Nous accompagnons des organisations innovantes depuis 2015.
Contexte
Customer data is rich, but the full picture never comes together
Point-of-sale systems, e-commerce platforms, loyalty programs, and marketing tools each capture a piece of customer behavior. Without a unified data layer, personalizing at scale is impossible, and the signals that predict churn, upsell potential, or shifting demand get lost between systems.
Inventory and demand planning still leave money on the table
Overstocking ties up cash. Understocking loses sales. Most retail and CPG organizations still plan on historical averages and buyer intuition, without AI models that factor in seasonality, promotions, supplier lead times, and real-time demand signals. The cost of getting it wrong compounds at scale.
Promotional and trade spending is optimized by gut feel
Retail and consumer goods companies invest heavily in promotions, trade spend, and marketing campaigns. Yet most struggle to measure what actually drives incremental sales versus what would have happened anyway. Without AI-driven attribution and scenario modeling, budgets get allocated to what feels right, not what works.
Solutions
Unified customer intelligence and AI-powered personalization
We connect your customer data sources into a single, reliable view, then build AI models that identify segments, predict behavior, and surface next-best-action recommendations. Whether the goal is reducing churn, increasing basket size, or improving loyalty program performance, we build the models that make it possible.
Demand forecasting and inventory optimization
We develop machine learning models that factor in your sales history, promotional calendar, market signals, and external variables to forecast demand with greater accuracy. The result is leaner inventory, fewer stockouts, and planning teams that spend less time correcting forecasts and more time acting on them.
Promotion analytics and trade spend optimization
We build the AI models and reporting frameworks that let you measure the true incremental impact of your promotions and trade investments. Understand what drives real sales lift, identify which mechanics work by segment or channel, and reallocate budgets with confidence rather than convention.
Notre valeur ajoutée
Six domaines d'expertise.
Un objectif : créer un impact mesurable.
De la stratégie à l'exécution, Agilytic couvre l'ensemble du spectre data & IA. Plus besoin de jongler entre différents partenaires à chaque étape.
Notre méthode de travail
1. Analyse de vos objectifs business
Nous ne partons pas des données ou de la technologie. Nous partons de ce que vous cherchez à accomplir (réduire le churn, accélérer les décisions, mieux tarifer le risque...) et nous travaillons à rebours à partir de là.
2. Évaluation de votre situation
Nous vous disons ce qui est réellement exploitable, ce qui doit être corrigé, et ce que vous pouvez réalistement accomplir en 3, 6 et 12 mois. Sans promesses exagérées.
3. Construction de votre vision
Notre équipe mêle rigueur technique et pragmatisme business. Nous construisons des solutions que vos équipes adopteront et utiliseront pour de vrai.
Cas clients
Quelques success stories
Analytics chatbot development on Databricks to reduce data team dependency
How Agilytic developed an analytics chatbot on Databricks for a self-storage provider
Power BI reporting reengineering for faster, trusted insights
How Agilytic helped a major food company improve its Power BI reporting through reengineering.
Moderniser le socle de données d’un acteur mondial du CPG
Agilytic modernise le reporting d'un leader CPG avec Snowflake : delivery accéléré de 30%, données fiabilisées et architecture prête pour l'IA.
Si vous voulez atteindre vos objectifs grâce à une utilisation plus intelligente de la data et de l'I.A., vous êtes au bon endroit.