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.
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.
eComm Inventory refers to the data related to the stock of products available for sale through Walmart's eCommerce platform. This data encompasses various metrics that offer insights into inventory levels at different stages of the fulfillment process, including Fulfillment Centers (FCs).
Why Does eComm Inventory Matter?
Understanding eComm Inventory can play a key role in maintaining a responsive and efficient supply chain. The data supports important business goals across fulfillment, cost control, and customer satisfaction.
Demand Fulfillment: May help ensure products are available to meet customer demand, reducing the risk of stockouts
Operational Efficiency: Can support supply chain optimization, reducing delays and improving delivery times
Cost Management: May help avoid overstocking, reducing tied-up capital and storage costs
Customer Satisfaction: Visibility into product availability can improve customer experience and loyalty
Benefits of eComm Inventory Data to Suppliers
Access to this data provides suppliers with actionable insights that can enhance decision-making across multiple touchpoints.
Enhanced Forecasting
Historical sales data and trends can support more accurate demand forecasting, helping suppliers plan production and inventory.
Improved Visibility
By gaining visibility into omni-inventory, suppliers can:
Achieve a holistic view of product availability across channels
Balance inventory levels more effectively
Anticipate shifts in consumer behavior
Integrate online and offline inventory data
Improve overall supply chain efficiency
Improved Collaboration
Sharing inventory data can improve communication and coordination between suppliers and Walmart, strengthening supply chain alignment.
Examples and Use Cases
Stock Allocation
Suppliers can use eComm Inventory data to optimize stock distribution across Fulfillment Centers. For example, locations with higher demand may be prioritized for restocking.
Relevant Fields
Table Name
Technical Name
Business Name
eComm Inventory
catlg_item_id
Catalog Item ID / eComm Prod ID
eComm Inventory
trbl_qty
Trouble Quantity
eComm Inventory
on_hand_rtl_amt
On Hand Retail Amount
eComm Inventory
on_hand_unit_qty
On Hand Unit Quantity
eComm Inventory
hld_qty
Hold Quantity
eComm Inventory
rpt_dt
Report Date
Omni Sales
wm_item_nbr
Walmart Item Number
Omni Sales
auth_based_net_sales_amt
AUTH Based Net Sales Amount
Omni Sales
auth_based_qty
AUTH Based Item Quantity
Omni Sales
shpd_based_net_sales_amt
Shipped Based Net Sales Amount
Omni Sales
aur
Average Unit Retail Amount
Omni Sales
cost_sales
Cost Sales
Product Performance Analysis
Inventory turnover and sales data can help assess product performance. For example, consistently underperforming products may require improvement or discontinuation.
Relevant Fields
Table Name
Technical Name
Business Name
eComm Inventory
catlg_item_id
Catalog Item ID / eComm Prod ID
eComm Inventory
trbl_qty
Trouble Quantity
eComm Inventory
on_hand_rtl_amt
On Hand Retail Amount
eComm Inventory
on_hand_unit_qty
On Hand Unit Quantity
eComm Inventory
hld_qty
Hold Quantity
eComm Inventory
rpt_dt
Report Date
Omni Sales
wm_item_nbr
Walmart Item Number
Omni Sales
auth_based_net_sales_amt
AUTH Based Net Sales Amount
Omni Sales
auth_based_qty
AUTH Based Item Quantity
Omni Sales
shpd_based_net_sales_amt
Shipped Based Net Sales Amount
Omni Sales
aur
Average Unit Retail Amount
Omni Sales
cost_sales
Cost Sales
Omni Sales
prod_margin
Product Margin
Supply Chain Adjustments
These insights allow suppliers to respond proactively to disruptions. For example, production delays can be managed through better communication and contingency planning.
Relevant Fields
Table Name
Technical Name
Business Name
eComm Inventory
rip_qty
Receipts In Progress Quantity
eComm Inventory
wip_qty
Work In Progress Quantity
eComm Inventory
on_hand_rtl_amt
On Hand Retail Amount
eComm Inventory
on_hand_unit_qty
On Hand Unit Quantity
eComm Inventory
rpt_dt
Report Date
Omni Sales
wm_item_nbr
Walmart Item Number
Omni Sales
catlg_item_id
Catalog Item ID / eComm Prod ID
Omni Sales
geo_region_cd
Geographic Region Code
Omni Sales
op_cmpny_cd
Operational Company Code
Omni Sales
order_chnl_nm
Order Channel Name
Omni Sales
shpd_based_net_sales_amt
Shipped Based Net Sales Amount
Omni Sales
cntra_cost
Contract Cost
Omni Sales
bus_dt
Business Date
Conclusion
eComm Inventory data is a valuable resource for suppliers, offering insights that enhance:
Inventory management
Forecasting accuracy
Supply chain decision-making
By leveraging this data, suppliers can:
Better meet customer demand
Manage operational costs
Strengthen collaboration with Walmart
Ultimately, eComm Inventory data helps create a more complete view of the inventory pipeline, enabling more informed and effective business decisions.
