How It Works
Our process was designed to be simple, objective and adapted to the operational reality of companies managing thousands of SKUs and large volumes of data.
All work can be performed remotely using information already available in the company’s ERP or inventory management system.
1. Data Submission
The company exports basic operational information, usually in spreadsheet format, including:
- sales history,
- current inventory,
- item costs,
- lead times,
- active or inactive product status.
No software installation or ERP modification is required.
2. Processing and Analysis
The data is processed to identify:
- stockout risks,
- excess inventory,
- critical SKUs,
- slow-moving items,
- demand behavior,
- safety stock requirements,
- replenishment improvement opportunities.
The analyses are based on quantitative criteria and the company’s real operational data.
3. Delivery of Analyses
The company receives reports and spreadsheets containing information such as:
- ABC classification,
- demand forecasting,
- safety stock recommendations,
- inventory coverage,
- inventory turnover,
- excess inventory identification,
- purchasing decision support.
The information is organized to support practical operational analysis and decision-making.
4. Periodic Updates
The analyses can be updated periodically, usually on a monthly basis, allowing the company to monitor changes in demand behavior, inventory turnover and replenishment needs.
A Simple Process Focused on Results
Our goal is to transform existing operational data into more useful information to improve product availability, reduce excess working capital tied up in inventory and support better purchasing decisions.
Request an Initial Analysis
Contact us to learn how demand and inventory analysis can help your company reduce stockouts, improve inventory turnover and increase operational efficiency.