Setup & Migration

Import your existing data into ListerLeo from spreadsheets or other systems so you can hit the ground running.

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If you are switching to ListerLeo from another system, the Migration Wizard helps you import your existing condition codes, vendors, warehouse locations, lots, and items. This saves you from manually recreating all your data. Access is restricted to org-owner and org-admin.

Accessing the Migration Wizard

  1. In the left sidebar, open Setup > Migration Wizard.
  2. On the Welcome step, pick the source platform (ManyFastScans, HiBid, Proxibid, AuctionZip / Invaluable, or Other / Generic CSV) so the wizard can pre-fill column mappings and condition-code aliases.
  3. The wizard then walks you through the steps in order: Condition Codes → Vendors → Warehouses & Locations → Condition Mapping → Lots → Items → Summary.
Screenshot

Import Order Matters

The wizard enforces a specific import order because data has dependencies:

  • Condition Codes first — Items reference condition codes (N, LN, G, F, P, S by default), so any custom codes must exist before importing items.
  • Vendors — Items and lots reference vendors by name or code, so vendors must exist before importing them.
  • Warehouses & Locations — Items reference locations for put-away, so locations must exist before importing items with location data.
  • Lots — Items are assigned to lots by lot_number, so lots must exist before importing items with lot assignments.
  • Items last — Items can reference vendors, locations, lots, and condition codes.
Tip:

You do not have to import every step. Use Skip to bypass any step you do not have data for — the wizard will keep moving forward and stamp the step as skipped in the Summary.

Importing Condition Codes

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New organizations ship with six default condition codes (N — New, LN — Like New, G — Good, F — Fair, P — Poor, S — Salvage). If you want to add or replace them with codes from your previous system, upload a CSV in this step.

CSV Format

Each row represents one condition code. Auto-detection recognises common header variations.

Column Required Description
codeYesShort code (e.g., N, LN) used in CSVs and labels
nameYesDisplay name (e.g., "New", "Like New")
descriptionNoOperator-facing definition of the code
sort_orderNoNumeric order in pickers (low to high)

Importing Vendors

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Import your vendor (consignor) list from a CSV file to set up all your suppliers at once. Vendors are matched on name for duplicate detection.

CSV Format

Your vendor CSV must include a name column. Optional columns include:

Column Required Description
nameYesVendor / consignor name (aliases: vendor_name, supplier, supplier_name, company, company_name)
codeNoShort vendor code used in serial numbers and lot prefixes. Stored as-is if provided; left blank otherwise.
contact_nameNoPrimary contact person
contact_emailNoContact email (validated)
contact_phoneNoContact phone number
addressNoBusiness address
notesNoFree-form notes / comments / memo
default_buyers_premium_pctNoVendor-level buyer's premium percentage used by the settings cascade
default_timezoneNoVendor-level timezone for auction scheduling
default_termsNoAuction terms text inherited by lots from this vendor
default_pickup_locationNoDefault pickup address for items from this vendor
  1. Upload your CSV file.
  2. Review the auto-detected column mapping and adjust any unmapped columns.
  3. Preview rows shown by the wizard (first 5 rows) for accuracy.
  4. Choose a duplicate strategy (Skip, Update, or Flag) and run the import.

Importing Warehouses & Locations

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Import warehouse locations from a CSV file. Each row represents one location node (zone, aisle, shelf, or bin). Build the hierarchy by referencing parent codes — or use the Location Wizard for programmatic bulk creation instead.

CSV Format

Column Required Description
location_codeYesUnique code for this location (aliases: code, location, location_id, zone, aisle, shelf, bin)
warehouse_nameNoWhich warehouse this location belongs to. Falls back to your default warehouse (the one with is_default=true — your "Main Warehouse" out of the box) if blank or unmatched.
location_typeNoOne of zone, aisle, shelf, bin. Defaults to bin if omitted.
nameNoHuman-readable label (e.g., "Receiving Bay")
barcodeNoScan code printed on the location label
parent_location_codeNoCode of the parent location (a bin's parent is a shelf, a shelf's is an aisle, an aisle's is a zone)
Important:

Duplicates are detected on location_code. Use the duplicate strategy selector to choose Skip (keep the existing record), Update (overwrite with the CSV values), or Flag (record an error for manual review).

Importing Lots

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Import existing lots from a CSV to preserve your lot structure when migrating from another system. Lots are deduplicated on lot_number.

CSV Format

Column Required Description
lot_numberYesExternal lot number from your previous system (aliases: lot_serial, lot_code, lot_id, lot_no, number)
nameNoLot title for auction listing (aliases: lot_name, title, label)
descriptionNoLot description / notes / details
vendorNoVendor name or code; matched against existing vendors
statusNoLot status. Allowed values: draft, receiving, cataloging, staging, ready_for_auction, exported, sold, archived. Unknown values fall back to draft.
auction_dateNoScheduled auction date for the lot

If a vendor name or code is provided, ListerLeo matches it against existing vendors. Vendors must be imported first if you want lot rows to link cleanly.

Importing Items

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Import auction items from a CSV to bring your existing inventory into ListerLeo. This is the most data-rich import. Items are deduplicated on barcode when one is provided.

