SBU & Department 46 Hierarchy Changes:
Fashion → Style;
Home → Style;
ETS + Hardlines → ETS/Hardlines;
Department 46 (Beauty) → Style.
Important Dates:
Operational hierarchy updates: October 20; Shopper Behavior updates: December 7. Please login to
Scintilla.com for a more detailed banner
Share your experience in our short survey! Click here
We are aware of incorrect data for the street_dt field in Product Dimensions. Our data teams are prioritizing identifying a resolution. We anticipate that the corrected data will be available in the September 25, 2026 refresh. We apologize for the inconvenience.
We are aware of incorrect data for the street_dt field in Product Dimensions. Our data teams are prioritizing identifying a resolution. We anticipate that the corrected data will be available in the September 25, 2026 refresh. We apologize for the inconvenience.
As of today, September 23, Scintilla’s Store Inventory metrics have transitioned from a legacy data source to the new Enterprise Inventory (EI) data source, meaning that any data for September 23 and onwards will sourced from EI. This aligns Scintilla with the enterprise-standard inventory system, eliminates inconsistent logic within the legacy data source, and improves replenishment metric accuracy. Merchandising already completed this transition for Merch One on Tuesday, June 23. Historical data (June 1, 2025 – September 22, 2026) will go through a restatement process. Restatement work will begin on September 24, 2026 and will not be completed until October 8, 2026. Approximately 60 days' worth of data will be restated daily (with no restatement work performed on Fridays and Saturdays). In completing the historical restatement on October 8, we will be eliminating the temporary variance that existed between Scintilla and Merch One from June 23–September 22, 2026. During restatement period, clients should expect fluctuations to the relevant metrics that will be resolved once we finalize on October 8. They should also expect fluctuations due to changes to logic / formulas for the following fields: Instock % - TY/LY, Traited & Valid Store Count, Traited Item count and related velocity metrics. The following columns will be removed in the UI and null in BI Link from the date of release: Carry opt Cd, Carry Opt Status.
Due to an ongoing issue, the availability of data assets is currently delayed. Our team is actively working to resolve the issue and restore access as quickly as possible. We appreciate your patience and understanding.
On September 18, users may experience delays in receiving Store Inventory (catman) data, potentially resulting in an SLA miss. We are aware of the delay and our team is working to resolve it. We apologize for the inconvenience.
Hierarchy changes are now reflected across the Data Access and Collaboration portfolio. If you have any pre-built reports utilizing hierarchy filters, you may need to clear these filters and recreate them with the new hierarchies.
Please submit requests via a support ticket to get historical UPC Sales to reflect hierarchy changes in Shopper Behavior. You can submit a ticket for these August changes beginning on Monday, August 24.
Hierarchy changes are now reflected across the Data Access and Collaboration portfolio. If you have any pre-built reports utilizing hierarchy filters, you may need to clear these filters and recreate them with the new hierarchies.
Please submit requests via a support ticket to get historical UPC Sales to reflect hierarchy changes in Shopper Behavior. You can submit a ticket for these August changes beginning on Monday, August 24.
Hierarchy changes are now reflected across the Data Access and Collaboration portfolio.
Please submit requests via a support ticket to get the updated item hierarchy. You can submit a ticket for these August changes on or after Tuesday, August 11.
We will restate corrected Markup Markdown Board data this weekend. The restated records will flow through incremental updates to both Data Feeds and Cloud Feeds, which may update values previously received. Please ensure downstream processes are prepared to consume these incrementals. We will update this notice when the restatement is complete.
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.
In supply chain and inventory management, access to precise and comprehensive data is essential for efficiency and decision-making. The DC Item Measures table is a critical resource for suppliers, providing key data and quantifiable metrics that track and evaluate the performance and efficiency of inventory movement, stock accuracy, and overall retail operations. By leveraging this data, suppliers may make more informed decisions, refine inventory strategies, and enhance overall supply chain efficiency to meet demand more effectively.
What is the DC Item Measures Table?
The DC Item Measures tables provides suppliers with valuable insights into Walmart’s Distribution Center (DC) operations. It includes data points that help track inventory movement, order fulfillment efficiency, supply chain performance, and other operational factors. This information allows suppliers to assess their product performance across Walmart’s network and make strategic adjustments which may improve efficiency and service levels.
Why Do DC Item Measures Matter?
The DC Item Measures table is valuable for suppliers because it provides visibility into several key operational areas:
Inventory Flow & Stock Levels: Understanding how products move through DCs may enable suppliers to optimize stock replenishment, prevent stockouts, and reduce excess inventory. This may help maintain the right balance between supply and demand.
Order Accuracy & Fulfillment Performance: By tracking fulfillment rates, suppliers can monitor how efficiently their orders are processed, picked, packed, and shipped. Identifying patterns in order accuracy may help reduce errors and improve reliability.
Distribution Center Efficiency: Metrics such as processing time, order cycle times, and inventory turnover rates help suppliers evaluate the efficiency of Walmart’s DCs. This enables them to identify bottlenecks, streamline logistics, which may enhance operational effectiveness.
Supply Chain Optimization: Suppliers can use the DC Item Measures data to analyze supply chain performance, optimize logistics strategies, and improve order lead times. This helps ensure products reach their destinations as efficiently as possible.
Benefits of the DC Item Measures Table
The DC Item Measures data benefits suppliers by providing valuable insight into key operational areas, offering insights that may drive efficiency, improve decision-making, and enhance overall supply chain performance.
Data-Driven Decision-Making: With access to real-time data and performance metrics, suppliers may make strategic decisions regarding inventory management, order fulfillment, and supply chain efficiency.
Improved Responsiveness: Monitoring performance trends allows suppliers to adapt quickly to market demands, ensuring they meet customer needs effectively.
Enhanced Supply Chain Visibility: Suppliers gain a clearer view of how their products perform within Walmart’s DC network, which may enable better coordination and proactive problem-solving.
Example Use Case
The following is an example use case you can use to leverage DC Item Measures.
YOY for an Item for a Specific DC
Show on hand inventory this year for a specific item at a specific DC.
Table Name
Technical Name
Business Name
DC Item Measures
dc_nbr
Distribution Center Number
DC Item Measures
ty_on_hand_whpk_qty
On Hand Warehouse Packs in Inventory - This Year
DC Item Measures
wm_item_nbr
Walmart Item Number
DC Item Measures
wm_yr_wk_nbr
Walmart Year Week Number
Conclusion
The DC Item Measures table provides suppliers with essential data to track and evaluate the performance and efficiency of various retail operations. By leveraging these insights, suppliers may enhance decision-making, improve supply chain responsiveness, and optimize inventory management.
