Digital enablement
Product Features
Applying Technology
Use Cases
- All
- Marketing
- Trading
- Finance
- Governance
- Research
- Maintenance
- Quality
- Exploration
Demand Planning
Forecasting Demand based on historical sales- Point of sales or Shipment data.
Objective of the exercise could be Planning for Sales & Operations, Promotions planning, Procurement, Budgeting or Sales Target setting.
Price Forecasting
Price prediction study and careful modelling of several factors as it is very difficult to reliably predict price as a function of time.
Sophisticated management and curation of data, algorithms from the discipline of statistics and machine learning and experience can build robust systems.
Predictive Maintenance
OEM guidance on carrying out Preventive Maintenance can vary greatly on either side. Sooner than prescribed MTBF can result in loss time in operations and later would mean cost, waste and unnecessary loss of productive time.
Equipment's need for preventive maintenance can be determined by use of conditions data from sensors around. Image, Vibration, Sound, Material viscosity, temperature, Humidity data are captured for key equipment's, but not often put to good use.
Budgeting
Budget preparation is a highly collaborative and involved process. Data collection, cleansing, aggregation, slicing, dicing, predictions and collaboration are necessary activities to achieve a coherent and agreeable budget.
Quality Assurance
Measuring Quality parameters and predicting through pattern in control charts can help addressing Operational challenges proactively.
Research & Development
Ranging from simple data exploration, Hypothesis testing on efficacy of treatment to building complex causal models data science can help them all. Almost all walks of life can benefit from data insights and predictions.
Exploratory Research
Finding pattern in data and associations, impact of events on demand (or other data of interest) provides insights and helps taking right decisions.