Setting Up an In-Store Ad Terminal
Explains how to set up an ad terminal (digital signage, shelf display, or POS display) in your store and register it as an ad space.
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.
Product Category Management
How to set up product categories. Explains the category field on the product form, hierarchical notation (Food | Beverages | Tea), bulk CSV updates, and naming conventions, with screenshots.
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.
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.
Specifying Distribution Segments
Learn how to target notifications with customer segments instead of sending to everyone at once. Covers available filter conditions, combining conditions with AND/OR, previewing recipient counts before sending, and common segment examples.
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.