Documentation Index
Fetch the complete documentation index at: https://docs.retailgrid.io/llms.txt
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Summary: This cycle made Retailgrid feel more responsive across three axes — language (a working English / Finnish switcher and a fully localized AG Grid chrome), data freshness (every grid now refreshes itself overnight, no manual replace needed), and observability (the in-app loader is now hard to miss). Under the hood, the static metrics that used to live in Cloud SQL now flow through BigQuery, so every metric — not just sales — accumulates a daily history.
Features
- Shipped multi-language UI powered by Crowdin. A language switcher in Settings → Account lets you pick English or Finnish; the entire app, including AG Grid headers, filter menus, and pagination, follows your selection. Your own data (product names, categories) is never translated.
Improvements
- Nightly grid refresh: every grid now refreshes automatically overnight with the latest data from your Datasets. Replaced datasets are picked up the next morning without any manual action.
- The in-app processing indicator is now centered and more prominent — no more clicking around while a workbook upload is still running. Only the agents that are actually in flight are shown in the loader.
- Pricing Strategy runs now surface a Download button on the run progress card as soon as the deck is ready, so you can grab the Gamma link without drilling into Runs.
- Static metrics like Margin and Current Unit Margin now keep a daily history in BigQuery alongside time-series metrics — unlocking future analytics that compare how every metric has moved over time, not just sales.
Bug Fixes
- In the Grid creation flow, pressing Back after a mapping error now returns you to the Mapping step with your selections preserved, instead of dropping you on the legacy upload screen. The legacy
/uploadroute was also removed.
Technical Updates
- All transactional tables now stream from Cloud SQL into BigQuery on an ongoing basis, consolidating analytics on a single warehouse. No user-visible change today; this is the foundation for upcoming time-series dashboarding.
Summary: This cycle promoted the Pricing Strategy agent from prototype to product (real grid data, real account binding, full timeframe ladder), introduced an internal Super Admin role with a cross-account directory and customer-account impersonation, added Single Select / Status as a first-class grid column type, and tightened the Runs view with a default 7-day window and an active-jobs badge.
Features
- Promoted the Pricing Strategy agent to product: it now reads your Account company name and runs on real Grid data via BigQuery — no more placeholder numbers — and supports seven timeframes (last 7 / 30 / 90 days, QTD, YTD, T12M, Custom).
- Added the Super Admin role for Retailgrid staff, with a cross-account All Accounts directory and the ability to log in as any customer account for demos, validation, and bug reproduction. Every enter/exit is audited. (Internal Retailgrid staff only.)
- Added Single Select / Status as a column type in Add Column, with auto-mapped colored pills — ideal for product roles, workflow states, and risk tiers.
Improvements
- The Runs view now shows the last 7 days by default, with Last 30 days and All time controls when you need a wider window.
- Added an active-runs badge to the Runs sidebar icon — a quick at-a-glance signal that something is still in flight.
- Polished the Price Analysis panel in Rules Based Pricing: cleaner labels (Start Price, Applied Rules), consistent 2-decimal formatting, and a margin-impact card trio (new unit margin, pp change, relative change).
Summary: This cycle shipped the public REST API for data ingestion, surfaced pricing-rule traceability in the right Insights Panel, added richer column-type support to the grid, introduced the Pricing Strategy agent, and cleaned up the MVP UI ahead of the v1 demo.
Features
- Shipped the public REST API v1 for Products and Transactions data ingestion, so retailers can load and maintain data programmatically without manual CSV uploads.
- Added a Rules Based Price Insights Panel — click any calculated rules-based price in the grid to see the pricing trace, applied rules, and any violated rules for that row.
- Added Analytical Metric as a third column type in the Add Column flow, so users can pick from a curated list of pre-built retail metrics (margin, revenue, price index, elasticity).
- Added the Pricing Strategy agent — generates an AI-powered pricing strategy presentation directly from your retail data.
