Parity between Scintilla Channel Performance & Merch One Scintilla’s Store Inventory metrics are transitioning from a legacy data source to a new Enterprise Inventory (EI) data source to align with the enterprise-standard inventory system, eliminate inconsistent logic within the legacy data source, and improve replenishment metric accuracy. This transition will occur by August (exact date TBD). Merchandising transitioned Merch One to this new data source on Tuesday, June 23. As a result, there will be some variance when comparing data between Scintilla and Merch One from June 23 – until Scintilla makes the same transition for the following metrics: Store (out of stock metrics), Total On Hand, Total In Transit, Total In Warehouse, Total On Order. A new banner will be raised when this work is completed.
We are aware of a data issue with RFID Tag Part table. We are working to fix the issue.
Service Advisory: Cloud Feeds, Data feeds Pipeline Delay We are currently experiencing an infrastructure issue impacting Cloud Feeds and Data feeds data pipelines due to a constraint within our platform. As a result, there may be delays in data availability and refreshes. We are actively engaging and working toward resolution. We will provide updates as additional information becomes available.
We have become aware that there is missing store sales data for May 26, 2026. This missing data is impacting Scintilla suppliers and the category advisor persona who rely on headless access (Cloud Feeds, Data Feeds API and Scintilla Media Data Feed). Our team investigated the issue and resolved it as of 11:30 am CT this morning. Report Builder is unaffected and has all sales data for May 26, 2026. Please see the next steps below on how to restore missing sales data. Data Feeds API: The historical file for the affected May 26 store sales data will be made available, and suppliers will need to manually consume it to recover the missing records.
We have become aware that there is missing store sales data for May 26, 2026. This missing data is impacting Scintilla suppliers and the category advisor persona who rely on headless access (Cloud Feeds, Data Feeds API and Scintilla Media Data Feed). Our team investigated the issue and resolved it as of 11:30 am CT this morning. Report Builder is unaffected and has all sales data for May 26, 2026. Please see the next steps below on how to restore missing sales data. Cloud Feeds: The data will be restated and published as an on-demand update in the status table. Suppliers can manually use the status timestamp to read the restated store sales data using CDF. If they do not take manual action today, then it will process automatically tomorrow via the normal CDF process.
The planned January Release will include the following:
Table Enhancements
Store Fulfillment Update The Store Fulfillment (OPD) table has been re-launched with a significantly enhanced schema to support year-over-year analysis and improved store-level insights.
What’s New
The table now includes separate This Year (TY) and Last Year (LY) metrics for key Store Fulfillment measures, enabling easier year-over-year comparisons without requiring additional joins.
New store-level attributes, including Geographic Region Code and Operational Company Code, have been added.
Column naming has been standardized to clearly distinguish TY (ty) and LY (ly) metrics.
What Stayed the Same:
Existing access to the Store Fulfillment (OPD) table remains unchanged.
Refresh frequency and target refresh times are unchanged.
Core Store Fulfillment metrics continue to be available, now delivered in an expanded and more analysis-ready format.
Note: This update introduces a large number of new columns and replaces prior single-year metric fields. Customers are encouraged to review the updated documentation and adjust queries as needed to leverage the new schema.
New Tables
New for Suppliers:
SSI Table The Scintilla BI Link pre-joined SSI table delivers week-level aggregated data across nine source tables—Backroom Adjusted Inventory, Inventory Adjustments, MTR, MUMD, Store Customer Returns, Store Fulfillment (OPD), Store Inventory, Store Returns, and Store Sales—in a single pre-compiled dataset. Because the data is aggregated at the week grain, users should carefully review aggregations and calculations to ensure analytical accuracy.
