Kapiva drives supply chain excellence with Self-Serve AI
Kapiva, a D2C nutrition brand, transitioned from traditional spreadsheet-based planning to TrueGradient's connected AI platform — improving demand forecast accuracy by 10% and enabling seamless planning across both B2B and D2C channels.
Kapiva is a D2C nutrition brand offering niche, perishable herbal products. The company faced significant supply chain hurdles including a lack of planning agility, frequent stock-outs, high working capital requirements, and challenges managing stock rebalancing and batch tracking across its product range.
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What Kapiva needed to solve
Lack of planning agility and frequent stock-outs
Kapiva's spreadsheet-based planning processes were too slow to respond to demand changes, resulting in recurring stock-out situations that hurt service levels and revenue.
High working capital requirements
Inefficient inventory management tied up excess working capital in stock, creating financial pressure and limiting the company's operational flexibility.
Stock rebalancing and batch tracking complexity
Managing stock rebalancing between warehouses and FEFO (First Expiry First Out) batch tracking for perishable herbal products added significant operational complexity that manual methods couldn't handle effectively.
The approach
Kapiva transitioned from traditional spreadsheet-based methods to TrueGradient's connected planning platform. The AI Neural Engine — utilising deep learning, machine learning, and econometrics — analyses demand drivers including promotions, events, and seasonality to generate accurate forecasts across Kapiva's product range.
Inventory optimisation was automated: the platform computes profit-optimal reorder quantities by considering supply-side parameters including lead time, safety stock requirements, and target service levels — replacing manual reorder calculations.
End-to-end planning capabilities support stock balancing between warehouses, FEFO batch optimisation for perishable products, and regional utilisation optimisation for e-commerce channels — addressing Kapiva's unique operational constraints across both B2B and D2C business lines.
TrueGradient capabilities in action
AI Neural Engine for demand forecasting
Deep learning, machine learning, and econometric models analyse promotions, events, and seasonality to generate accurate demand forecasts across all SKUs and channels.
Automated inventory optimisation
Profit-optimal reorder quantities are computed automatically, factoring in lead times, safety stock, and service level targets — reducing both stock-outs and excess inventory.
FEFO batch optimisation
First Expiry First Out batch tracking and optimisation ensures perishable herbal products are managed efficiently, minimising waste and compliance risk.
Unified B2B and D2C planning
A single platform manages the unique constraints of both B2B and D2C channels, providing consistent planning logic and visibility across the full business.
Measurable outcomes for Kapiva
Demand forecast accuracy improved by 10%
Enhanced supply chain efficiency through automated connected planning
Seamless operation across both B2B and D2C channels, effectively managing the unique constraints of each
Improved stock rebalancing between warehouses and FEFO compliance for perishable products
Reduced working capital requirements through tighter, data-driven inventory management
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TrueGradient is a no-code self-serve AI product for supply chain optimization founded in 2023.
