Analyze Sales & Inventory without Traditional Spreadsheets Crashes.

Combine exported Shopify, Amazon, and warehouse CSVs locally. Choose matching product identifiers, check date formats, and inspect the merged inventory or sales result.

Download for E-commerceDownloads standard DataOlllo PC App

Stop Fighting Multi-Channel Chaos

BEFORE
VLOOKUP Hell & Broken Dates.
Amazon_Date
Shopify_SKU
Stock
03/12/2023
#VALUE!
0
2023-12-03
#N/A
150
Manual format fixing required...
↓
AFTER
Unified Standardized Master View.
Date (Unified)
SKU_Code
Global_Stock
Dec 03, 2023
SKU-992
520
Dec 03, 2023
SKU-995
150
Example: sales and inventory joined by SKU

Illustrative join result. Confirm that SKU values use the same format, check duplicate keys, and compare source totals with the output before making inventory decisions.

Built for Multi-Channel Sellers

Merge Quick

Join exported fulfillment and sales reports using a shared identifier. If one source uses ASINs and another uses SKUs, prepare a mapping first; different identifiers do not match automatically.

Datetime Convert

Automatically parse MM/DD/YYYY, DD/MM/YYYY, or ISO formats from different platforms into one standard timeline.

$ £ €

Currency Normalization

Fix formatting and currency issues from international marketplace exports automatically.

Your customer data is safe.

Analyze customer lifetime value and order history locally.
Standard CSV operations run locally. Optional online AI features can involve external services; review their data flow before using sensitive exports.

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