Eggoz transforms S&OP with TrueGradient

Eggoz, India's leading branded egg company operating a farm-to-consumer model, transitioned from spreadsheet-based planning to TrueGradient's AI-driven S&OP platform — achieving 20% higher forecast accuracy, a 10% reduction in replacement rate, and embedding AI experimentation as a core part of their planning strategy.

+20%Forecast Accuracy

-10%Replacement Rate

10%Key Metrics Improvement (3 months)

Company Overview

Eggoz is a food and beverage company that utilises a vertically integrated, farm-to-consumer model to provide fresh, odourless eggs to the Indian market. As the company expanded across multiple omnichannel retail platforms, it faced supply chain challenges including inventory complexity and product shelf-life constraints. To sustain profitable growth and improve margins, Eggoz transitioned from spreadsheet-based planning to TrueGradient's AI-driven Sales and Operations Planning (S&OP) platform.

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The Challenge

What Eggoz needed to solve

Inventory complexity at scale

Managing inventory across multiple omnichannel retail platforms created significant complexity, with demand patterns varying substantially by channel, region, and time period.

Product shelf-life constraints

Fresh eggs have tight shelf-life windows. Forecast inaccuracies translate directly into product waste and replacement costs — making accuracy a sustainability and profitability issue simultaneously.

Spreadsheet-based planning limiting agility

Manual, spreadsheet-driven planning processes could not keep pace with the scale and speed of Eggoz's omnichannel expansion, creating bottlenecks in the planning cycle.

How TrueGradient Helped

The approach

Eggoz deployed TrueGradient's AI-powered S&OP platform, built around an AI Neural Engine that uses deep learning, machine learning, and econometric models to analyse promotions, holidays, and events and generate accurate demand forecasts.

Inventory optimisation was configured to compute profit-optimal reorder quantities at a granular level while explicitly accounting for shelf-life constraints — ensuring that replenishment recommendations are calibrated to product freshness windows, not just demand signals.

TrueGradient's self-serve, no-code environment gave Eggoz analysts the ability to manage planning independently and integrate seamlessly with existing databases — without reliance on data science or IT teams. This self-serve capability has become a core part of Eggoz's planning innovation strategy, with the team actively using the platform's experiment capabilities.

What Was Deployed

TrueGradient capabilities in action

AI Neural Engine for demand forecasting

Deep learning, machine learning, and econometric models analyse promotions, holidays, and events to generate accurate demand forecasts across all channels and SKUs.

Shelf-life-aware inventory optimisation

Reorder quantities are computed at a granular level with shelf-life constraints built in — reducing waste and replacement costs while maintaining availability.

No-code self-serve platform

Eggoz analysts manage planning independently using TrueGradient's no-code environment, integrating seamlessly with existing databases without needing technical support.

Experiment capabilities for continuous improvement

The platform's experiment tools have become embedded in Eggoz's planning innovation strategy, enabling the team to test and validate planning improvements continuously.

After evaluating multiple SaaS platforms, we chose TrueGradient for its results and ease of use. Within three months we saw a 10% improvement in key metrics.

— Harshit Garia, VP of Planning & Strategy, Eggoz

Results