The operating problem
Warranty pricing is fragile when product groups, model numbers, warranty sheets, Shopify variants, and marketplace context are maintained across separate systems.
Use OpenTeam to prepare a Vesta price-list workbook, calculate warranty add-on prices, and sync existing Shopify warranty variants after a controlled dry run.
Ecommerce teams selling through Shopify and Amazon Seller that maintain product price lists, warranty options, model numbers, and variant-level pricing in spreadsheets.
Warranty pricing is fragile when product groups, model numbers, warranty sheets, Shopify variants, and marketplace context are maintained across separate systems.
OpenTeam prepares the workbook, flags unclear product groups, runs a Shopify dry run, and updates only approved existing warranty variants after human review.
Available connectors and built-on-request integrations are separated on purpose, so customers can see the current starting point and the custom scope for rollout.
Active products, model numbers, product variants, and existing 2/3/4/5-year warranty variants.
Marketplace listings, ASIN or SKU context, and commerce records used to reconcile the ecommerce catalog.
Excel workbook stored in OneDrive or SharePoint, including the US sheet, Warranty sheet, and final price-with-warranty columns.
Team skill that reads the workbook, calculates warranty add-on prices, normalizes prices across product variants, and fills final columns.
Team skill that matches workbook rows to active Shopify products, preferably by model number, and updates existing warranty variants.
Customer-specific matching rules for manual reference rows, fallback matches, skipped products, and variant naming conventions.
These are the repeatable steps a customer can turn into a Team workflow, skill, or managed review process.
Upload or select the latest Vesta price-list workbook with the US sheet, Warranty sheet, model numbers, product groups, and warranty price columns.
Run update-warranty-prices to calculate warranty add-on prices, normalize warranty prices across variants of the same product, and fill final price-with-warranty columns.
If a product group has no clear reference row, OpenTeam asks for the manual reference row so the workbook can be rerun with an explicit source of truth.
Use the finished workbook as input to update-shopify-prices and match rows to active Shopify products, preferably by model number before using fallback matching.
Preview updates without writing changes, including match counts, fallback matches, missing warranty variants, skipped rows, and changed prices.
After review, run the real sync to update existing 2/3/4/5-year warranty variants only; the workflow does not create new Shopify variants.
Produce a final report showing what changed, what was skipped, fallback matches used, missing warranty variants, and any products needing manual cleanup.
Run update-warranty-prices on this Vesta price-list workbook and show me any product groups that need a manual reference row.
Use row 42 as the manual reference row for this product group, rerun the warranty workbook, and summarize changed price-with-warranty columns.
Run update-shopify-prices as a dry run against active Shopify products and show match counts, fallback matches, missing warranty variants, and changed prices.
The dry run looks clean; prepare the real Shopify update for existing 2/3/4/5-year warranty variants and report what changed or was skipped.
Start with one Vesta workbook, read access to Shopify and Amazon Seller, and a limited product set.
Validate update-warranty-prices output against known products before allowing Shopify dry runs.
Review dry-run reports until model-number matches, fallback rules, and missing-variant handling are stable.
Allow real Shopify updates only after an operator approves the dry-run report for that workbook version.
Bring campaign, lead, listing, commerce, review, and revenue context into a weekly operating rhythm.
Connect ERP, custom databases, APIs, exports, and operating documents so OpenTeam can prepare controlled reports and exception queues.
Search, read, summarize, organize, and produce work from OneDrive, SharePoint, Google Drive, Office files, PDFs, and email attachments.