The Era of Completing Amazon Ad Strategy Planning to Bidding Execution Through Dialogue is Here - Picaro.AI Officially Releases AI Agent Function

Picaro.ai Inc. (Yokohama, Kanagawa Prefecture, Representative Director: Tsubasa Shimodaira) will officially release its AI agent function on the Amazon account management and advertising analysis platform "Picaro.AI" starting July 2, 2026.

The AI agent, officially released this time, is a chat-based AI equipped with "Picaro Method," an original Amazon advertising analysis logic developed by Picaro.AI. Users can complete the following tasks within the same screen simply by talking to it:

Strategy Planning & Campaign Creation: Proposes strategies based on seasonal demand and past performance.

Bid and Budget Optimization: Automatically generates actions to improve CPC and ACoS.

Keyword Traffic Management: Organizes duplicate and competing keywords and proposes optimizations.

Reporting Automation: Automatically creates weekly and monthly summaries for internal and external use.

All execution is performed after human approval, eliminating the risk of "AI acting on its own" while simultaneously achieving faster Amazon ad operations and resolving knowledge silos.

Left: SaaS screen; Right: AI agent

Background

Amazon advertising operations require specialized knowledge and continuous decision-making. Reviewing data, analyzing it, moving to the management screen, and making manual settings—this repetitive process creates limitations in the management capacity per person.

The know-how for measures resides within the担当者 (person in charge), and it takes time for handover and training. "I know what needs to be done, but I don't have the bandwidth." This AI agent was developed in response to such voices from the field.

In traditional operations, it often takes several days to aggregate and analyze the previous week's data and make decisions. With Picaro.AI, the latest data is automatically processed and visualized daily. Since measures can be taken on the day they are noticed, this creates a difference of two days per week, or 100 days per year, in actions taken. This accumulation promotes a departure from person-dependent operations and a transformation into an organization that makes decisions based on data.

The AI agent of Picaro.AI is designed to improve the accuracy of dialogue by first sharing the brand's strategy, goals, and product characteristics with the AI. The more it is used, the more it grows into a dedicated AI agent for the company, realizing more accurate proposals and execution.

For Such Situations

Operation Agencies & Consulting Firms: Want to increase the number of accounts managed per person.

In-house EC Advertising Teams: Want to share and replicate knowledge that has become person-dependent within the team.

Amazon Advertising Managers: Want to reduce the workload from analysis to execution and increase time for strategy.

What Changes: Completing Up to "Execution" Through Dialogue

Traditional Picaro.AI was a tool for "viewing" data. All operations after confirming analysis results had to be performed manually by humans.

With the AI agent version, "analysis → proposal → approval → execution" is completed within a chat on the same screen.

1 Talk via Chat

"Show me the campaigns where ACoS was high last week."

2 AI Analyzes and Proposes

"Budget overruns occurred in 3 campaigns. I propose lowering bids by an average of 12%."

3 Approve and Execute

→ Reflected on the Ad Console in Amazon Seller Central.

Structurally, the AI cannot arbitrarily change advertising settings. All write operations require human approval.

Point 1 | Automatically Checked with a Professional Perspective Using Picaro Method

The truly difficult part of Amazon advertising operations is "what to prioritize in decision-making." Should campaigns with high ACoS be stopped, or should advertising be maintained to digest inventory? Such decisions vary depending on the担当者's experience and the context of the day.

The AI agent of Picaro.AI evaluates six perspectives simultaneously based on "Picaro Method," a unique framework built from 20 years of Amazon consulting experience, not just ACoS alone.

Advertising Cost of Sales (ACoS): Continuously monitors the basic metric of cost-effectiveness.

Budget Pacing: Tracks budget consumption pace within the month and week, detecting overspending or underspending early.

ASIN Lifecycle: Optimizes advertising strategy according to the product's growth phase.

Competitor Trends: Detects changes in competitor bids and share, presenting opportunities and threats.

Profit Risk: Assesses whether advertising costs are pressuring profits, based on gross profit.

