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Demand Forecasting & Inventory Management with AI

1. Application Context

In the retail, distribution, and manufacturing sectors, inventory management is a critical issue that directly affects revenue, operating costs, and customer experience. Businesses need to ensure that products are always available to meet market demand, while also avoiding excess inventory that increases storage costs, reduces capital turnover, and poses risks of slow-moving goods.

In a constantly fluctuating market, where shopping behavior changes seasonally, influenced by promotions and various external factors, relying on experience or manual methods for forecasting is no longer sufficient to support businesses in making quick and accurate decisions.


2. Challenges of businesses

Many businesses still struggle to balance market demand with actual inventory levels:

Inaccurate forecasting

Sales data is fragmented, fluctuating over time and affected by many factors such as seasonality, region, consumer trends, or marketing campaigns, making forecasting with Excel or experience prone to errors.

Stock shortages or excess stock

If stock is ordered below actual demand, businesses risk losing revenue and disrupting customer experience. Conversely, if stock is ordered above demand, high inventory levels will put pressure on storage costs and cash flow.

Slow decision-making

Operations, purchasing, and sales departments often take a long time to compile data from multiple sources before making decisions on ordering, reallocating, or restocking products.

Difficult to optimize inventory by sales point

Each store, area, or distribution channel has a different consumption rate, but businesses often apply the same inventory principles, leading to suboptimal allocation.


3. Solutions from Minh Khang RealTech

Minh Khang RealTech implements the systemDemand Forecasting & Smart Inventory Managementhelps businesses shift from reactive operations to proactive operations, based on data and AI models.

1. Demand forecasting using AI

The system analyzes historical sales data combined with influencing factors such as seasonality, time, region, product group, promotional programs, and consumer trends to forecast demand in each period.

As a result, businesses can more accurately estimate the quantity needed to prepare on a daily, weekly, or monthly basis for each SKU, each store, or each distribution channel.

2. Proposing optimal inventory levels

Based on the forecasting results, the system automatically calculates the appropriate inventory level for each item, helping businesses balance between meeting demand and storage costs.

The solution also helps determine safety stock thresholds, reorder points, and optimal order quantities to minimize stockouts or excess inventory.

3. Early warning of inventory risks

The system continuously monitors operational data to detect early risks such as:

  • Items at risk of running out
  • Products that have been in stock too long, slow-moving
  • Unusual discrepancies between forecasted demand and actual sales
  • Sales points with inventory levels that do not match consumption rates

Thanks to the early warning mechanism, businesses can proactively adjust their purchasing, distribution, or promotional plans to minimize losses.

4. Centralized management dashboard

All data on demand, inventory, sales speed, inventory turnover, and allocation efficiency is visualized on a real-time dashboard. The executive board, supply chain department, and sales team can monitor the situation instantly and make faster decisions.


4. Achievements

After implementing Minh Khang RealTech's solution, businesses can see significant improvements in inventory management operations:

  • Improved accuracy of demand forecasting, making stock replenishment plans more aligned with market reality
  • Reduced stockouts at points of sale, thereby limiting revenue loss due to stock shortages
  • Reduced excess inventory, optimizing storage costs and freeing up capital
  • Increased decision-making speedthanks to data being aggregated and updated automatically
  • Optimized allocation of goods among sales points, in line with actual demand in each area

SolutionDemand Forecasting & Inventory Managementfrom Minh Khang RealTech helps businesses build a more flexible, accurate, and proactive operating model in response to market fluctuations. Instead of relying on intuition or manual reports, businesses can make data-driven decisions, optimize inventory across the system, and enhance sustainable business efficiency.