Store Visitor Analysis
How to use Store Visitor Analysis. Explains period presets, the four summary cards (transaction count, member linkage rate, peak hour, busiest day of week), the hour x day-of-week heatmap, hourly/daily charts, and the 12-month stacked trend of new/repeat/anonymous customers — all from a store operations perspective.
Sales Trend Analysis
How to use Sales Trend Analysis. Explains period switching across the past 6/12/24 months, 8 types of trend bar charts, year-over-year (YoY) comparison, overlaid multi-store comparison, automatic anomaly detection, and automatic month-over-month insight generation — all from a store operations perspective.
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.
Customer data when a customer merges accounts
What happens to your store's customer data when a customer merges two ReceiptRoller accounts, and how to join two records of the same customer.
Customer Data Management
Centrally manage customer profiles, visit counts, and purchase records. Search, tagging, and notes let all staff quickly check up-to-date customer information.
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.
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.
Customer Loyalty Analysis
Automatically determine membership rank based on visit count and total spend. Track LTV and purchase frequency trends to help retain valuable customers and prevent churn.
Purchase History by Customer (POS Integration)
Review each customer's 30 most recent receipts on the customer detail page in Customers (CRM). Covers the conditions under which POS-issued receipts appear, why scanned paper receipts are excluded, how member matching works, privacy handling, and API access.
Product Performance Analysis
How to use product-level sales analysis. Explains date-range filtering, category/search/sorting, AI advice, ABC analysis, gross margin, and PIM integration, with screenshots.
Sales Dashboard
How to use the Sales Dashboard, which lets you check your store's key KPIs, a 12-month trend chart, auto-generated business insights, and a link to Sales Analysis by Product (all stores) on a single screen.
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.
Customer-Targeted Promotions
Group customers with a customer segment and offer coupons and specials to them through a push notification sent to that segment.
Customer Marketing Distribution
Send messages to customer segments across multiple channels including LINE and push notifications. Review all channel activity in a unified inbox.
AI Sales Forecasting
Explains linear extrapolation forecasting for month-end sales and transaction count, and 14-day-ahead demand forecasting (top 5 products, with day-of-week seasonality plus a 20% safety factor). Also covers the 3-tier confidence rating, API/MCP retrieval, and integration with the Sales Analysis by Product AI narrative.
What You Can Do with ReceiptRoller
Introduces what can specifically be achieved with ReceiptRoller, organized by use case. Covers digital receipts, customer analysis, promotions, sales forecasting, shelf management, SNS operations, and more, giving a full picture of store DX.
Customer Segments
Group customers by visits, total spent, days since last visit, rank, tag, prefecture, and store, and save the group as a segment. Choose a segment as the audience of a push notification.
Comment Management and Sentiment Analysis
Manage comments on your social posts across channels in one place, with AI sentiment analysis that classifies each comment as positive, neutral, a question, a complaint, or a PR risk. Helps you catch missed replies and potential PR issues early.
Visualizing Missed-Sale Opportunities
Visualizes missed-sale (stockout opportunity loss) items by shelf position. Combines POS data with shelf allocation to give an intuitive, map-like view of where items are selling.
Shelf Performance Analytics
A method for quantitatively evaluating shelf performance. Compares store efficiency across metrics such as space-to-sales ratio, GMROI, and out-of-stock rate across stores.