate what the data actually supports.
Deliver a transparent output and a simple method to run the check again.
/ 07 — YOUR NEXT MOVE
Have messy pricing, product data or reporting? Tell me what keeps breaking, and let's find a practical way forward.
Start a conversation ↗Available for focused remote projects · US & GCC