# Walmart Opens Scintilla AI Dashboard to Third-Party Sellers — 60% Now Use Marty Agent for Inventory Decisions

*Retail giant shares marketplace data and custom alerts with sellers, teaching brands how to compete on shelf velocity using buyer-side intelligence.*

By **Jenny Huang Goodman MPA MSc MHSA, Principal** — The Stash Edge, Hako Shikin LLC.
Published 2026-09-20.

Canonical: https://www.pops4.com/stash/articles/walmart-2026-09-20t21-2
Subject: Walmart
Tags: walmart, marketplace, ai agents, distribution, seller tools, retail data

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Walmart upgraded its Scintilla insights platform in early 2025 to give third-party marketplace sellers access to the same live data and AI tools its own buyers use, according to Digiday. The platform now connects sellers to marketplace performance metrics, customizable dashboards, and a deeper version of Marty, the AI agent Walmart built to guide inventory and pricing decisions. Walmart reports that **60 percent** of sellers who gained access to Marty now use it regularly for restocking and price moves.

The upgrade links seller accounts directly to Walmart's Scintilla data platform, which aggregates purchase behavior, search trends, and category velocity across Walmart.com and physical stores. Sellers configure custom alerts for stock-outs, price gaps against competitors, and search rank changes. Marty, previously limited to buyer-side tasks, now surfaces recommendations for third-party sellers on when to lower price, increase inventory, or adjust product titles based on what Walmart's algorithm rewards. The platform charges no additional fee; access comes with approved marketplace seller status.

This works because Walmart is teaching sellers to behave like its own buyers. The company has long used Scintilla internally to predict which SKUs will spike in a geography, which price points move volume, and where shelf gaps create opportunity. By giving sellers the same signals, Walmart ensures its marketplace inventory mirrors in-house velocity discipline. Sellers who follow Marty's alerts see faster restock cycles and better organic placement. Walmart wins because third-party inventory fills gaps without the capital risk of owned inventory. The mechanism is alignment through transparency — when the seller sees the data, the seller optimizes for the same outcome Walmart wants.

A small physical-product brand sells on Walmart Marketplace today. The founder logs into Scintilla each Monday morning and reviews Marty's alerts. One alert flags a **12 percent** price gap between the brand's hero SKU and a competitor in the same category. The founder drops price by **8 percent** that day, within Marty's recommended range. Three days later, the SKU moves from page two to page one in search results for the primary keyword. Weekly unit sales double. Another alert warns that inventory will deplete in six days based on current velocity. The founder schedules a restock shipment to arrive in five days, avoiding the stock-out that would have cost rank. Cost to the brand: zero additional spend. The move is configuration and response.

The broader pattern is platform intelligence sharing. Walmart is not unique in holding buyer-side data; every major retailer and marketplace has it. Most keep it internal. Walmart's choice to open the pipe to sellers creates a competitive advantage in marketplace fill rate and SKU diversity. A brand negotiating with a regional retail chain today asks the buyer: do you share velocity data with vendors? If the answer is no, the brand knows it is flying blind on restock timing and price positioning. If the answer is yes, the brand knows it can optimize in real time rather than waiting for quarterly reports. The move forward is to demand transparency or to prioritize the channels that already offer it.

## The takeaway

Walmart gave sellers its internal data and AI agent — brands that configure alerts and follow recommendations see faster rank gains and fewer stock-outs.

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## Publisher

**Hako Shikin LLC** — Virginia Beach, Virginia. Founded 1997. ASI 217876 · DUNS 18-204-6339.
Principal and author: **Jenny Huang Goodman MPA MSc MHSA**.

- Author: https://www.huanggoodman.com/about
- LLM context: https://www.pops4.com/stash/llms.txt
- MCP endpoint, for AI agents: https://mcp.pops4.com/mcp
- Client dashboard: https://dashboard.pops4.com/
- Catalogue: 70,000+ products, 200+ brands