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.

~10%Forecast Accuracy Improvement

~2 hrsForecast Generation Time

StrategicShift from Operational Noise

HexClad achieves 10% higher forecast accuracy with TrueGradient

Company Overview

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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The Challenge

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.

How TrueGradient Helped

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.

What Was Deployed

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.

TrueGradient's AI-driven platform gave us the data foundation we needed to make confident inventory decisions at scale.

— Planning Team, HexClad

Results