HexClad achieves 10% higher forecast accuracy with TrueGradient
HexClad, the premium cookware brand, partnered with Saras Analytics and TrueGradient to transition from manual Excel-based forecasting to an integrated AI-driven planning system — achieving approximately 10% higher forecast accuracy and reducing forecast generation to around 2 hours.
HexClad is a premium cookware brand that expanded its operations across Shopify, Amazon, and retail channels. As its product catalogue and warehouse network grew, manual spreadsheet-based forecasting became unsustainable. The company partnered with Saras Analytics and TrueGradient to build a unified, AI-driven planning foundation.
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What HexClad needed to solve
Manual, time-consuming planning
Planning was entirely manual, heavily reliant on historical data and individual judgment. As the product range and channel footprint expanded, the effort required became unsustainable for the team.
Data silos across the business
Sales, pricing, and inventory data were not connected. Forecasts failed to account for marketing spend or promotional impacts, reducing their reliability for forward-looking inventory decisions.
Reduced confidence in inventory decisions
Without an integrated, trustworthy planning system, the team had low confidence in inventory purchase and placement decisions — increasing the risk of both stockouts and excess stock.
The approach
HexClad implemented a two-part solution to unify its planning processes. Saras Analytics built the data foundation: creating a validated, centralised data warehouse by organising sales, pricing, and promotional data, and integrating inventory data from Fulfil to ensure demand and supply planning operated on the same trusted dataset.
TrueGradient then deployed AI-driven forecasting on top of this data foundation: machine learning models that incorporated seasonality, promotions, and channel-specific behaviour. This enabled automated, SKU-level demand forecasts and supply planning recommendations — including safety stock and reorder point calculations.
The shift to an AI-driven, repeatable workflow meant planning teams could move away from managing operational noise and focus on higher-value strategic decisions, with greater confidence in their inventory positioning.
TrueGradient capabilities in action
Centralised, validated data foundation
Saras Analytics unified sales, pricing, promotional, and inventory data into a single trusted dataset — eliminating the data silos that had undermined forecast reliability.
AI-driven SKU-level forecasting
TrueGradient's machine learning models incorporate seasonality, promotions, and channel-specific demand behaviour to generate automated, SKU-level forecasts.
Automated supply planning
Safety stock and reorder recommendations are generated automatically alongside demand forecasts, connecting demand signals directly to replenishment decisions.
Repeatable, scalable planning workflow
The integrated AI workflow replaced ad-hoc spreadsheet processes with a repeatable, scalable approach that grows with HexClad's expanding product catalogue.
Measurable outcomes for HexClad
Forecast accuracy improved by approximately 10% within six months
Forecast generation time reduced to approximately 2 hours
Teams shifted from managing operational noise to focusing on strategy
Greater confidence in inventory positioning and growth execution decisions
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TrueGradient is a no-code self-serve AI product for supply chain optimization founded in 2023.
