AI-controlled balances with intelligent forecasting
The system predicts which products will soon run out and which ones need to be ordered. AI analyzes sales and inventory, suggesting: "These shoe sizes are selling out the fastest, so you should order more." This prevents the loss of sales due to the lack of popular items and optimizes working capital.
Inefficient inventory management leads to serious financial losses. According to research, retail and e-commerce companies lose up to 12% of potential profits due to the lack of the right products and up to 25% of working capital due to excess unpopular items. At the same time, traditional methods of inventory forecasting often do not take into account seasonality, trends, and specifics of demand for different sizes, colors, and models, which leads to erroneous purchasing decisions.
Our AI Inventory Control service implements an intelligent system that analyzes sales history, current inventory, market trends, and seasonal factors to accurately predict future needs. The system not only predicts which products will soon run out, but also generates specific recommendations on the optimal quantity and assortment to replenish the warehouse.
The solution is based on advanced tools:
- Time Series ML - specialized machine learning algorithms for analyzing time series and identifying patterns in sales
- Prophet - a technology developed by Facebook for high-precision forecasting with seasonality and trends
- GPT-4 - an advanced language model for generating understandable recommendations and providing contextual explanations for forecasts
How the system works:
- Integration with your inventory management system and sales history
- Analysis of sales data in terms of products, their characteristics (sizes, colors, models), seasons, days of the week, and promotions
- Identification of consumer demand patterns and calculation of the optimal stock level for each item
- Generate automatic notifications about items that need replenishment
- Providing specific recommendations on the volume of purchases, taking into account delivery times and minimizing costs
The system works with both aggregated product categories and individual SKUs, taking into account their unique sales characteristics. The algorithms are self-learning, constantly improving the accuracy of forecasts based on new data and the actual outcome of previous forecasts.
The service is ideal for:
- Online stores with a wide range of products
- Retail chains with several points of sale
- Manufacturers with their own distribution
- Wholesale companies and distributors
- Businesses with seasonal demand or rapidly changing trends
Key benefits of AI forecasting and inventory management
The implementation of intelligent inventory control provides your business with a significant competitive advantage:
Reducing losses from the lack of goods (out-of-stock). The system predicts the risks of running out of popular items in advance, allowing timely replenishment of stocks. According to our customers, this reduces losses from the lack of goods by 70-85%, which directly affects sales growth.
Optimization of working capital. AI algorithms calculate the optimal inventory level for each item, preventing both overstocks and shortages. This allows you to reduce the amount of funds "frozen" in inventory by 20-30% without risking the availability of goods.
Taking into account the specifics of different products. The system distinguishes sales patterns for different product characteristics. For example, it can detect that specific sizes of certain models in the shoe category are selling out the fastest, and generate appropriate procurement recommendations.
Adaptation to seasonality and trends. The algorithms automatically take into account seasonal fluctuations in demand, holiday periods, marketing campaigns, and changes in trends that affect sales. This is especially valuable for fashion retail, seasonal goods, and products with a short life cycle.
Automation of routine processes. The system fully automates the process of monitoring inventory and placing orders to suppliers, freeing up managers' time for strategic tasks. We estimate that this saves 15-20 hours of working time per week for an average online store.
Analytics and justification. Unlike a "black box", our system provides clear explanations for each forecast and recommendation, allowing managers to understand the logic of AI and make more informed decisions.
Improved planning accuracy. The system takes into account not only historical data, but also external factors (market trends, seasonality, marketing activities), which ensures the accuracy of forecasts at the level of 92-95% even for goods with unstable demand.
Why choose digiants.agency to implement AI stock control
The digiants.agency team combines technical expertise in AI and data analysis with a deep understanding of the specifics of retail business and e-commerce. Our approach to the implementation of AI stock control is characterized by the following advantages:
Individual customization for your business. We don't use universal algorithms. The system learns from your data and takes into account the unique features of your business: assortment, seasonality, target audience, logistics, and other factors that affect inventory management.
Deep integration with your systems. Our solution seamlessly integrates with your ERP, CRM, WMS, or other management systems via APIs, ensuring automatic data exchange and up-to-date forecasts.
Combined AI + expertise approach. We combine the power of machine learning with expert knowledge of inventory management. Our specialists regularly analyze the accuracy of forecasts and improve algorithms based on the specifics of your industry.
Phased implementation and training. We do not just install the system, but ensure its gradual adaptation to your business. Initially, the system works in the recommendation mode, which allows you to check the quality of forecasts, and after confirming the accuracy, you can fully automate processes.
Proven efficiency. Our customers record a 22-35% reduction in the amount of capital frozen in inventory and a 15-25% increase in sales due to the absence of out-of-stock in the first 3-6 months of using the system. The average project payback period is 4-8 months.
Ready to optimize your inventory management and increase your business efficiency? Contact us for a free audit of your inventory management system and a demonstration of AI inventory control capabilities on your real data.