Counter-Hypothesis: Verifies "Is this decision truly correct?" from an alternative angle.

These are automatically checked every morning, and "tasks to address today" are presented as cards in the command center. The AI captures even aspects that might be overlooked by experienced担当者. Furthermore, it supports portfolio-level budget design, optimization of naming rules, and creation of standard reports such as monthly reports.

Point 2 | Full Access to Picaro.AI's Professional Operation Knowledge for AI via RAG

Years of practical experience and accumulated knowledge are indispensable for Amazon advertising operations. "This category should have its budget reduced before Prime Day," "For this ASIN, prioritize profit margin over ACoS." Such decision-making criteria held by professional consultants could only be conveyed from person to person until now.

In this release, Picaro.AI has fully opened its operational knowledge accumulated over 20 years of Amazon operation consulting to the AI agent through RAG (Retrieval-Augmented Generation) technology. In addition to knowledge reference within the chat, information retrieval and AI summarization from the search screen are also possible, allowing the AI agent to propose using the operational expertise of professional consultants as is.

"Why is this bid adjustment necessary?" "How should this campaign structure be optimized?" When a担当者 asks via chat, they receive well-founded answers backed by Picaro.AI's knowledge base. Additionally, advanced context management is possible through the memory function, and unnecessary memories can be organized at any time through deletion, archiving, or editing, enabling continuous optimization of AI accuracy.

Point 3 | AI Accumulates Brand Rules with Account Profiles

Picaro.AI's AI agent has an account profile function that allows for centralized management of operational indicators for the entire account (sales targets, advertising budget, TACoS, CPA limits, LTV targets, etc.). Once set, the AI analyzes and proposes within that context.

What is noteworthy is the depth of its learning. It not only remembers brand-specific strategies and product characteristics but also accumulates the results of past big sales and the success or failure of measures. "Propose a sale when inventory falls below a certain level," "Recommend budget allocation based on the trends of the previous Prime Day." It proposes the next measures based on past trends.

Furthermore, it is equipped with a learning mechanism that re-presents proposals that were once rejected from a different angle or at a different time, rather than simply withdrawing them. Information obtained through chat is reflected in periodic tasks, and the AI flexibly executes campaign updates, edits, and creations via the Amazon Seller Central Ad Console. Memories can be organized at any time through "delete," "archive," and "edit," allowing for continuous optimization of AI accuracy.

User Voices

"With an account managed solely by Picaro.AI, we were able to significantly increase sales without increasing advertising spend. It wasn't that the AI did something extraordinary. As a result of the AI's analysis, previously overlooked areas for improvement came to light, and simply saying 'please' on the spot led to action. The biggest change is that we can now make decisions about the next steps based on data, rather than relying on the担当者's intuition."

— Advertising Operations Manager, Electronics Manufacturer

"When we shared the Picaro.AI agent results with clients who were advancing their in-house operations, we discovered budget-expired campaigns that we hadn't noticed before due to too many SKUs. Even with accounts managed for many years, human eyes can miss things. We received thanks from clients for the AI catching these."

— Representative, EC Operation Agency

Representative's Comment

"The AI agent of Picaro.AI aims to be a truly autonomous AI agent. By sharing goals, strategies, and brand philosophy, the AI will autonomously work towards achieving goals—we aim to realize that world in Amazon operations. Autonomous operation has already been achieved in DSP and Prime Video advertising, and deployment across entire accounts is steadily progressing."

— Tsubasa Shimodaira, Representative Director, Picaro.ai Inc.

Future Outlook

Picaro.ai promotes a collaborative model where users operating their own brands and Picaro.ai jointly nurture the AI agent. We aim for a world where an AI agent with specialized knowledge in Amazon advertising operations functions as an immediate asset without adding new personnel to the team.

See Details

Company Overview

Company Name: Picaro.ai Inc.

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

Representative: Tsubasa Shimodaira

Business Activities: Amazon-specific sales expansion support tools and consulting

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

Inquiries: picaro.ai.pr@picaro.co.jp

Reception Hours: Weekdays 9:00 AM - 6:00 PM