Picaro.ai Inc. (Yokohama, Kanagawa Prefecture, Representative Director: Tsubasa Shimohira) will launch a special campaign for the first 10 companies only to commemorate the official release of MCP (Model Context Protocol) for the Amazon analysis platform "Picaro.AI".

Picaro.AI MCP is a service that connects the analysis logic of Picaro.AI to AI that you are already using, such as Claude. It enables cross-analysis that integrates data not only from Amazon but also from other marketplaces such as Rakuten and Shopify, starting immediately, without the need for engineers or zero development.

Background: "We have the data, but we can't pass it to AI correctly."

Many brand managers operating multiple marketplaces face the same challenge.

Even when Amazon data is given to AI, it returns irrelevant answers. To analyze data from Amazon, Rakuten, and Shopify comprehensively, engineers are required to connect the APIs of each platform, which incurs costs and takes time.

The problem lies not in the AI's capabilities, but in the quality and structure of the data provided. Picaro.AI MCP solves this.

Value of Picaro.AI MCP

1. Data design that makes AI suggestions less likely to be "off the mark"

Accurate analysis cannot be expected by simply passing raw data to AI. Amazon data has a complex structure, and passing it to AI without context is prone to hallucinations.

Based on logic cultivated through 20 years of Amazon consulting, Picaro.AI MCP provides data that has been pre-organized and structured. Data processed with Picaro.AI's unique data perspectives becomes the basis for AI judgment. The design, which explicitly states "when there is no data, there is none," also prevents AI from creating answers based on ambiguous data.

2. Cross-marketplace analysis, which was not possible before

For brands operating Amazon, Rakuten, and Shopify in parallel, the biggest concern is "not being able to see the overall picture across channels."

Picaro.AI MCP integrates data from multiple marketplaces, allowing for cross-site analysis directly on your everyday AI.

3. Completion from analysis to execution on the same AI

Previously, there was a disconnect: "analysis by AI, execution on the Amazon admin screen." After viewing analysis results, opening a separate screen and manually setting it up – this repetition drained the担当者's time and concentration.

With Picaro.AI MCP, you can analyze data on your everyday AI, receive suggestions for improvement actions, and complete the execution simply by approving them. Even for accounts with a vast number of SKUs/campaigns, AI automatically detects budget depletion or bidding errors. Issues that might have gone unnoticed can be handled by the担当者 without switching screens.

[First 10 Companies Only] MCP Official Release Commemorative Campaign

Benefit: Offered from $80~ (campaign price)

Recruitment: Limited to the first 10 companies

Target: Brands and marketplace operators running Amazon

Application: https://www.picaro.co.jp/picaro-mcp

*This campaign is subject to change or termination without prior notice.

For Companies Like These

Operating Amazon, Rakuten, and Shopify in parallel and wanting to utilize data comprehensively.

Using Claude but struggling with answer accuracy due to incorrectly passing Amazon data.

Tried Amazon Ads MCP but felt the analysis was shallow, only seeing ad data.

Wanting to incorporate Amazon analysis logic into their own AI environment without hiring engineers.

Differences from AI Agents

MCP

AI Agent

Features

Connects Amazon data to your own Claude, ChatGPT, etc.

AI that can be entrusted with everything from analysis to automatic execution.

Target

Companies wanting to integrate into their own AI environment.

Operators wanting to complete tasks on Picaro.AI.

Operation Method

Integrates data into your own AI tool, then analyzes and executes on the spot upon questioning/instruction.

Periodically executes pre-set tasks on Picaro.AI.

Cost Structure

Can start at a low cost.

Covers one person-month of operational staff.

View Details

Representative's Comment

"I have repeatedly witnessed the struggles of brands operating multiple e-commerce marketplaces in making cross-channel decisions. They have the data, but cannot pass it correctly to AI. Even when passed, they receive irrelevant answers. The problem is not with the AI's capabilities, but with the quality and structure of the data.

What we aim for is a world where AI can provide judgment support comprehensively, understanding the context of Rakuten and Shopify in addition to Amazon. Strategies that were fragmented by marketplace will be connected within a single conversation with AI – we will realize this infrastructure with Picaro.AI MCP."

Tsubasa Shimohira, Representative Director, Picaro.ai Inc.

Company Overview

Company Name: Picaro.ai Inc.

Location: 8F, WeWork Ocean Gate Minatomirai, 3-7-1 Minatomirai, Nishi-ku, Yokohama, Kanagawa Prefecture

Representative: Tsubasa Shimohira

Business Activities: Sales expansion support tools and consulting specialized for Amazon

URL: https://www.picaro.co.jp/

Inquiries: [email protected]

Reception Hours: Weekdays 10:00 - 18:00

FACT BOX

  • Source: PR TIMES
  • Category: サービスリリース
  • Organizations: Amazon / Shopify / Picaro.AI