Intelligent Supply Chain Automation: From Reactive to Predictive Operations
Product Engineering
The
Overview
Wishtree partnered with a UK food distributor to transform their supply chain using Agentic AI, moving from manual, error-prone processes to fully autonomous inventory planning and procurement.
Problem
Statement
The client was operating a reactive and costly supply chain, plagued by manual inefficiencies and legacy system limitations. This resulted in significant financial losses and operational instability, with four core challenges:
- Significant Financial Drain
- Operational Inefficiency
- Systemic Inaccuracy
- Lack of Scalability
Highlights
99%
Forecast accuracy for perishable inventory
60%
Reduction in manual procurement tasks
40%
Improvement in supplier negotiation outcomes
Full compliance automation with real-time audit trails
Production-ready AI deployed in 6 weeks
Fully scalable AI integration framework
Agentic AI refers to autonomous, goal-driven software agents that act with
limited human input to optimize specific goals like pricing, forecast demand,
and detect fraud in real time.
About Client
A leading UK food distributor supplying fresh, chilled, and perishable goods to supermarkets, restaurants, and hospitality venues across the United Kingdom, managing a complex portfolio of 2,000+ SKUs with specialized handling requirements and strict compliance standards.
- $2.3M annual loss from perishable stock spoilage
- 15+ hours weekly spent on manual vendor negotiations
- 25% order inaccuracy due to legacy system limitations
- Inability to scale operations during peak demand periods
- Analyzes real-time data from 15+ supplier APIs and internal systems
- Predicts demand with 99% accuracy using machine learning models
- Automates 85% of procurement decisions and vendor communications
- Optimizes inventory levels across 2000+ SKUs in real-time
- Learns continuously from market trends and seasonal patterns
- Ingesting real-time data from 15+ supplier APIs, the NetSuite ERP, and Infor WMS.
- Analyzing this data with advanced machine learning models to predict demand with 99% accuracy
- Acting by automatically generating and sending purchase orders for 85% of procurement needs
- Learning from outcomes to continuously refine its forecasting and optimization strategies
Core Features
Predictive Demand Engine
Autonomous Procurement Agent
Real-Time Inventory Optimizer
Intelligent Compliance Logger
Seamless API Integration Layer
Impact
- $1.8M annual savings from reduced spoilage and optimized inventory
- 99% order accuracy with real-time stock validation
- 60% faster procurement cycles through complete automation
- 40% better supplier terms via AI-driven negotiation
- 100% audit compliance with automated reporting
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