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Data Analytics for Manufacturing Industry
AI-Powered Industrial Analytics Solutions & Services
We help manufacturers move from reactive firefighting to proactive operations by turning production, asset, and supply-chain data into clear decisions-reducing downtime, improving on-time delivery, lowering costs, and increasing operational efficiency.
Transform from Reactive to a Proactive Approach
AI-Driven Manufacturing Analytics Capabilities for Industrial Enterprises
LatentView helps Fortune 500 manufacturers and auto OEMs deliver decision-grade analytics as an end-to-end analytics partner, backed by 20+ years of domain expertise, agentic AI, and accelerators including ConnectedView and ConnectedNXT. Recognized by ISG as a Global Leader for Specialty Analytics in Supply Chain, we protect uptime, strengthen supplier resilience, and drive commercial growth.
Predictive Maintenance & Asset Intelligence
Uptime is revenue. Every unplanned failure is a cost that was visible in your data.
LatentView builds ML-based Early Warning Systems using Logistic Regression that detect downtime signals in sensor data before failures halt production lines. For a leading US snack foods company, this delivered $2 million in savings per fryer with $50 million potential after rollout across 30 plants.
Process mining identifies the exact points where throughput is being lost across packaging and production lines – for a leading snack and beverage manufacturer, this delivered $1 million in savings per packaging line. Condition-based maintenance models replace fixed schedules with data-driven interventions, extending operational life across critical manufacturing assets.
OTD and Demand Management
85%+ demand accuracy. On-time delivery. Inventory that does not drain working capital.
Inaccurate demand forecasts hit industrial manufacturers from both sides. Excess inventory ties up working capital while stockouts disrupt production and delay customer deliveries.
ConnectedView integrates weather signals, local events, and social data with internal sales history to deliver 85%+ demand accuracy, connecting downstream market signals to upstream production and procurement decisions in real time.
On-time delivery analytics pinpoint logistics and planning bottlenecks before they affect customer commitments, while inventory levels are recalibrated continuously to reduce storage costs and free up capital.
Connected Vehicle & Fleet Analytics
Connected vehicles are a margin lever. Most manufacturers are not treating them that way.
Missed connected-vehicle monetization is one of the most significant value gaps in the industrial enterprise today. ConnectedNXT uses vehicle telemetry, driver behavior data, and sensor streams to identify maintenance requirements before failures occur, keeping fleets running, reducing emergency repair costs, and extending asset life across the full vehicle estate.
Real-time tracking of battery state, tire wear patterns, and per-vehicle operating costs gives fleet operations leaders the data to optimize vehicle deployment and reduce total cost of ownership. Condition-based fleet intelligence replaces fixed maintenance schedules with decisions grounded in actual asset state.
Supplier Visibility & On-Time Delivery
Supplier failures are visible in your data long before they hit your production floor.
By the time a supplier failure disrupts production, it is already too late to act without cost. LatentView builds real-time supplier monitoring frameworks that track delivery times, quality metrics, and compliance performance continuously, giving procurement leaders early signals before disruptions reach the production floor.
Supplier risk models score which partners and routes carry the highest disruption probability, enabling procurement teams to build resilience into sourcing decisions before failures occur.
Performance scorecards track fulfillment reliability across every supplier, giving operations and commercial leaders a single view of where gaps are forming and what they are costing the business.
Customer & Commercial Analytics
The accounts most likely to churn are already showing signals in your data. Most manufacturers are not reading them.
For a global manufacturing marketplace, LatentView’s customer analytics and behavioral segmentation frameworks reduced churn by 40% in priority segments and cut time-to-contact from 6 months to 90 days, directly protecting revenue from the accounts that matter most.
Propensity models rank accounts across direct and channel partner programs so sales and aftermarket teams concentrate resources on the highest-return opportunities.
Marketing analytics connect ABM activity to campaign spend and pipeline contribution, giving commercial leaders a clear view of what is generating revenue and what is not.
Pulse
Streamline manufacturing and save downtime costs
Pulse
Streamline manufacturing and save downtime costs
Success Stories
How LatentView Analytics Helped Automotive Giants to Underpin Data for Growth and Optimization
Navigate with Precision, Efficiency, and Proactive Intelligence.
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