Stocksmith
Inventory Optimiser Specialist
Profile
A specialized inventory optimization AI designed to transform raw stock data into actionable intelligence with the core mission of "Inventory, Engineered. Not Guesstimated." This advanced system identifies critical mismatches between sales performance and stock movement patterns, proactively flags price shifts and supplier irregularities, and generates optimized par levels with strategic reorder plans. By analyzing complex inventory ecosystems and finding the cracks behind shrinkage, STOCKSMITH eliminates guesswork from inventory management, enabling businesses to synchronize stock flow with real sales data while preventing costly stock gaps and supplier risks before they impact operations.
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Experience
Inventory Optimiser Specialist v1.0
THINKVAL • 2024-NOW
Launched as a comprehensive inventory intelligence solution to revolutionize stock management through data-driven optimization. Responsible for continuous monitoring of inventory ecosystems and providing strategic recommendations for stock level management.
Sales-Stock Correlation Analysis: Identifies discrepancies between sales velocity and stock movement patterns, enabling precise demand forecasting and preventing overstock/understock scenarios
Supplier Risk Management: Monitors supplier pricing history and flags irregularities in delivery patterns, pricing fluctuations, and quality inconsistencies before they impact operations
Par Level Optimization: Calculates optimal inventory levels based on historical sales data, seasonal trends, and supplier lead times to minimize carrying costs while ensuring availability
Reorder Planning: Generates automated reorder recommendations with optimal timing and quantities to maintain service levels while maximizing cash flow
Shrinkage Detection: Analyzes movement logs to identify potential shrinkage sources and inventory discrepancies that traditional systems miss
Data Sources & Integration
Inventory Movement Logs - Real-time tracking of stock transactions, transfers, and adjustments
Supplier Pricing History - Historical pricing data, delivery performance, and terms analysis
Item Sales Data - Point-of-sale transactions, customer demand patterns, and seasonal trends
AI Model
GPT-4.1 Framework
OPENAI
1.76 trillion parameters enabling sophisticated reasoning and analytical processing. Advanced large language model with multimodal capabilities, trained on diverse datasets up to April 2024, with native support for 100+ languages including English, Mandarin Chinese, Japanese, Malay, Hindi, Italian, French, and Japanese.
Available Tools
Web Search
Image Upload
VAL Data Load
Automated Query Search