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Sales, Inventory & Operations Planning (SIOP) Suite
Key Issues:
Seasonal and cyclical demand patterns, lead to inventory costs and stockouts.
Demand planning must account for constraints including promotions, tariffs, regulations, and price changes.
Suboptimal pricing and rebate strategies risk distorting demand timing or ceding market share.
Demand & Constrained Forecasting Forecast SKU-level industrial and enterprise demand, with real-time sales plan updates based on constraints.
15-25% higher demand forecast accuracy for equipment, service parts, components, and raw materials by using external variables.
Inventory Segmentation & Placement Classify SKUs by velocity, size, price to determine hub-spoke placement and optimal inventory levels in each branch.
15-20% reduced inventory carrying costs and stockouts across the distribution network.
Price Prediction
Determine bid acceptance or optimal pricing for each SKU in real-time.
80% improvement in latency, 98% accuracy, 2-3% increased profit margins for price prediction
BI Business Process CoPilot (BPC) Conversational business intelligence on sales, inventory trends and forecasts.
Better access to promotions, comparisons, and customer queries via sales BPC.
Combines external data (e.g. economic data, weather) with internal data (sales, inventory, parts, and item transitions) to build accurate forecasting or prediction models.
A global HVAC company focused on air conditioning, fluorochemicals, and filters with over $30 billion net sales across 170 countries.
Solution:
Industry forecasts for 29 product categories
Sales planning forecasts to plan production for ~5k SKUs with 500+ external variables
Customer product class forecasts to plan customer shipments
Company-owned distributor forecasts to plan logistics and shipping for 350 branches in 26 regions
Parts forecasting to plan imports and inventory for ~15k parts
Leading to a reduced carrying cost of inventory, overstocking, and lost sales.
Leading to optimized rebates based on distributor forecasts
On investing in optimal inventory and sales planning strategies.
Factory Suite
Key Issues:
Supply chain volatility and rising costs of raw materials, transportation, and energy.
Shortage of skilled labour, process automation bottlenecks and quality control.
Integrating advanced technologies into legacy systems and data management.
Digital Twin Lite
Collects and unifies lab, sensor, and external data for real-time process visualization.
Continuous monitoring of KPIs and profitability drivers.
Anomaly Detection
Detects anomalies in factory processes through statistical process control and Al algorithms.
~3% improvement in yield by monitoring sub process KPIs and 6-8% reduction in downtime.
Predictive Maintenance
Provides issue severity, classification, parts inventory, and repair recommendations.
Prognostics and prioritized maintenance plan for factory machinery.
Optimization
Real-time optimization balances yield, byproducts, energy, quality, and quantity based on the process.
10-15% increase in profit through optimized quality, throughput, and yield.
Resource Scheduling
Optimizes worker schedules based on production targets and labor constraints.
10-12% improvement in workforce scheduling and productivity-based compensation monitoring.
Unifies lab, sensor and external data to monitor processes and run optimization based on constraints.
A leading Latin American sugar producer with 17k+ employees exports to 30+ countries. It processes sugar cane to produce sugar, molasses, alcohol, and energy.
Solution:
Real-time process visualization for operators
Real-time anomaly detection for quality control
Predictive maintenance for machinery
Balance yield, throughput, quality and by-products to determine optimal process setpoints
Through optimized harvest and mill process setpoints.
Through process visualization and anomaly detection.
See how leading factories have adopted digital twins, anomaly detection, and optimization
Customer Suite
Key Issues:
Information unavailability for sales and customer discovery.
High effort and time-intensive customer and after-sales support.
Lengthy triaging process to attribute issues and determine repair steps.
Customer Support BPC
Handles customer inquiries instantly and escalates complex issues to engineers with auto-generated tickets.
85% customer satisfaction with 60-70% reduction of manual ticket handling time. 18% increase in cross-sales and 6% higher customer retention.
Specifications BPC
Allows customers to conversationally retrieve and compare specs.
12% increase in product impressions and 'Add to Cart' conversion rates.
Warranty Claims Classification
Automates warranty claim analysis and fault attribution.
>90% warranty claims classified within 15 seconds with 85-95% fault attribution accuracy.
Repair Recommendations
Provides repair guidance based on issue type, parts availability, and prior resolutions.
96% accurate solution recommendations with exact citations.
An American MNC designs, manufactures, and sells electronic components and circuit protection devices, serving many markets, including automotive, telecommunication, and consumer electronics.
Solution:
BPC enabled customers to compare SKUs, access key product specifications, and resolve queries to select the right product for their needs. They leveraged customer support BPC to address queries regarding specifications on products used by customers.
By developing web interface for specification guidance, lookup, and comparisons.
Led to a reduction customer tickets.
For a detailed walkthrough of our case studies.