Wishtree Technologies

Autonomous Procurement and Inventory Planning with Agentic AI

Product Engineering

Autonomous Shipment Planning and Exception Handling with Agentic AI
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The
Overview

Wishtree partnered with a UK mid-sized food distributor to replace reactive procurement and error-prone inventory planning with Agentic AI autonomy.

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Problem
Statement

The client was trapped in a cycle of reactive inventory management, where manual processes and rigid automation failed to adapt to market dynamics, resulting in significant financial waste and operational strain:

  • Margin Erosion
  • Operational Burden
  • Brittle Automation

Highlights

Autonomous procurement and inventory planning with Agentic

Autonomous Procurement & Inventory

Real-time multi-agent collaboration with human oversight

Human-Guided AI Collaboration

AI-driven vendor negotiations tied to live demand forecasts-03

Intelligent Vendor Negotiations

Full compliance and audit logs for regulators-04

Automated Compliance & Auditing

MVP live in 6 weeks-05

MVP live in 6 weeks

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Fully scalable AI integration framework

 

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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 mid-sized UK food distributor specializing in fresh, chilled, and perishable goods, supplying supermarkets, restaurants, and hospitality venues, and managing a complex, high-velocity inventory with stringent food safety and financial compliance requirements

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Challenges
  • Stockouts and overstock of perishable SKUs were eroding margins
  • Procurement teams were drowning in daily reforecasting and vendor calls
  • RPA tools broke down whenever demand or lead times shifted unexpectedly
Solution
  • Perceives data in real time from ERP, WMS, and supplier APIs
  • Plans procurement with predictive demand models and shelf-life optimization
  • Acts by issuing purchase orders, scheduling inbound shipments, and renegotiating supplier terms on-the-fly
AI in Action
  • Continuously ingests real-time data streams to maintain a complete, current view of inventory, demand, and supply conditions.
  • Dynamically plans procurement using predictive demand models that factor in shelf-life, seasonality, and sales velocity.
  • Autonomously executes by issuing purchase orders, scheduling inbound shipments, and even initiating data-driven vendor negotiations based on live forecasts.
  • Interfaces with human buyers via a chat interface, escalating only true edge cases or exceptions for human review.

Core Features

Predictive Demand & Shelf-Life Optimizer

Compliance-Grade Audit Logging

Autonomous Procurement Agent

Real-Time Multi-Agent Collaboration

Secure ERP/WMS Integration Layer

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Impact

  • 40% reduction in SLA penalties from delayed deliveries
  • 25% lower logistics costs via optimized carrier allocation
  • 60% fewer manual interventions by operations teams
  • Real-time autonomous exception handling, minimizing disruption impact

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