CSV Format

Column Required Description
titleYesItem name (aliases: item_title, product_name, product_title, name, heading)
barcodeNoUPC, EAN, SKU, or other scan code (aliases: upc, ean, sku, item_barcode, product_barcode, scan_code)
descriptionNoItem description / details / listing description
conditionNoCondition code (e.g., N, LN) — runs through Condition Mapping if it does not match
condition_notesNoFree-form damage or defect notes
quantityNoNumber of units in this item record (aliases: qty, count, units)
starting_bidNoOpening bid (aliases: start_bid, start_price, opening_bid, minimum_bid)
reserve_priceNoReserve / minimum sale price
buy_now_priceNoBuy-it-now / fixed price (aliases: buy_now, fixed_price, bin_price)
estimated_valueNoMSRP / retail / market value (aliases: value, est_value, market_value, retail, retail_price, msrp, price)
costNoAcquisition / cost-of-goods (aliases: item_cost, purchase_price, acquisition_cost, cogs)
lot_numberNoAssigns the item to an existing lot by lot_number
vendorNoVendor name or code; matched against existing vendors
statusNoWorkflow status (aliases: item_status, state, workflow_status). Allowed values: scanned, cataloged, put_away, picked, sold, archived. Unknown values fall back to scanned.
Tip:

Imports run as background batches. Track progress in the wizard's Summary step, and continue working in other tabs while large files process. Each batch creates a row in ImportBatch; the wizard polls for completion and shows per-row error counts.

Condition Mapping

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When importing items from another system, the condition values in your CSV may not line up with your ListerLeo condition codes. The wizard inserts a Condition Mapping step between Warehouses and Lots so you can translate external condition values to your internal codes.

How Condition Mapping Works

  1. The wizard loads the condition-code mapping defined by the source platform profile (ManyFastScans, HiBid, Proxibid, AuctionZip / Invaluable, or Other / Generic CSV).
  2. Each external value is paired with a dropdown showing your organization's condition codes (sorted by sort_order).
  3. Adjust any pre-filled mappings to match your codes — unmapped values fall through and trigger a validation error during the items import.
  4. Continue to the Lots step. The mapping is passed into the items importer so condition columns are normalised row-by-row.
Screenshot

Undo Import

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If a step's import produces unexpected results, use the per-step Undo Import button in the wizard to delete the records created by that batch.

How to Undo an Import

  1. On the step that just finished importing, the results panel shows created / updated / skipped counts.
  2. Click the red Undo Import button at the bottom of that panel.
  3. The wizard deletes every record this batch created and shows a confirmation toast with the number rolled back.
Important:

Undo only removes records this batch created. Records the batch updated (when the duplicate strategy was Update) are not reverted to their previous values. This action cannot be undone.

Location Wizard

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The Location Wizard (Setup > Location Wizard) is a visual tool for generating a four-level warehouse hierarchy — Zone → Aisle → Shelf → Bin — in bulk. Unlike the CSV import, the wizard lets you specify counts at each level and previews the plan before writing anything to the database.

For full details on the Location Setup Wizard, see Warehouse > Location Setup Wizard.

Quick Example

To create a warehouse with 3 zones, 4 aisles per zone, 5 shelves per aisle, and 4 bins per shelf:

  • Zones: A, B, C (auto-named, or override with custom names)
  • Aisles per zone: 4 (codes A1, A2, …)
  • Shelves per aisle: 5 (codes A1-S1, A1-S2, …)
  • Bins per shelf: 4 (codes A1-S1-B1, A1-S1-B2, …)
  • Result: 3 zones + 12 aisles + 60 shelves + 240 bins = 315 locations

Set Bins per shelf to 0 if your warehouse stops at shelves. The Configure step also detects conflicts with existing location codes so a re-run will not clobber what is already there.

Post-Migration Checklist

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After completing your data migration, run through this checklist to ensure everything is set up correctly.

  • Verify vendor count — Check that all expected vendors were imported. Navigate to Management > Vendors / Consignors and compare the count with your source data.
  • Spot-check items — Open 10-20 random items and verify their titles, barcodes, conditions, and vendor assignments are correct.
  • Verify location count — Confirm the number of warehouse locations matches your physical setup.
  • Test the Processing Station — Scan a test item to verify the full scanning workflow works with your imported vendors.
  • Test label printing — Print a test label to confirm your printer is configured correctly.
  • Set up workflow steps — In Organization > Settings, review the workflow_steps list (defaults: single_screen, photograph, describe, measure, condition, price, review) to control which prompts appear during scanning.
  • Invite your team — Use Organization > Invitations (or the Setup Wizard's "Invite team" step) to send invitations and assign roles.
  • Run a test export — Generate a test CSV export to verify your template produces the correct format.
Tip:

Run a small pilot with 2-3 users for a day before rolling out to the full team. This catches any configuration issues before they affect everyone.

Data Validation

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During import, ListerLeo validates each row and reports any issues. Understanding validation errors helps you fix your CSV and re-import.

Common Validation Errors

  • Required field missing — A required column has an empty value in a row (e.g., title on items, name on vendors, lot_number on lots, location_code on locations, code / name on condition codes). Fix: fill in the missing value.
  • Invalid email format — A vendor contact_email failed FILTER_VALIDATE_EMAIL. Fix: correct or clear the address.
  • Duplicate — A row collides with an existing record on the duplicate-check field (vendors and lots on name / lot_number; locations on location_code; items on barcode; condition codes on code) and the strategy is Flag. Fix: switch to Skip or Update, or remove the duplicate row.

Unmatched vendor or lot references do not produce errors: the items importer silently creates a "migration import" lot when lot_number does not match an existing lot, and unmapped condition values are stamped onto the item as-is unless caught by Condition Mapping.

Each error row is recorded against the import batch with the row number, the error message, and the failing value, making it easy to find and fix issues in your source file.