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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
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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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