We'll use this to pre-map your fields automatically. Don't see yours? Choose "Other" — we handle any CSV.
🛒
StoreHub
Strong match
🍜
Slurp!
Strong match
⬛
Square
Strong match
⚡
Lightspeed
Strong match
📱
Revel POS
Strong match
📄
Other / Custom CSV
We'll figure it out
Step 2 of 4
Upload your CSV export
Export a sales transaction report from your POS and drop it here. Ideally at least 3 months of data — more gives better results.
📂
Drop your file here, or click to browse
CSV or Excel · Up to 50MB
📊file.csv—
Analysing your data
Reading your file...
This usually takes 20–30 seconds. We're mapping your fields to our standard data model.
0%
Starting...
Uploading file to secure environment
Detecting file structure and encoding
Identifying column headers and data types
Mapping fields to standard F&B data model
Validating data quality and date ranges
Calculating accuracy score
Analysis complete
Your data is ready to load.
We mapped most fields automatically. Review the results below, then confirm to build your dashboard.
82%
82% field match accuracy
10 of 12 fields mapped automatically. 2 fields need a quick follow-up to confirm the right mapping.
24,831 rows loaded4 outlets detectedJan 2024 – Feb 2026
Field mapping — your CSV → Vantage standard model
Your column
→
Standard field
Status
receipt_no
→
Order ID
✓ Matched
txn_date
→
Date & Time
✓ Matched
item_name
→
Product Name
✓ Matched
category
→
Category
✓ Matched
qty
→
Quantity Sold
✓ Matched
unit_price
→
Unit Price
✓ Matched
net_sales
→
Net Revenue
✓ Matched
discount_amt
→
Discount Amount
✓ Matched
outlet_name
→
Outlet
✓ Matched
payment_type
→
Payment Method
✓ Matched
cashier_id
→
Staff ID
⚠ Partial
promo_code
→
Promotion Code
✕ Needs review
2 fields flagged for follow-up. cashier_id doesn't have a staff name mapping — we'll send you a short question after setup. promo_code format is non-standard — we'll confirm the right interpretation before it affects reports.
Building your dashboard...
Setting up your report engine, loading your data, and configuring your outlets.
Loading 24,831 transaction rows
Configuring 4 outlets
Building report query engine
Setting up saved reports library
Preparing scheduled delivery
✓
Your dashboard is ready.
Everything is loaded. You can now ask questions, get reports, save them, and schedule them — all from your data.
📊
Kopi & Co — Live Dashboard
4 outlets · 24,831 transactions · Jan 2024 – Feb 2026