Improvements
- Refreshed the Agents selection UI: removed Credits / Buy Credits placeholders and per-agent pricing, regrouped agents to match the new structure.
- Removed credits, billing, and Team placeholder sections from UI Settings ahead of MVP.
Bug Fixes
- Fixed the Group column disappearing from view after applying Group By in the workbook.
- Fixed columns (notably Product URL and Image URL) disappearing from the grid after running the Rules-Based Pricing agent.
Summary: This cycle focused on making Rules-Based Pricing faster, more reliable, and easier to use. We shipped AI-assisted rule setup, reusable action configs, several UX improvements, and fixes for large-grid and session reliability issues.
Features
- Added AI-powered rule creation, so users can describe a pricing rule in plain language and review the generated setup before saving.
- Added save and load for action configurations, making it easier to reuse pricing setups.
- Improved rule setup with context-aware column selection and search, so only relevant fields are shown for each rule type.
Improvements
- Refreshed the Actions UI to better match the Retailgrid design system and improve consistency across the flow.
- Moved advanced rule parameters behind a cleaner expandable section to reduce UI clutter.
- Improved app availability so the product stays responsive instead of needing to wake up after inactivity.
Bug Fixes
- Fixed grid creation filters so they apply correctly and update previews as expected.
- Fixed failures when working with very large grids, including datasets around 200k rows.
- Fixed Rules-Based Pricing execution being blocked by another job.
- Fixed rounding behavior in Rules-Based Pricing so rule order and rounding work together more predictably.
- Added automatic logout after long inactivity for better session security and more reliable timeout behavior.
Technical Updates
- Reduced memory issues in Rules-Based Pricing runs on large datasets.
- Prevented database connection exhaustion in production to improve backend stability.
Summary: This cycle focused on making competitor pricing workflows much more usable and trustworthy. We shipped major Market Data UI improvements, added clearer pricing visuals, and fixed several pricing and data accuracy issues.
Features
- Added a new competitor pricing view in the grid, so users can compare competitor prices directly in-row and open source links faster.
- Added a visual Price Range column showing min/max competitor prices and where the current price sits in the market range.
- Improved the Columns panel with grouped sections, search, expand/collapse, and bulk show/hide controls for faster navigation in large datasets.
- Added column type icons to make editable, formula, and AI-generated columns easier to distinguish.
Improvements
- Moved the Export button to a more accessible position in the toolbar.
- Renamed “Load Data” to “Upload Data” for clearer terminology.
- Improved competitor matching by prioritizing Product ID before falling back to SKU.
Bug Fixes
- Fixed incorrect competitor price indicator colors so market position is shown accurately.
- Fixed stale Zooplus competitor prices so the latest value is displayed.
- Corrected competitor gap and undercut percentage calculations.
- Fixed missing “Last updated” values in Datasets.
- Improved rule-based pricing rounding so rounded prices stay within the feasible range.
Technical Updates
- Migrated production infrastructure to Google Cloud.
- Set up profiling and telemetry foundations to improve performance analysis and debugging.
Summary: This cycle shipped major usability improvements across pricing, data management, and grid workflows. Users can now configure pricing rules visually, manage datasets directly in the app, and work with clearer grid controls and data signals.
Features
- Rules-based pricing: Shipped a full rules configuration flow with support for multiple rule types, rule ordering, conditions, enable/disable controls, and action execution.
- Datasets management: Added a dedicated datasets page for uploading, viewing, downloading, replacing, and deleting imported files, with status tracking and row counts.
Improvements
- Added a derived promo flag (
is_promo) to support filtering, rules, and downstream workflows involving promotional items. - Updated the grid to show filtered vs total row count, making it easier to understand active filters at a glance.
- Made Add Column easier to access from the main menu.
- Improved CSV import behavior by removing automatic workbook creation, giving users more control during import flows.
Bug Fixes
- Fixed import behavior so CSV uploads no longer create workbooks automatically in the background.