Data reliability can be a major challenge in grocery retail, where poorly maintained and unsynchronized systems force employees to create workarounds or miss deadlines, leading to operational disruptions. 

For grocery retailers, multiple stakeholders and systems operate simultaneously, creating operational complexity as each party maintains distinct processes and objectives that can conflict with store operations.

Fresh products offer competitive differentiation but present complex challenges due to poor data management, short shelf life, and the risk of spoilage. With 13% of global food waste originating from retail, reducing waste not only improves profitability but also helps retailers achieve their sustainability goals.  

Outdated technology stacks and poor data quality can hinder a retailer’s ability to respond quickly to market changes when it comes to pricing and promotions. Poor data quality can also lead to suboptimal pricing decisions and ineffective promotions.  

Grocery retailers can face challenges in optimizing the allocation of limited store space to maximize sales and customer satisfaction. Adapting layouts to changing consumer preferences and seasonal demands, ensuring efficient product placement, and maintaining consistency across multiple store formats adds to the complexity of space planning. 

Using local demand signals, incoming stock levels, and real-time inventory data, store teams can create AI-driven order proposals for fresh store ordering. This ensures guided workflows that reduce manual effort and ordering errors.

In-store production planning for bakery, deli, and prepared foods teams connects directly to the same demand forecast driving DC replenishment. Teams receive precise, shift-level production plans to reduce over-production waste and keep shelves consistently stocked.

Markdown recommendations are triggered at the right moment and informed by remaining shelf life, current stock levels, and forecast sell-through. Store teams act earlier and more precisely, recovering margin instead of clearing product at end of day when the opportunity has already passed.

AI-driven inventory alignment identifies discrepancies, eliminates phantom stock, and corrects inaccuracies in real time. True Inventory is the foundation: when store-level inventory data is clean, ordering proposals are trusted, production volumes are accurate, and markdowns are the exception rather than the daily response to over-production.

Provide end-to-end visibility across the full value chain from supplier to shelf. RELEX Diagnostics identifies bottlenecks that store-level metrics alone cannot surface. Diagnostics pinpoints where shrink, availability failures, or execution inconsistencies originate, so operations leaders can fix root causes rather than react to symptoms.

Using hundreds of demand drivers such as seasonality, promotions, assortment changes, and local events, RELEX demand planning helps planners reduce stock-outs, excess inventory, and spoilage for focus on exceptions rather than manual adjustments.

The RELEX unified platform integrates and synchronizes the various processes and objectives of diverse stakeholders and systems while delivering real-time data visibility to drive operational alignment. RELEX simplifies operational complexity and optimizes cross-departmental collaboration to boost organizational efficiency. 

The RELEX AI-driven platform optimizes pricing strategies and promotional effectiveness, leading to increased sales and profitability, reduced manual work, and improved alignment with market dynamics and competitor pricing. Our unified approach enhances collaboration across teams, ensuring more accurate and impactful promotional campaigns. 

RELEX provides advanced tools for optimizing store layouts and product placements, ensuring efficient use of space, enhancing customer experience, and maximizing sales. The platform’s data-driven insights and collaborative features enable grocers to adapt quickly to changing consumer preferences and seasonal demands, while maintaining consistency across multiple store formats.