Two-Way Member Information Sync with Smaregi/Square
Learn how ReceiptRoller's member information syncs bidirectionally with connected POS systems like Smaregi and Square. Covers which fields sync, sync timing, conflict priority rules, new customer matching, supported POS systems, and troubleshooting.
Staff Sync via Square Integration
Explains how stores connected to Square POS can sync Team Member information bidirectionally with ReceiptRoller — job assignments, pay rates, assigned stores, owner permissions, and more, kept aligned with Square.
Smaregi Customer Data and Receipt Roller Customer Data Mapping
Explains how Smaregi's customer master is converted into Receipt Roller's customer data (CrmCustomerDto), field by field. Covers the membership number, name, contact info, and date-of-birth correspondence, the priority between mobile and landline numbers, and webhook-based sync timing.
Syncing and Updating Store Information
Update your store information on Google Business Profile (address, hours, phone, website) directly from ReceiptRoller. Bulk updates are supported for chain stores, streamlining information management across multiple locations.
Smaregi Integration — Overview and Getting Started
A first-stop overview of the Smaregi integration: what it does, what you need before you start, a 3-step setup summary, and links to detailed articles.
Shopify Integration
How to integrate PIM, OMS, and WMS between Shopify and Receipt Roller. Explains product sync, order import, and stock sync.
Square Customer Data and Receipt Roller Customer Data Mapping
Explains how customers registered in Square Customer Directory are converted into Receipt Roller's customer data (CrmCustomerDto), field by field. Covers the given_name / family_name correspondence, address decomposition logic, and how reference_id is handled.
Automatic Member Number Issuance Settings
Learn how ReceiptRoller automatically issues a member number for each customer. Covers the number format, how to configure the prefix and digit count, issuance timing, the impact of changing settings on existing numbers, and format validation for manual entry.
Amazon Integration
How to integrate PIM, OMS, and WMS between Amazon and Receipt Roller. Explains product listing, order import, and FBA stock sync.
Smaregi POS Integration Setup
Steps to set up the POS integration between Smaregi and ReceiptRoller. Install "ReceiptRoller Link" from the Smaregi App Market, log in with your Smaregi account, then select a store and terminal (register) from the "Connect with Smaregi" button on the POS settings screen to complete the connection. Also explains how to sync transaction data after connecting and how to handle multiple stores and terminals.
Smaregi x ReceiptRoller — Digital Receipts, Customer Management, and Sales Analysis in One App
Learn how ReceiptRoller Link connects with Smaregi checkouts to unify automatic digital receipt issuance, member management, sales analysis with AI advice, Apple/Google Wallet membership cards, SNS integration, and flyer distribution. Install "ReceiptRoller Link" from the Smaregi App Marketplace to get started today with no complicated API setup required.
Square Product Data and Receipt Roller Product Data Mapping
Explains how product data in Square Catalog is converted into Receipt Roller's product master (ProductDto), field by field. Covers the relationship between Item / Variation / Category, price currency normalization, and behavior on re-sync.
Connecting Google Business Profile
How to connect Google Business Profile. Linking your Google account enables automatic store information sync, review management, insight viewing, and Local Post publishing.
Smaregi Staff Data and Receipt Roller Staff Data Mapping
Explains how Smaregi staff master data is converted into Receipt Roller's staff data (StaffDto), field by field. Covers the name-splitting logic for staffName, the staffCode to EmployeeNumber mapping, and how displayFlag controls skipping of hidden staff.
Smaregi Transaction Data and Receipt Roller Transaction Data Mapping
A technical explanation of how transaction data fetched from the Smaregi Platform API is mapped into Receipt Roller's transaction data model. Covers the field mapping table, status code conversion, payment method normalization, resolving line items/customer/staff information, timezone handling, and idempotency.
Purchase History by Customer (POS Integration)
Learn how to review each customer's receipt-level purchase history from the CRM customer detail screen. Covers the conditions under which POS-issued receipts appear, why scanned paper receipts are excluded, how member matching works, privacy handling, and API access.
Store Help Index (Store DX, Digital Receipts, Reservation Management, Retail Media)
This is the ReceiptRoller store help index. It organizes every help article you need for store DX into three categories: customer touchpoints (store app platform, digital receipts, reservation management, retail media including media displays, coupons, CRM, social media management, and AI agent integration), store operations (store data, product management, e-commerce integration, OMS, WMS, shelf analytics, sales analytics, and staff), and account & extensions (getting started, roles and permissions, and the developer API).
Staff Chat Overview and Quick Setup
An overview of ReceiptRoller's built-in staff communication feature, covering announcements, 1-on-1 messages, group threads, sign-up, and owner/store manager moderation. A one-screen guide to getting started.
Smaregi Product Data and Receipt Roller Product Data Mapping
Explains how Smaregi's product master is converted into Receipt Roller's product master (ProductDto), field by field. Covers the correspondence for product code, product name, category, price, and cost, along with quirks specific to Smaregi.
Sales Analysis by Product
How to use Sales Analysis by Product. Covers period switching, category/product name filtering, sorting by sales/quantity/gross profit, ABC analysis, automatically generated AI advice (trend-based, profit-based, cross-store), and gross profit display using cost data — for both the per-store and all-stores views.