Inventory Analytics

Inventory Data Analysis Unlocks the Power of Your Inventory Management

Inventory management is key to any business seeking efficiency and profitability in today’s fiercely competitive business world. An organized inventory system helps companies balance supply with demand while cutting costs and improving customer satisfaction – our inventory data analytics solutions give businesses everything they need to get ahead.

Types of Inventory Data Analytics

Stock-on-Hand Analysis

A stock-on-hand analysis involves assessing the inventory available in a warehouse or store, helping businesses understand current levels and identify any issues before they become more critical.

Provides real-time visibility into stock levels, reducing the likelihood of stockouts or overstocking.

Enhances decision-making by providing data-driven insights for procurement and replenishment.

Allows businesses to respond swiftly to market fluctuations and customer demand.

Facilitate better collaboration among departments for a streamlined supply chain.

Supports efficient allocation of resources by optimizing inventory levels.

Inventory Turnover Analysis

Inventory turnover analysis measures how frequently businesses sell and replace their inventory within a certain period, providing insight into how efficiently their management of this resource is functioning and areas where improvement may be possible.

Enables businesses to easily identify slow-moving or obsolete inventory items, reducing carrying costs.

Brings insight into the effectiveness of inventory management strategies and practices.

Improve cash flow by decreasing excess stock levels while optimizing turnover rate.

Establish benchmarks and industry comparisons to assess performance.

Shrinkage Analysis

Inventory shrinkage analysis examines losses due to theft, damage, or administrative mistakes. Understanding shrinkage rates can assist businesses in devising strategies to limit inventory loss and protect their bottom lines.

Establish the root causes of inventory shrinkage, enabling businesses to take targeted solutions and implement plans to prevent loss.

Support accurate inventory forecasting by accounting for shrinkage during demand planning.

Reduce total loss by recognizing patterns and trends in shrinkage.

Increase profits by minimizing inventory loss and improving accuracy.

Encourage proactive theft prevention measures such as increased security or employee training.

Sell-Through Analysis

A sell-through analysis provides businesses with a metric for measuring how many items have been sold within a certain period and allows them to evaluate sales performance and adjust inventory strategies as necessary.

Provides insight into product performance, enabling businesses to make more informed decisions regarding inventory selection.

Businesses can utilize data-driven pricing strategies to optimize revenue and profits.

Helps identify trends and seasonality in sales for improved inventory planning.

Better allocate resources by identifying high-performing products or categories and low-performing ones for sale or service.

Encourages timely markdowns or promotions of slow-selling inventory.

Lead Time Analysis

A lead time analysis examines the duration a product takes from order placement to delivery. It helps businesses optimize inventory levels and avoid stockouts or overstocking.

Helps enhance customer satisfaction by expeditiously delivering products and promotes effective inventory management by limiting stockouts and overstocks.

Enable businesses to negotiate more favorable terms with suppliers, thus shortening lead times and improving stock availability.

Enhance supply chain efficiency by identifying bottlenecks and opportunities for improvement.

Improve demand forecasting by taking into account lead time variability.