Manufacturing & industrial
We provide solutions successfully developed with large industrial groups aimed at improving profitability and competitiveness through pricing and the use of data for the improvement of product engineering processes
Value for customers
Companies in the industrial sector face constant pressure on margins and often limited market growth rates. Although many companies in this sector have already significantly improved their production processes, they have enormous margins for improvement in other areas such as pricing and product innovation and engineering processes. Furthermore, the exponential increase in available data further increases the opportunities to generate value in these areas.
Areas of Opportunity
The main decisions and challenges companies need to face to improve profitability and successfully compete on the market.
How to improve profitability with pricing?
With better segmentation and more sophisticated pricing processes, manufacturing companies can improve profitability by 1.5% and 4% on sales.
The use of prescriptive decision models for the sales force, based on the estimate of purchase potential, current spent and analysis of customer behavioral data are a very effective solution to increase profitability even in low-growth sectors
How to increase the margin with a more active management of the customer mix?
How to maximize ROI from innovation projects?
With the adoption of a prioritization and scoring model and with the execution of a more "Agile" approach based on the incremental increase of the TRL (Technology Readiness Level), the companies can significantly improve the ROI and minimize risks and costs
How to reduce product costs with Value Engineering and product Complexity reduction?
The key to success is tthe creation of a process led by a cross functional team and supported by an analytical and quantitative approach for the evaluation and prioritization of improvement opportunities.
How we help our customers
Pricing capability diagnostics
Quantitative / statistical assessment of historical data
Data-driven segmentation development
Pricing power and price risk by segment
Business rules and price target
Deal scoring tool
Decision-making processes and delegations
Pricing index metrics
Training
Deployment on ERP / CRM / BI
Pricing - insight
Processes of idea Evaluation
Innovation ideas scoring tool (qualitative / financial)
Model for the evaluation of the Technology Readiness level (TRL)
Reporting of portfolio of innovation projects on BI
Agile Execution based on TRL increment
Data driven innovation
Real customer profitability and corrective actions
Customer health score algorithm
Price / volume / mix alerting models
Prescriptive reporting (high deviations)
Customer micro-profiling on behavioral analysis
Deployment reporting on Power BI or Qlik View / Sense
Prescriptive models and algorithms for pricing and sales
Quantitative models to identify products and components with greater potential
Ideas scoring tool (financial, qualitative)
Econometric models for cost reduction estimation (purchasing, operations, logistics)
End to end process design and implementation
Reporting process on economic results
Deployment process for periodic review