AI in Action: When Is It Time to Move to Advanced AI Solutions in Business
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AI-Driven Demand Forecasting in Business: Lessons from McDonald's Georgia
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SMART Decision HUB
About Demand Forecast
The system simplifies the forecasting process and increases its accuracy. At the same time, it reduces the operational burden on the supply chain team, which allows it to change its focus from operational tasks to strategic ones.
Benefits of using
SMART Demand Forecast
Accurate forecasting of regular and promotional sales will allow you to ensure that your business has the right inventory in time, maximize sales and improve service levels at a low cost.
Increased forecast
accuracy with AI & ML
SMART Demand Forecast is based on machine learning and artificial intelligence algorithms. This will help take into account all the necessary factors that affect forecast accuracy, including your experience with a particular SKU and product group.
Reduced inventory
Powerful analytics and high forecasting accuracy make it possible to ensure the availability of goods at the right time and in the required quantity, without creating an overstock.
Optimization of
availability level
Intelligent algorithms provide high forecast accuracy, which has a direct impact on maintaining a high level of product availability. As a result, you not only increase profits, but also improve the level of service and the reputation of the business as a whole.
Saved labor costs
Optimizing the planning and analytics process in SMART Demand Forecast helps avoid team overload, shifts their focus from operational to strategic tasks, and reduces human error.
Reduced write-offs
High forecasting accuracy helps ensure the optimal level of goods to meet consumer demand, while avoiding the creation of surpluses in the warehouse. This in turn allows you to reduce the number of write-offs.
Prompt business
decision making
Powerful Power BI analytics allows you to quickly make management decisions based on up-to-date data. In SMART Demand Forecast, you can conduct sales retrospectives, analyze the quality of input data, the quality of promo sets and compensated sales.
Artificial intelligence in SMART Demand Forecast
Start your supply chain transformation with SMART Demand Forecast ML & AI algorithms.
Average accuracy 68 ,75%
AI can efficiently process and analyze huge amounts of data, thus revealing dependencies and trends that may not be detected by traditional methods.
The use of such technologies in forecasting directly affects its quality. The precision of forecasts for both regular and promotional sales demand significantly impacts inventory management efficiency, stock availability, service levels, promotional outcomes, and company profitability
SMART business is trusted by
Functions of the SMART Demand Forecast system
Work with Analog Products
Forecasting for new products and stores using analogs helps improve strategy and avoid unnecessary costs associated with launching a new product or expanding the network. AI-driven selection of analogs optimizes costs for manual analysis when data is insufficient, enhancing the quality of forecasting.
Modeling
The quick generation of demand forecasts for regular and promotional sales allows for rapid adaptation to changes in factors affecting demand.
The ability to create scenarios with different promotional conditions enables modeling and comparing potential outcomes to avoid unnecessary costs and adjust the marketing strategy.
Processing Anomalies
AI identifies anomalies in the data and automatically smooths them, helping to use accurate data and adapt models to changing conditions.
In cases where automatic smoothing does not apply, the system provides the option for manual adjustments to minimize risks.
Table View Configuration
as Needed
as Needed
Import/Export of Analog Products
Filtering Analog Products
by Product Levels
by Product Levels
Assigning Product/Store Analogs as Benchmarks
Analysis of the List of Proposed Product/Store Analogs
Starting/Restarting Machine Learning
Selection of the Forecasting Period and Time Aggregation
Import / Export of Forecast Results
Manual Forecast Adjustments
Multi-Model Forecasting for Different Scenarios
Selection of Anomaly Aggregation
Analysis of Identified Anomalies and Smoothing Results
Making Manual Adjustments after Data Smoothing
Formation of the Final Data Set for Forecast Creation and Its Import/Export
Detection of Anomalous Sales
SMART Demand Forecast Analytics
Forecast decomposition
Allows for understanding which factors (seasonality, trends, promotions) have the greatest impact on the forecast, helping to better adapt strategies and timely adjust marketing, logistics, and production plans.
Forecast Quality Analysis
Identifies weaknesses in forecasts, analyzes model errors, and improves their efficiency, minimizing the risks of incorrect purchasing or planning.
Historical Sales Analysis
Identifies trends, seasonality, and key sales drivers that form the foundation for strategic planning.
Data Quality Analysis
Detects gaps or errors in input data, minimizing model errors.
ABC-XYZ Analysis
ABC-XYZ classification allows focusing on the most critical products, minimizing surpluses and shortages, thereby reducing storage costs.
Product Stock Analysis
Reduces operational costs and optimizes the procurement process, avoiding excesses or shortages of products.
How does forecast accuracy affect your business profits?
Calculate how much money your business will receive by increasing the accuracy of forecasting!
0
Sales level
Find out how much you can improve your forecasting accuracy with SMART Demand Forecast
Get a consultationWhy choose SMART Demand Forecast
Comprehensive approach
Possibility of simultaneous forecasting of regular and promo sales.
Data security
The system guarantees GDPR compliance and takes care of the security of your personal data.
Expert team
Interaction with experienced specialists in the implementation of IT solutions, demand forecasting and data management.
Integration with Microsoft
Using a single ecosystem of Microsoft solutions allows you to set up fast and high-quality integrations.
How does SMART Demand Forecast
affect your business?
The system calculates the optimal quantity
of goods to meet demand
of goods to meet demand
Ensuring proper availability in points
of sale
of sale
Prevention of overstock
in the warehouse
in the warehouse
Reducing lost sales
Decrease in funds frozen in stocks
Increasing competition, the constant impact of promotional campaigns on the assortment, changing buying behavior and context, dependence on changing external factors – all this plays an important role in demand forecasting.
SMART Demand Forecast allows not only to take into account all these factors, but also to improve the accuracy of operational, medium-term and long-term forecasts. And the Power BI block built into the interface makes it possible to analyze the results at any time.
See for yourself in the pilot project!
How is forecast system implemented?
Step 1
Pilot project
Drawing up a plan and fixing the goals & KPIs of the project, describing all your business processes, determining the state of your database, organizing secure interaction. Preparation and launch of the model, subsequent analysis of its results.
Step 2
Product testing
Coordination of the test plan and schedule, setting up the integration process and deploying the solution infrastructure. Organizing training sessions for users on the use of the system. Testing the product, analyzing the results and making a decision to launch the system.
Step 3
System launch
Scaling the use of the solution. Support of system functionality
in accordance with emerging requests.
The solution is hosted on platforms
Our goal is your business result
With you every step of the way
We support you at every stage: from proper data structuring to applying algorithms to all SKUs and stores.
Effective ML & AI algorithms
The system is based on ML & AI algorithms that constantly learn from your data and improve the accuracy of forecasting.
Guaranteed data security
We care about ensuring a high level of data security and GDPR compliance.
