Retail and Consumer Products

Use Case from Retail and Consumer Products Industry:

1. Modules: Product / Brand Affinity

Use Cases:

AI is used to analyze data related to FMCG products and brand affinity to provide valuable insights and improve marketing strategies, product placement, store flow and visual merchandizing, through sentiment analysis, personalization, predictive modeling, image recognition, etc.

2. Modules: Product Development Life Cycle Management

Use Cases:

1. Built an end-to-end platform, integrating a B2B marketplace and a B2C marketplace with a backend platform for seamless transactional processing.
2. Backend process automation systems for tasks that were repeated, learning from data to produce insights and predictive intelligence, reducing time from order to manufacturing to reaching the end-customer by over 50%.
3. Trade finance/ treasury solutions incorporated to ensure seamless financial solutioning on a singular tech stack
4. Simplified integration, streamline workflows, enhance data management, and provide cost and resource efficiency while offering scalability, flexibility, and faster development cycles.

Investment Management

Use Case from Investment Management Industry:

Modules: Automated Portfolio Management

Use Cases:

Fund management solution that helped to calculate the probability of profit in each trade autonomously through the incorporation of technical analysis and macroeconomic data. Integrated with multiple ticker feeds for mutual funds, equities and commodity derivative platforms.

Investment & Portfolio Management:

1. Investment Classification – Types, sectors, markets, others
2. Portfolio definition with details of Portfolio Strategy and partner details
3. Investment masters
4. Investment transactions – Buy, Sell, Revalue, transfer, others
5. Investment Risk Management & Analysis
6. Trace Investment Expenses
7. Market value entry / upload / Integration
8. Seamless integration with General Ledger, Accounts Receivable, Accounts Payable, and Bank Modules
9. Detailed Audit Trails of Investment Activity

B2B Finance

Use Case from B2B Finance Industry:

Modules: Treasury solutions including tracking of loans, payments, and cashflow optimization

Use Cases:

AI-driven credit financing and loan origination platform, incorporating credit risk assessment, fraud detection, customer service, document processing, loan pricing

B2B Operations

Use Case from B2B Operations Industry:

Modules: Process optimization

Use Cases:

1. Business Operations: Telematics and fleet tracking solutions, operations management (LC/PO/DO/AP/AR), Inventory and Order management solutions.
2. RPA automation for PO/DO generation, price drop notifications, and predictive demand tracking (to automate repurchase orders).

Manufacturing

Use Case from Manufacturing Industry:

1. Modules: Manufacturing

Use Cases:

1. Digital Twin: End-to-end visibility of manufacturing operations Real-time data analytics, predictive capabilities, and decision support enable manufacturers to optimize processes, increase efficiency, and respond to changes proactively.
2. Machine sensor integration, process automation, predictive maintenance, inventory optimization, energy efficiency, supply chain optimization, and workforce planning.
3. Supply chain optimization and demand forecasting, real-time monitoring, and risk management.

2. Modules: Warehouse optimization

Use Cases:

Warehouse operational optimization – indoor asset tracking and robotic automation of picking and packing up to the first mile.

3. Modules: Predictive Maintenance

Use Cases:

Predictive Maintenance (PdM) through the integration of multiple sensors to both single lines of production and multiple lines of production and visualized with digital twin and push notifications (mobile application). Project has been sponsored by end client (contract manufacturing) or by factory owner (fully backward integrated manufacturers.

4. Modules: Defect Detection

Use Cases:

CV (Computer Vision) for defect detection (visual inspection of end product or for manufacturing process). Used in quality control and inspection processes in manufacturing industries.

4. Modules: External Asset Tracking (Telematics)

Use Cases:

Key points: data collection and monitoring, predictive maintenance, improved asset utilization, enhanced route optimization, geofencing and security, condition monitoring, risk management and compliance, real-time insights and analytics, supply chain optimization, and enhanced customer service.

