Common Questions About Demand Forecasting and Inventory Analysis
This section brings together the most common questions about our data analysis, demand forecasting, and inventory management services. Our goal is to help you clearly understand the solutions we offer and make the most of our tools.
If you need additional information, feel free to reach out through our CONTACT page.
We use advanced algorithms and historical data analysis to identify patterns and forecast future demand. Multiple statistical techniques are combined to deliver objective, consistent, and actionable forecasts.
It helps prevent excess inventory and stockouts, improves operational efficiency, optimizes resources, and increases customer satisfaction by ensuring that the right products are available at the right time.
We work with:
a. sales history from the past 24 months
b. unit cost of each item
c. lead time for each item
d. current stock levels
e. item status (active or inactive)
You will receive five spreadsheets, each designed to support intelligent and comprehensive inventory management:
a) Item‑level indicators
Includes: item number, status (active/inactive), classification by order frequency and revenue relevance, number and percentage of orders, product cost, inventory cost, cost share, turnover, and weeks of coverage.
b) Consolidated class summary
A grouped overview of the indicators above, organized by order frequency and revenue importance.
c) Demand and forecast spreadsheet
Contains: item number, classifications, demand for the past 24 months, and forecasts for the next 12 months.
d) Safety stock spreadsheet
Shows: item number, classifications, and recommended safety stock levels for the next 12 months.
e) Inventory items spreadsheet
For each item in stock at the end of the last month: classification, quantity on hand, unit cost, total inventory value, and percentage of total stock value.
Yes. Your data remains in our systems only during processing. After the five spreadsheets are generated, all information is permanently deleted.
If preferred, you may encode your data or provide only a fraction of the unit cost — the reconversion can be done internally once you receive the spreadsheets.
Inventory analysis evaluates stock levels, movement, and management efficiency. We identify shortages, excess items, low‑turnover products, and optimization opportunities using analytical tools and objective criteria.
It allows you to:
1. reduce costs
2. improve operational efficiency
3. avoid losses from expired or obsolete products
4. ensure availability of key items
5. support strategic purchasing and replenishment decisions
Yes. Our services are designed for integration with ERP systems and other platforms, enabling centralized and real‑time inventory data management.