Manufacturing Data Solutions
Advanced Data Science and Analytics in the Manufacturing sector
Machine learning offers many benefits to manufacturers. By analysing vast amounts of data, machine learning algorithms can identify patterns and insights that would be impossible for humans to detect.
How can Calligo help Manufacturers with data management?
Procurement Optimisation
Efficient procurement ensures that supplies are available to meet demand and reduces costs from inventory or lost sales.
Manufacturing Economic Shock Analysis
Navigating uncertainty reduces risk of decreased yield, supply loss, idle labour costs, and optimises labor allocation.
Demand Forecasting
Accurate demand forecasting reduces inventory cost, increases revenue (by lowering lost sales), and leads to higher customer satisfaction.
Supply and Demand Optimisation
Profitability increases by meeting demand while increasing revenue and reducing inventory costs.
Supplier Degradation
Cost reduction is achieved by choosing higher quality parts and negotiating better deals with suppliers and/or informs engineering efforts to produce better supplies.
Predictive Maintenance
Knowing when to fix machines helps manufacturers reduce machine down-time, achieve yield targets, and lower labour costs.
Inventory Optimisation
Optimising inventory reduces storage costs and lost sales, lowers input costs, and increases efficiency.
Product Servicing Optimisation
Optimising services reduces product down-time, increases profit from warranty contracts, decreases labour cost, and increases customer satisfaction.
Logistics Optimisation
More efficient logistics leads to cost savings, higher production, quick product delivery, and more satisfied customers.
Product Quality
Higher product quality leads to lower repair cost, fewer supplies, more efficient labour allocation, and more satisfied customers.



