Angelcare transforms Integrated Business Planning with Self-Serve AI

Discover how Angelcare, a global leader in baby and pet care products, leveraged TrueGradient's AI-native self-serve planning platform to modernise their end-to-end supply chain — achieving a 12% improvement in forecast accuracy, optimal inventory mixes, and higher promotion ROI.

+12%Forecast Accuracy

OptimalInventory Mix

HigherPromotion ROI

Angelcare transforms Integrated Business Planning with Self-Serve AI

Company Overview

Angelcare is a global company specialising in baby and pet care products, including baby monitors, diaper disposal systems, and bathing solutions. The company operates in over 50 countries, with significant sales and distribution across North America and Europe. Rapid global expansion and an increasing number of product lines created significant supply chain complexity for the business.

Get the full case study

Download the PDF for the complete story and data.

Download PDF

The Challenge

What Angelcare needed to solve

Volatile demand from major retailers

Fluctuating orders from major retail partners led to recurring cycles of excess inventory, tying up working capital and increasing logistics costs.

Time-consuming, spreadsheet-driven S&OP

Manual, spreadsheet-based Sales & Operations Planning processes hindered efficiency and slowed the business's ability to respond to market changes.

Limited visibility into trade spend ROI

Angelcare lacked the tooling to understand the return on their trade promotions, making it difficult to optimise spend allocation across markets.

Difficulty forecasting new products and markets

As the company expanded into new geographies and launched new product lines, existing forecasting methods couldn't reliably estimate demand without established sales history.

How TrueGradient Helped

The approach

Angelcare adopted TrueGradient's AI-native, self-serve integrated planning platform to modernise end-to-end operations. The platform utilises deep learning and agentic AI to forecast both shipment data and point-of-sale (POS) data — giving Angelcare a demand signal that spans the full channel from sell-in to sell-out.

On the inventory side, TrueGradient's optimisation engine determines the optimal inventory mix, safety stock levels, and reorder plans at the distribution centre level — replacing the manual spreadsheet calculations that had previously driven these decisions.

For trade promotion planning, the platform models price elasticity to improve trade spend efficiency, giving Angelcare's commercial teams the analytical foundation to allocate promotion budgets where they generate the greatest profitability impact.

What Was Deployed

TrueGradient capabilities in action

AI-powered demand forecasting

Deep learning and agentic AI models forecast both shipment and point-of-sale data, capturing demand signals across Angelcare's retail and e-commerce channels.

Inventory optimisation at DC level

The platform determines optimal inventory mix, safety stock, and reorder plans at the distribution centre level — reducing excess inventory and improving service levels simultaneously.

Price and promotion planning

Price elasticity modelling enables Angelcare to improve trade spend efficiency and profitability, replacing subjective promotion decisions with data-driven ROI analysis.

AI-native self-serve platform

A no-code, self-serve environment means Angelcare's planning teams can run analyses, adjust plans, and evaluate scenarios independently — without relying on data science or IT teams.

We chose TrueGradient for its AI-driven platform and deep CPG expertise. It's already boosting forecast accuracy, service levels, and logistics efficiency.

— Stephane Huot, VP of Supply Chain and Logistics, Angelcare Group

Results