LEAFIO AI provides retail automation software that optimizes inventory management, assortment performance, shelf efficiency, and customer loyalty through AI-driven solutions. The service is described as self-described as a provider of cutting-edge technology for operational excellence in retail.

LEAFIO AI

Software Development

Leafio IA Soluções automatizadas de varejo - Brasil

LEAFIO IA Soluciones automatizadas para retail

LEAFIO AI Retail Solutions | 2,799 followers on LinkedIn. We build software for retail supply chain optimization and automation. | At LEAFIO, we create software for retail supply-chain process automation and optimization. We are proud to serve 200+ retail companies in over 30+ countries, helping gain a competitive edge in the market, increase resistance to disruption, and generate more revenue with a higher margin. Our core areas of expertise are:

- Accurate demand forecasting;
- Fully automated order generation;
- Multi-echelon replenishment optimization;
- Macro/Micro space management;
- Planogram generation automation;
- Category management optimization;
- Shelf space performance management;
- Performance tracking; 
- Business Insights and analytics;
- Promotion management;

LEAFIO AI Retail Solutions - optimizing retail.

Co-founder & CEO at Aorta Systems

Dimitri Miranghi

Svitlana Cherevyk

Retail Expert

Yevhen Kalchenko

Retail Automation & Optimisation Expert

Vlad Larson

LEAFIO AI Retail Solutions

LEAFIO AI unveils the Top 6 Retail Trends for 2024. 🌐✨ Check out the insights on the transformative impact of automation, all-in-one platforms, and the future of AI in retail. 🛍️🤖 Thrilled to be at the forefront of this industry evolution! 🚀 #RetailInnovation #FutureTrends #LEAFIOAI Read more 👉 https://lnkd.in/dxJX-xPM

LEAFIO AI is excited to announce its partnership with Quality Oil Company to implement innovative visual merchandising and assortment planning systems across its Quality Mart network. “Recognizing the need for improvement, we sought a software solution to digitize and automate our merchandising and assortment management processes. The main triggers for selecting LEAFIO AI included the necessity to enhance process efficiency, reduce losses and write-offs from out-of-stock issues, and optimize category managers' operational work,” said Jason Barger , the Project Sponsor at Quality Oil. We look forward to the project's completion and will happily share its outstanding results. Stay tuned for more news! https://lnkd.in/dReCratV

Clustering and segmentation may make boosting sales and aligning products with customer preferences and seasonality a walk in the park according to Forbes. Naturally, there are different types of clustering in response to a range of challenges businesses face and each approach offers unique insights into customer behavior and market trends. Let's look at what innovative tech tools can do for us to simplify the implementation of product clustering. https://lnkd.in/eENMpmXd

The holiday rush is almost here, bringing high stakes for retailers everywhere. A sudden stockout or overwhelming surplus can turn a potential win into a chaotic setback. So how can you effectively manage skyrocketing demand while staying nimble and prepared? Catch the recording of our exclusive webinar where we revealed 8 actionable tips that can transform your holiday inventory management strategy. Get ready to conquer the busiest retail season of the year with confidence! Key Takeaways: 🔹 Avoid common inventory pitfalls during the holiday season. 🔹 Master replenishment planning to stay ahead of demand spikes. 🔹 Improve sales forecasting for seasonal and promotional items. 🔹 Synchronize demand strategies across different store formats. 🔹 Streamline collaboration across logistics, procurement, and operations. 👉 Watch the Recording Now https://lnkd.in/eyYG4d5z

It is one thing to persuade customers to make their first purchase, but convincing them to come back again and again is a whole different ballgame. This is where effective loyalty program management comes into play. A good customer loyalty program transforms one-time buyers into repeat, loyal customers. The value of loyalty initiatives is undeniable as multiple studies have shown that increasing customer retention by just 5% can boost profits by 25% to 95%. This article explores top strategies, best practices, and essential components of customer loyalty management. Plus, we’ll look at the powerful tools that support businesses in building enduring customer relationships and reaping the rewards of well-managed loyalty programs today. #CustomerLoyalty #LoyaltyPrograms #CustomerRetention #BusinessGrowth #CustomerEngagement #LoyaltyStrategy #RepeatCustomers #RetentionMarketing #LoyaltyManagement #CustomerExperience #RetentionStrategies #BrandLoyalty #CustomerRelationships #ProfitGrowth #LoyaltyMatters

Welcome to October digest! We've got an exciting lineup covering a wide range of topics for grocery retail, from Inventory management to Category planning that will take your business to new heights.

