Please review our proprietary 12 step consulting paradigm. This process has enabled our customers to enjoy huge benefits and contact us to discuss your needs and how we can guarantee you value.
Understanding your business needs: Through a thorough stakeholder interview process, an assessment is carried out to articulate the current state, and hypothesize the desired state. A proposal follows detailing deliverable and methodology.
Assimilate fact based data: Current state is dissected to root level data. Systems, legacy tools and home grown reports are studied in depth to access master data.
Enable/Correlate database: Backbone of model is created. Primary level data is segregated to create “relevant” database of inputs and variables to support hypothesis. This is a circular process and is revisited several times to achieve best fit.
Align business variable and constraints: Inputs to supply chain components are constrained based on existing physical, economical, regulatory and technological capacities. The floors and ceilings are set and relationships established and tested between inputs and outputs.
Ratify facts to create real models: All inter dependencies, correlations, constraints and primary level inputs are systematized in a responsive economic supply chain model. A change in one primary or derivative input now results in changes in Key Performance Indicators as defined by the hypothesis.
Identify Opportunities: Run parametric testing to determine independent and multivariate Gain within set constraints. Interview cross-functionally to establish reasonability of results and flexibility of inputs.
Action plan to meet desired result: Champions are identified by client to manage change. The end state is defined and process steps clearly earmarked to influence inputs, supervise forecast accuracy of model, and balance expected value with attributed constraints.
Monitor Results: Deliverables are measured over a period of time to perform sanity checks. Anomalies & outliers are feedback to the system and further testing carried out to unearth relationships or inputs.
Simulate sensitivity on cause and effect: Scenario analysis is carried out extensively to create economic plans for short, medium and long-term with practical standard deviations and statistical error margins.
Achieve Stabilization in the target zone: Gain / Loss ratios are approved at leadership level. Departmental targets are set and inputs and impacts managed within range. Noise is managed to keep focus on KPIs.
Continuous Improvement: If gains are in line with predictive model, implement change on a larger scale and repeatedly assess results. If unsuccessful, revisit model and action plan, and new testing is required on a smaller scale.
Deliver real results: Our track record in generating tangible value for the most dominant manufacturers in the world in the Food & Beverage sector can be reviewed in our case study section.