Independent static preview · Synthetic data only. No form, server functions, or database connection.

Synthetic demonstrations · Real technical workflows

See How We Solve Real Data Problems

Explore supplier CSV errors, Shopify catalog inconsistencies, invoice discrepancies, ecommerce migration issues and inventory data problems.

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Supplier CSV Cleanup & Repair

Problem: A supplier file contains inconsistent prices and ambiguous or missing fields.

Before · sample

id	sku	name	price	stock
R0010		Cotton Bath Towel - Small / 010	15.25	13
R0060	SKU-0060	Wireless Mouse Pad - Small / 060	$65.25	63
R0070	SKU-0070	Cotton Bath Towel - Medium / 070	$75.25	73
R0080	SKU-0080	Reusable Food Container - Large / 080	$85.25	8

After · reviewed output

id	sku	name	price	stock
R0010		Cotton Bath Towel - Small / 010	15.25	13
R0060	SKU-0060	Wireless Mouse Pad - Small / 060	65.25	63
R0070	SKU-0070	Cotton Bath Towel - Medium / 070	75.25	73
R0080	SKU-0080	Reusable Food Container - Large / 080	85.25	8

What we checked: We compared the synthetic inputs and identified inconsistent values or differences for review.

Results: 200 rows checked; five fields flagged for review; three price formats normalized. Missing or ambiguous values remain unresolved.

Deliverables: A review file and a summary of findings; ambiguous changes are left for your decision.

supplier_before.csv supplier_after.csv supplier_exceptions.csv

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Shopify Product Catalog Validation

Problem: Review product data before attempting an import.

Before · sample

id	sku	name	price	stock
R0001	SKU-0001	Organic Cotton T-Shirt - Small / 001	6.25	4
R0002	SKU-0002	Stainless Steel Water Bottle - Small / 002	7.25	5
R0003	SKU-0003	Ceramic Coffee Mug - Small / 003	8.25	6
R0004	SKU-0003	Canvas Tote Bag - Small / 004	9.25	7
R0005	SKU-0005	Bamboo Cutting Board - Small / 005	10.25	8
R0006	SKU-0006	Insulated Lunch Bag - Small / 006	11.25	9

After · reviewed output

id	field	status
R0003	sku	review
R0004	sku	review
R0015	price	review
R0025	name	review

What we checked: We compared the synthetic inputs and identified inconsistent values or differences for review.

Results: 200 rows reviewed; four warnings. This is a limited validation, not a guarantee of Shopify import compatibility.

Deliverables: A review file and a summary of findings; ambiguous changes are left for your decision.

shopify_review.csv shopify_flags.csv

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Purchase Order vs Supplier Invoice Review

Problem: Compare line quantities and prices using identifiers.

Before · sample

sku	qty	unit_price
ITEM-001	6	11
ITEM-002	7	12
ITEM-003	8	13
ITEM-004	9	14
ITEM-005	10	15
ITEM-006	11	16

After · reviewed output

sku	po_qty	invoice_qty	po_price	invoice_price	delta
ITEM-005	10	10	15	19	40
ITEM-010	7	15	20	20	160
ITEM-020	9	2	10	10	-70

What we checked: We compared the synthetic inputs and identified inconsistent values or differences for review.

Results: 60 lines per file; three differences and a net invoice variation of $130. This is not a confirmed loss.

Deliverables: A review file and a summary of findings; ambiguous changes are left for your decision.

po.csv invoice.csv po_invoice_differences.csv

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Ecommerce Migration Data Rescue

Problem: Compare original and migrated catalog data and retain uncertain records.

Before · sample

id	sku	name	price	stock
R0001	SKU-0001	Organic Cotton T-Shirt - Small / 001	6.25	4
R0002	SKU-0002	Stainless Steel Water Bottle - Small / 002	7.25	5
R0003	SKU-0003	Ceramic Coffee Mug - Small / 003	8.25	6
R0004	SKU-0004	Canvas Tote Bag - Small / 004	9.25	7
R0005	SKU-0005	Bamboo Cutting Board - Small / 005	10.25	8
R0006	SKU-0006	Insulated Lunch Bag - Small / 006	11.25	9

After · reviewed output

id	issue
R0010	changed fields: price
R0020	changed fields: stock
R0030	changed fields: sku
R0050	missing from destination
R0501	additional destination record; retain for review

What we checked: We compared the synthetic inputs and identified inconsistent values or differences for review.

Results: 200 records in each catalog; five findings, including an additional record preserved for review.

Deliverables: A review file and a summary of findings; ambiguous changes are left for your decision.

migration_source.csv migration_destination.csv migration_findings.csv

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Inventory & Supplier Data Standardization

Problem: Map supplier files with different headers into a common structure.

Before · sample

ref	supplier_sku	name	unit_price	units
R0001	SKU-0001	Organic Cotton T-Shirt - Small / 001	6.25	4
R0004	SKU-0004	Canvas Tote Bag - Small / 004	9.25	7
R0007	SKU-0007	LED Desk Lamp - Small / 007	12.25	10
R0010	SKU-0010	Cotton Bath Towel - Small / 010	15.25	13
R0013	SKU-0013	Organic Cotton T-Shirt - Medium / 013	18.25	16
R0016	SKU-0016	Canvas Tote Bag - Medium / 016	21.25	19

After · reviewed output

id	sku	name	price	stock	source
R0001	SKU-0001	Organic Cotton T-Shirt - Small / 001	6.25	4	1
R0004	SKU-0004	Canvas Tote Bag - Small / 004	9.25	7	1
R0007	SKU-0007	LED Desk Lamp - Small / 007	12.25	10	1
R0010	SKU-0010	Cotton Bath Towel - Small / 010	15.25	13	1
R0013	SKU-0013	Organic Cotton T-Shirt - Medium / 013	18.25	16	1
R0016	SKU-0016	Canvas Tote Bag - Medium / 016	21.25	19	1

What we checked: We compared the synthetic inputs and identified inconsistent values or differences for review.

Results: Three supplier files, 200 combined records. Conflicting and uncertain information requires human review.

Deliverables: A review file and a summary of findings; ambiguous changes are left for your decision.

supplier_feed_1.csv supplier_feed_2.csv supplier_feed_3.csv consolidated.csv

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All examples use synthetic data. Preview tables show the first six rows; download the files to inspect the complete data.