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.
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.
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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.
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.
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.
Measurable outcomes for Angelcare
Forecast accuracy improved by 12%
Achieved optimal inventory mixes and higher service levels across distribution centres
Improved promotion ROI through price elasticity modelling and data-driven trade spend allocation
Reduced manual effort in S&OP through AI-generated planning recommendations
Angelcare is currently extending the platform into financial and capacity management to further reduce logistics costs and working capital
Building on the momentum
Angelcare is extending TrueGradient's planning approach into financial and capacity management, with the goal of further reducing logistics costs and working capital requirements.
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TrueGradient is a no-code self-serve AI product for supply chain optimization founded in 2023.
