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$
USD
I will find hidden shipping cost leaks in your shopify store
About this Gig
Are hidden carrier overcharges quietly eating your Shopify store's profit margins?
Most e-commerce founders don't realize that shipping carriers (like FedEx, UPS, DHL, or national 3PLs) automatically charge you based on Volumetric Weight (Dimensional Weight) rather than physical weight if your packaging leaves empty space inside the box. If your warehouse team uses a standard default box size for small, dense items, you are paying a massive premium just to ship empty air out of your prepaid wallet.
As a specialized e-commerce data consultant, I built a custom programmatic data pipeline in Python specifically designed to audit raw order data against carrier billing sheets to find these hidden leaks.
What I will do for you:
Using your raw data exports, my script executes an itemized line-by-line audit to isolate:
DIM Weight Penalties: Orders flagged where the volumetric billed weight exceeds the actual item weight.
Multi-Unit Scaling Discrepancies: Systemic rounding errors that occur when a customer orders multiple distinct SKUs in one cart.
Carrier Billing Deviations: Discrepancies where the carrier invoiced a higher price tier than your contractual
Programming language:
Python
Technology:
Excel
•
Google Sheets
•
Jupyter Notebook
•
Other
Analysis Type:
Descriptive Analysis
•
Diagnostic Analysis
Expertise:
Business Insights
•
Algorithms
•
Anomaly detection
•
Other
FAQ
What exactly do you need from me to perform the shipping cost audit?
I only need two flat files: 1. Your raw Shopify line-item order export (CSV/Excel format) for the period you want audited. 2. Your corresponding 3PL or shipping carrier billing invoice sheet for that same period. No live store access, credentials, or API keys are required.
How do you protect the privacy of my store and customer data?
Data security is my top priority. Before uploading your Shopify CSV, you can completely delete or mask columns containing private customer details (like names, phone numbers, or exact street addresses). My Python script only processes the SKU IDs, postal codes, order dates, package dimensions, and c
What kind of actionable warehouse rules will I receive?
You will receive specific, data-backed packing adjustments. For example, if the audit reveals that shipping SKU-A in your standard Box-2 triggers a 40% volumetric weight penalty from your carrier, I will provide the exact smaller box configuration thresholds required to escape that penalty slab.
