Smarter Analytics
Smarter Analytics uses real-time data, AI-driven anomaly detection, and scenario modeling to uncover risks, identify opportunities, and help your team make proactive decisions.
How Does Smarter Analytics Work?
Connect to Your JD Edwards Data
Smarter Analytics securely connects to your JD Edwards tables through the AIS server, allowing access to the operational data that drives your business.
Prepare & Structure the Data
Relevant data is brought into the Oracle Autonomous Data Warehouse, where it is organized and transformed into clean, usable data models designed for analytics.
Apply Machine Learning
Oracle Machine Learning algorithms analyze your JD Edwards data to identify patterns, trends, anomalies, and opportunities for optimization.
Generate Intelligent Dashboards
The outputs from these models are combined with large language models to automatically generate dynamic dashboards that highlight key insights, drivers, and recommendations.
Deliver Insights Where You Work
Dashboards can be deployed across internal systems, customer portals, or embedded directly into JD Edwards EnterpriseOne pages.
We recommend embedding analytics inside JD Edwards so users can explore insights and take action within the same workflows they use every day.
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Smarter Analytics Dashboards
Warehouse Pick, Pack, and Ship
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Analyze current bottlenecks into the current, pick, pack and ship process
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Provides anomaly detection both at the item level as well as the pricker level to figure out where in the process the delay occurs
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Identifies patterns where failures occur and recommend actions of where changes will provide the most value
MRP & Inventory Analytics Dashboard
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Detects early material shortages and replans demand when supply changes
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Identifies excess and overstocked items to lower storage and handling costs
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Ability to run Monte Carlo Simulations to find the optimal balance between holding costs and service levels
Sales Anomalies
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Review of Profit Margin and Key Insights
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Detect sales transactions by originator
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AI Recommendations to assess why anomalies may be occurring and to assess profit margins better
Warehouse Reallocation Analysis
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Analyzes the current shipping information and presents valuable insights via interactive dashboards
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Recommends item movement to minimize transportation distance and optimize saving potential
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Provides phased implementation strategies for optimizing inventory reallocation strategy
AI-Driven MRP Stability Engine
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Provides an interactive view of your MRP stability across multiple areas such as supply chain, demand planning, production and inventory
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Provides insights into demand forecasting and item replenishment issues to develop finished goods
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Recommendations for order optimization and minimizing order cancellations or increased customer lead time for finished goods
Order Intelligence HUB
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Visibility into the customer order lifecycle
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Ability to release orders to the warehouse for picks
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Investigate orders that are backordered and execute partial ships
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AI Recommendations for fixing back-ordered orders
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Investigate orders with item shortages and reallocate quantity
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AI Recommendations for fixing shortages
Multi Product BOM Management
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Helps employees quickly understand how parts roll up into assemblies
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Identifies current parts stock for faster alignment on sourcing and make/buy decisions
Smarter Analytics Demo
In this short demo, we walk through an example using warehouse data to analyze item allocation across multiple locations. By applying machine learning to JD Edwards data, Smarter Analytics identifies inefficiencies, highlights opportunities for optimization, and provides actionable recommendations to reduce operational costs.
Example Dashboards and Recommendations