Major Amazon Update For Sellers
š Amazonās Big Fulfillment Shift Explained, and AI-Powered Spreadsheet Insights

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š«The End of Commingled Inventory
A major shift has just hit the eCommerce world, Amazon has officially announced the end of its commingled inventory system, a long-debated practice thatās caused years of brand control headaches. This change marks a new era for sellers focused on authenticity, quality control, and customer trust.
What Was the Commingled Inventory?
Previously, Amazon grouped identical items from multiple sellers into a shared bin. When a customer placed an order, the platform shipped the closest available item, regardless of which seller supplied it. While this optimised logistics and speed, it blurred the lines of accountability; authentic products often got mixed with counterfeits or expired stock.
Why Amazon Is Ending It
1ļøā£ Improved Logistics Infrastructure:
Amazonās fulfilment network has become more sophisticated, enabling it to manage individual seller inventories more efficiently.
2ļøā£ Rise of Brand Ownership:
Most sellers today are actual brand owners rather than resellers. This means product integrity and traceability are now central to Amazonās business strategy.
What This Means for Sellers
Stronger Brand Protection:
No more counterfeit or unauthorized products shipped under your brandās name.
Enhanced Traceability:
Full visibility into your inventory and the ability to trace issues back to specific batches.
Reduced Liability:
Avoid bad reviews or account suspensions triggered by another sellerās faulty products.
The Takeaway
This update is a major win for brand integrity and customer confidence. Sellers who embrace better stock tracking, authentic supply chains, and fulfilment transparency will benefit the most. As the eCommerce landscape evolves, this move reinforces one thing: brand trust is the new currency, and Amazon just made it easier to earn.
šGet Instant Business Insights from Spreadsheets
Managing business data in spreadsheets can often feel like wading through endless rows, formulas, and filters. But with the right AI setup, your Google Sheets can become a conversational analytics dashboard, no coding or manual calculations required. Using CData Connect AI with Claude Desktop, you can turn raw data into real-time insights through natural language queries.

Steps to Build Your AIPowered Data System
1ļøā£ Connect Google Sheets to CData:
Start by visiting the CData Connect AI platform and creating a free account. Once logged in, go to the dashboard, click Add Connection, and choose Google Sheets. Authenticate with your Google account, then click Save & Test to confirm that your data is linked securely.
2ļøā£ Enable AI Access via Claude:
In Claude Desktop, add the CData MCP server by entering the URL:https://mcp.cloud.cdata.com/mcpAuthenticate using your CData credentials to connect your data directly to Claudeās interface.
3ļøā£ Query Your Data in Natural Language:
Skip formulas entirely. Type queries like:
āUse CData to analyse the Demo Invoice Data sheet and show all unpaid invoices with company names and amounts, then calculate total outstanding.ā Claude retrieves and summarises results instantly, making data exploration conversational and dynamic.
4ļøā£ Expand Data Sources for Deeper Insight:
For richer analytics, connect additional tools like HubSpot or Salesforce. This integration allows you to analyse customer payment trends alongside CRM activity, all in one AIdriven workspace.
The Takeaway:
This workflow transforms static spreadsheets into a living intelligence system. By combining CDataās data connectivity with Claudeās conversational AI, you gain the power to explore, calculate, and visualise insights instantly. No more formulas. No more manual cleanup. Just actionable answers in seconds.
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