Forecasting consultancy services

Research and consultancy services to industry, commerce and government

Example of our services include:

  • forecasting key data series
  • estimating market elasticities (e.g. the effects of changes in advertising spend) 
  • software appraisal and development
  • evaluating the link between poor forecasting and poor performance

Business consultancy

We offer a wide range of services on all problems in corporate forecasting. Recent clients include:

  • BT: forecasting the uptake of broadband
  • Barclaycard: call centre forecasting
  • Interbrew: examining weather effects on beer demand
  • Tesco: Distribution centre forecasting for HR scheduling
  • Tesco: Forecasting daily fresh products sales per store using weather and promotional information
  • ITV: Forecasting regional TV audiences in five minute intervals

Masters Projects in the Forecasting Centre

A particularly cost-effective route to ‘solving’ a forecasting or marketing analytics problem faced by an organisation is through our Masters student projects: in forecasting and analytics for logistics & supply chain management, government services, call centres, utilities... You determine the topics! We also offer projects in data mining (e.g. for credit scoring, customer relationship management), analytical marketing (e.g. for direct marketing, long-term marketing effectiveness, marketing resource allocation) and predictive analytics  in general. These projects can be integrated into a full-blown consultancy if the problem merits it.

Software design and evaluation

Clients have included Waitrose, McBrides and the Department of Health.

The Supply Chain Forecasting Network

Establishment of a network of firms to support forecasting research in the supply chain.

Additional areas of expertise

Please contact us if you are looking for support in:

  • Forecasting and Sales and Operations Planning (S&OP)
  • Improving S&OP: Key Factors and Considerations
  • Managing and Energizing the S&OP Meeting: Agenda & Action Items
  • How Forecasting can Improve Your Supply Chain Management (SCM) Strategy
  • How to Forecast with Wal-Mart or a Major Retailer
  • Calculating and Explaining the Cost of Forecast Error to Management
  • How to Collaborate with Customers on a Demand Plan
  • How to Incorporate Market Intelligence into Statistical Modeling
  • New Product Forecasting: Issues, Experience, and Success Factors
  • Collaborative Planning, Forecasting & Replenishment (CPFR) and lessons Learned
  • Forecasting and Calculating Safety-Stock Levels
  • How to Build a More Effective Forecasting Team
  • Calculating ROI on New Forecasting Initiatives
  • Forecasting Techniques, Processes and Applications
  • Role of Forecasts in Managing Inventory
  • The Forecasting Function, Where it Should Reside
  • Organizational Design and the Forecasting Function
  • Politics/ Biases in Forecasting
  • How to Tie Forecast Error to the Bottom Line.
  • Synchronizing the Supply Chain with Consumer Demand
  • Forecasting Systems, Architectures & Processes
  • Forecasting and Demand Planning Metrics
  • Creating and Managing Expectations of Forecasts
  • Centralized vs. Decentralized Forecasting: Pros and Cons
  • How to Select a Forecasting/ Demand Planning System
  • Forecasting Different Business Types: Issues and Factors
  • Qualitative vs. Quantitative Forecasts: Considerations, Pros, and Cons
  • Cost of Forecasting vs. Benefit of Forecasting: The Economic Trade-Off
  • The Cost of Error: Measurement and Management
  • Error Experience by Industry: Trends, Differentiating Factors, and Implications
  • Improving the Forecast Development Process
  • Managing the Forecast Consensus Meeting: Agenda & Action Items
  • Demand Management: Getting the Best Demand Outcomes for Your Company
  • Key Performance Indicators (KPIs) and metrics to gauge planning effectiveness
  • Proving your Forecasting Departments Worth: Is it adding value?
  • Vendor Managed Inventory (VMI) and Forecasting
  • Forecasting in Collaborative Planning Forecasting and Replenishment (CPFR)
  • Event Based Demand Planning and Forecasting
  • Forecasting for Intermittent Demand
  • One Number Forecasting
  • Data Cleansing, Data Grooming, Turning Data into Useful Information
  • Impact of Radio Frequency Identification (RFID) on Forecasting
  • Forecasting Over Different Time Horizons: Short, Intermediate and Long Term