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First Allocation Product Planner

First Allocation Product Planner

AI-powered allocation engine that distributes new products to stores based on historical sales and product similarity, improving sell-through and reducing overstock

Details
TOOLS / INTEGRATIONS
Shopify
Snowflake
BigQuery
SAP
PARTNERS
GWC DATA.AI
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First Allocation Product Planner

Benefits

First Allocation AI recommends optimal storewise distribution of new retail products by analyzing historical sales of similar items and matching product attributes within a specific location. It ensures inventory alignment with real demand patterns.

Problem Addressed

Retail teams often struggle with allocating new product inventory fairly and efficiently across stores. Traditional allocation ignores store-level sales trends, leading to understocking in high-demand locations and overstocking in low performers resulting in revenue loss, markdowns, and excess inventory.

What the Agent Does

First Allocation AI uses historical data to recommend how many units of a new product should go to each store within a selected location. It filters similar historical products, computes store-level demand based on multi-attribute similarity and past sales, and produces a proportional allocation plan complete with justification and human approval trigger.

Standout Features

• Intelligent matching of new products with historical counterparts
• Weighted similarity scoring across 8+ product attributes
• Store-level demand estimation using 3-week rolling sales average
• Auto-allocation based on demand signals and price or rating based tuning
• Built-in business logic avoids over-allocation beyond past capacity
• Supports manager override via Approval Queue Trigger

Business Automation
Classification
App Studio
Magic ETL
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Agent Catalyst