LEAFIO AI Retail Solutions team is already at Grocery Innovations Canada and ready to meet you! Come to our booth #2014 - we will be happy to discuss modern automation solutions, answer questions, share ideas, and show you the process. We look forward to meeting you!

In the fast-paced digital world, e-commerce has opened new doors for businesses to reach global audiences and scale rapidly. Projections show that the online sector will account for nearly a quarter of global retail sales by 2027. Managing inventory for e-commerce operations brings its own set of challenges and opportunities. Optimizing your e-commerce inventory management strategy is now the key to profitability, scalability, and sustainable growth in the near future. This guide will provide you with a comprehensive understanding of the fundamentals, challenges, and strategies essential for effective inventory management that e-commerce requires. Plus, you'll discover why AI is indispensable in modern e-commerce operations. #EcommerceGrowth #DigitalRetail #InventoryManagement #OnlineSales #RetailInnovation #AIinEcommerce #BusinessStrategy #ScalableBusiness #SustainableGrowth #EcommerceTips #InventoryOptimization #GlobalMarket #EcommerceSuccess #RetailTrends #TechInRetail

Cross merchandising is a powerful strategy for grocery retailers to enhance customer experience and drive sales. By placing complementary products together—like chips with salsa or pasta with sauce—you can stimulate impulse purchases and increase average order value (AOV). 🔗 Key Benefits: Increases sales by up to 20% and profits by 30% (McKinsey & Company). Simplifies shopping and encourages customers to try new combinations. 💡 Tech Tips: Leverage tools like LEAFIO Shelf Efficiency for data-driven insights and automated product placement to optimize your displays. Maximize your grocery store’s potential with effective cross merchandising! #CrossMerchandising #GroceryRetail #SalesStrategy #CustomerExperience #ImpulsePurchases #RetailInnovation #AverageOrderValue #RetailGrowth #MarketingStrategy #DataDriven #ProductPlacement #GrocerySales #RetailSuccess #BusinessGrowth

Building an Effective Promotion Forecasting Process: Key Steps and Insights Planning successful trade promotions requires precision, and accurate forecasting plays a pivotal role in ensuring optimal outcomes. Let's explore the essential steps and best practices for creating a robust promotion forecasting process. 1️⃣ Data Preparation and Cleaning - High-quality data is the foundation of accurate forecasts. Retailers must: - Filter out irrelevant data, such as out-of-stock demand spikes. - Separate promotional and regular sales into different datasets. Once cleaned, this data is loaded into the forecasting model for training. 2️⃣ Identifying Demand-Influencing Factors To improve forecast accuracy, it's essential to consider factors like: - Seasonality - Market share conditions - Regional variations - External events 3️⃣ Model Training and Cross-Validation The forecasting model learns from historical data patterns and adjusts for demand influencers. To ensure reliable performance: - Cross-validation with different datasets verifies accuracy under various conditions. - Refining the model involves additional data and parameter adjustments for optimal predictive accuracy. 4️⃣ Choosing the Suitable Forecasting Model Retailers often combine multiple AI-based models, such as: - Simple Moving Averages - Life Cycle Modeling - Adaptive Smoothing - Random Forest or LightGBM Factors to consider when choosing a forecasting model include: 1. Purpose: Define a specific goal (e.g., financial planning or store occupancy forecasting). 2. Multi-Category Forecasting: Choose a model that accounts for diverse product categories. 3. Forecast Sequence: Decide whether forecasting will start at SKU/store level or category level. 4. Promotion Mechanics: Complex deals like “Buy One, Get One Free” may require specialized models. 5. Data Availability: Align the model’s complexity with available data. 6. Number of Outlets: Determine if the forecast applies to specific stores or the entire network. Interested in learning more? Contact us today to see how LEAFIO AI can transform your retail promotions! https://lnkd.in/eZhjkHy6

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