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OptimiX Pricing Analytics - XPA
AI Modeling and Forecasting
Our pricing forecasting and modeling module offers advanced features to analyze historical data in real time, and allows you to create forecasting models based on this data.
Trends and Patterns Analysis
The pricing forecasting and modeling module allows you to analyze trends and patterns in historical data, whether sales, prices, promotions, etc. It therefore allows detect seasonal variations, product launch effects. But also special events and other factors that may influence sales performance.
Demand Forecasting
Using historical data and forecast models, the module helps estimate future demand for different products or product categories. This helps you anticipate fluctuations in demand and adjust their stock levels. But also to make informed pricing decisions to maximize their sales.
Automatic selection of the best statistical model
The pricing forecasting and modeling module automatically identifies the best statistical model to apply based on your data. Additionally, the module takes into account criteria such as history duration (generally 3 years are required for optimal accuracy), seasonality detection and trend detection. This therefore ensures that the selected model is the most suitable for forecasting future sales.
8 implemented statistical models
The sales forecasting module offers a range of 8 predefined statistical models. These models encompass various techniques, including linear regression, time series analysis, Holt-Winters method, ARIMA models, and more. Each model has its own advantages and adaptability to different types of data. Therefore, users can choose the model that best aligns with their specific requirements.
Application of the optimal model for product-store analysis
Once the optimal statistical model has been identified, the module applies it to the product-store concerned. It takes into account the specific characteristics of each product and each store to obtain accurate forecasts. This makes it possible to adjust forecasts and pricing modeling according to the specificities of each context and to improve the relevance of the results.
Other parameters may include adjustments for seasonality, trends, seasonal variations, etc. This feature makes it possible to customize forecasts according to the unique characteristics of each product-store, improving forecasting accuracy.
Simulation of pricing scenarios
Simulate different pricing scenarios using forecast models and test the impact of different pricing strategies on your sales. But also on your profit margins and your competitive positioning. This enables you to make informed pricing decisions and optimize profitability.
Identification of opportunities and risks
Thanks to data analysis and forecasts, the pricing modeling and forecasting module makes it possible to identify potential opportunities and risks linked to the pricing strategy. It can highlight products or product categories with high growth potential. As well as those that might require price adjustments to improve their performance.
AI-based models
Our solution offers models based on artificial intelligence to improve the accuracy of your pricing decisions. Additionally, these models use advanced algorithms to analyze historical data in real time, identifying patterns and trends that can influence optimal pricing.
Configuration accessible to Data Analysts
We offerintuitive setup allowing Data Analysts to customize models based on the specific needs of your business and market. Adjust parameters, constraints and variables to create forecasting and pricing models tailored to your business strategy.
Iterative simulation and version traceability
So test different combinations of parameters and analyze the results to make informed decisions. Our version tracking system allows you to keep track of all changes made to pricing models.
Price elasticity measurement and sales forecasting
Our solution includes built-in models to measure the price elasticity of demand, helping you to understand how price variations can influence sales volumes.
In addition, our forecasting system allows us to estimate future sales volumes based on planned prices.
- Consideration of all price variations and adjusted sales
- Normalization
- Development of linear regression models
- Determination of Elasticity Coefficients
- Management of new items and store openings
- Management of replaced/replacement products
- Reliability measurement (RMSE)
Analysis and prevention of cannibalization
We offer forecasting and pricing modeling models that analyze and prevent cannibalization between different types of brands.
So optimize your product assortment by avoiding pricing conflicts that could reduce your profit margins.
Automatic price determination
Our pricing forecasting and modeling solution uses constrained reasoning models to automatically determine optimal prices while taking into account various requirements such as target margins, profitability objectives and competitive constraints.
Estimation of the number of price ranking
Additionally, we provide models that estimate the optimal number of tariff ranks needed for each product category.
This allows you to effectively adjust your pricing strategy according to the specific characteristics of each category.
Price change
Finally, our solution uses optimization models to determine the optimal number of price changes.
This therefore helps you avoid excessive price changes, while allowing you to optimize your margins and competitiveness.
Testimonials
« Optimix XPA is a very interesting tool. It has already allowed me to identify and correct pricing anomalies shortly after taking over my new store in Nice. I have just discovered that I can automate the generation of my analysis projects. I can't wait to use it for my other local stores. »
« Optimix is a highly effective pricing tool that enables us to adapt our pricing to our competitive context and margin objectives. Optimix offers the option to work at the item, category, or even based on national top sales, either individually or simultaneously, as well as on private label products, national brands, and regional products. »
« The Optimix Pricing XPA solution enables us to track the daily fluctuations in internal purchase prices as well as our competitors' selling prices so we can swiftly adapt our pricing strategy to ensure we achieve our desired margin or gain a competitive edge in the market. »
*6 months after deployment in 45 stores.
They trust us
Modélisations et prévisions
FAQ 1 : Quels sont les modèles statistiques et les algorithmes d’IA que vous intégrez à vos solutions ?
Nos modèles statistiques de prévisions des ventes se basent principalement sur la méthode du “Best fit”, qui viendra sélectionner le modèle le plus pertinent pour calculer les ventes futures de vos produits.
Pour aller plus loin, nous avons renforcé nos algorithmes d’IA en utilisant des réseaux de neurones, afin de générer des calculs d’élasticité prix et de cannibalisation, se basant sur de nombreux facteurs exogènes.
FAQ 2: Qu'est-ce qui distingue votre module de prévision et modélisation pricing des autres solutions sur le marché ?
Notre module de prévision et modélisation pricing XPA est spécifiquement conçu pour le secteur du retail. Il intègre des fonctionnalités avancées qui analysent les données historiques en temps réel et utilise ces données pour créer des modèles prévisionnels.
Grâce à l’IA, notre solution sélectionne automatiquement le meilleur modèle statistique en fonction de vos données, garantissant ainsi une précision optimale. De plus, nous proposons une gamme de 8 modèles statistiques prédéfinis, permettant aux retailers d’opter pour le modèle le plus adapté à leurs besoins.
L’analyse des tendances, la simulation de scénarios de pricing, et la prévention de la cannibalisation sont quelques-unes des nombreuses caractéristiques qui rendent notre solution unique.
FAQ 3 : Quelle est la source des données historiques utilisée par XPA pour la modélisation et la prévision ?
XPA utilise les données historiques fournies par les retailers. Ces données peuvent inclure des informations sur les ventes, les prix, les promotions et d’autres variables pertinentes.
L’analyse en temps réel de ces données permet à XPA de créer des modèles prévisionnels basés sur les tendances et schémas historiques. Il est crucial pour les retailers de fournir des données complètes et précises pour garantir l’efficacité des prévisions.
FAQ 4: Comment ce module XPA se compare-t-il à d'autres outils de prévision sur le marché ?
XPA se distingue par sa capacité à sélectionner automatiquement le modèle statistique le plus approprié en fonction des données fournies. Avec une gamme de 8 modèles statistiques prédéfinis, le module est conçu pour s’adapter aux différents types de données.
De plus, XPA utilise l’intelligence artificielle pour améliorer la précision des décisions de pricing, offrant ainsi une adaptabilité et une précision supérieures par rapport à d’autres outils.
FAQ 5: Comment XPA aide-t-il à prévenir la cannibalisation entre les produits ?
XPA propose des modèles de prévision et de modélisation de pricing qui analysent et préviennent activement la cannibalisation entre différentes marques ou produits.
En identifiant les conflits de prix potentiels qui pourraient réduire vos marges bénéficiaires, XPA vous permet d’optimiser votre assortiment de produits et d’éviter les problèmes de concurrence interne.