AI-enabled supply and demand planning for an established retailer

PTL Co provided the supply chain expertise to support the AI-enabled development of an integrated planning solution for an established retailer.

THE CHALLENGE

Turning supply chain expertise into system logic

Client

Established UK multi-channel retailer

Sector

Retail

Scale

3.5k SKUs, multi-channel D2C and B2B, complex supplier base

Engagement

AI-enabled supply & demand planning

An established retailer wanted to improve the way it planned demand, inventory and purchasing across a large, multi-channel product range. The business saw the opportunity to use AI to help develop a more capable planning solution, but needed the underlying supply chain methodology, logic and operational requirements to be clearly defined first.

AI could accelerate development. The critical requirement was ensuring the planning logic behind it was right.

WHAT WE DID

Defined the supply chain logic behind the solution

PTL Co defined the planning methodology and business rules the solution needed to support, covering forecasting, product classification, target stock, replenishment, overstock and performance measurement. This provided the supply chain framework for the AI-enabled development, ensuring the technology was built around practical planning requirements rather than determining them.

FORECASTING

Demand-pattern-led forecasting with backtesting and management overrides.

ABC CLASSIFICATION

Product segmentation to support differentiated planning policies.

TARGET STOCK

Service-led inventory targets reflecting demand and uncertainty.

SUGGESTED ODERS

Replenishment logic connecting stock, target levels and supplier lead times.

PLANNING PROCESS

A structured monthly cycle connecting analysis, management decisions and execution.

KPIs

Measures covering forecast, inventory and planning performance.

WHAT WE ACHIEVED

Outcomes delivered

The engagement established a more joined-up approach to supply and demand planning, connecting forecasting, inventory and replenishment within a single management process. Crucially, the AI-enabled development was grounded in defined supply chain methodology and business rules, so the resulting capability reflected the decisions the business actually needed to make rather than allowing the technology to define the process.
Integrated Planning
 
Forecasting, inventory and replenishment brought together within one planning approach.
Demand-Led Forecasting
 
Forecast methods matched to different product demand patterns.
Service-Led Inventory
 
Stock targets linked to demand, uncertainty and service requirements.
Management Control
 
A defined monthly process for reviewing, agreeing and executing the plan.
Structured Replenishment
 
Ordering decisions connected to target stock, inventory position and lead times.
AI With Supply Chain Oversight
 
AI-enabled development supported by defined methodology, rules and operational requirements.

PTL CO EXPERTISE

Explore related services

Discover the services behind succesful project delivery.

AI-enabled supply chain systems

AI can help build the system. Supply chain expertise makes sure it builds the right one.
PTL Co provides independent supply chain expertise to help define requirements, methodology and business rules, and to support the design, testing and refinement of AI-enabled supply chain systems.
 

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