Healthcare

Use Case from Healthcare Industry:

Modules: Lifestyle Medicine Recommendations

Use Cases

1. Objective: To empower at-risk individuals with the right behavioral changes that can improve health outcomes and reduce insurance premiums
2. Input Data: Voice based transcription of doctor interactions with patients, medical history, medicine use or medical compliance
3. Process Data Sources: Extract text and unstructured data and fill forms as provided by medical professionals
4. Output Data: Scoring of forms, calculation of proclivities to specific chronic illnesses, and recommendations for lifestyle changes.

Logistics and Supply Chain

Use Case from Logistics and Demand Forecasting Industry:

1. Modules: Demand Forecasting

Use Cases

Integrating with one of the world’s largest supply chain and logistics companies’ trade ecosystem, we launched a digital twin on top of a graphDB, to enable the following outcomes:

1. Demand forecasting - The predictive analytics solution helped to provide the client with accurate demand forecasts, ensure optimal stock levels, reduce stockouts or excess inventory, and enhance overall supply chain efficiency.
2. Proactive shipment monitoring and issue detection.
3. Enhanced supply chain resilience - By analyzing data on supplier performance, market trends, and external factors, the solution identified vulnerabilities and provide insights to optimize supplier management, mitigate risks, and enhance supply chain resilience.
4. Cost reduction and resource optimization - By accurately predicting demand, optimizing routes, and proactively addressing issues, the client achieved cost savings and resource optimization. This includes reduced fuel consumption, optimized fleet utilization, efficient resource allocation, and minimized operational inefficiencies. The predictive analytics solution enabled the client to make data-driven decisions that optimize costs while maintaining service quality.
5. Shortening the supply chain for high-value food businesses by creating a digital twin that aids in predicting demand, driving visibility throughout network for the Global Food Industry.
6. Ability to see where everything is trending, for example, when a particular country is gaining more demand, and how it can communicate that in dynamic pricing, shortening the supply chain cycle by providing increased fleet resources, etc.

2. Modules: Graph Database

Use Cases

The use case is built on customer and merchant data and their interactions collected from real data. With the main value for each group would be:

1. End User Objective: Drive customer engagement and loyalty.
2. Merchant Objective: More sales per $ ad spent.
3. The omnichannel database helps by stitching customer demographic and touchpoints from various data sources to holistically construct a more complete user profile.
4. This allows us to understand the customer better across services and create a more personalized lifestyle experience. This happens in two ways.
5. Customer segmentation to enable targeted marketing/campaigns.

Hospitality

Use Case from Hospitality Industry:

1. Modules: Recommendation Engine

Use Cases:

1. Recommendation engine built on top of graph technology. Graphs are built so the relationships between customers and products / offers / packages they are likely to purchase are already laid out – so it becomes easier to run algorithms through the data to find recommendations.
2. Real-time recommendations are becoming more important than ever. But the ability to correlate product information, past customer behavior, current supplier information, logistics, and social data such as ads clicked, and products discovered on social media has become increasingly difficult.

2. Modules: Customer journey optimization (check in)

Use Cases:

1. Seamless check-in and check-out processes
2. Improving occupancy rates
3. Cross-sell strategies attempt to identify complementary products or services that existing customers are likely to add to existing purchases
4. Upsell strategies encourage users to upgrade or move to more premium or higher-tier offerings

Real Estate and Facility Management

Use Case from Real Estate and Facility Management Industry:

Modules: Staff scheduling and resource management

Use Cases:

1. Tracking and handling of security guard applications and clearance from the local police force to shorten the time from application to on-the-ground deployment
2. Automated scheduling and human resource management to handle and manage large-scale operations and multiple compliance rules
3. Automated reconciliation of billing (actual vs. submitted) to reduce the error rate for straight-through processing
4. Sales and Customer Relationship Management to manage both customer engagement and develop account-based sales relationships

Finance

Use Case from Finance Industry:

Modules: Risk management

Use Cases:

AP/ AR risk monitoring using past historical data. By leveraging past historical data, it can gain valuable insights into its AP and AR activities, assess risks, and take appropriate actions to mitigate those risks which can help improve cash flow, minimize bad debt, enhance customer relationships, and strengthen the overall financial health of the company

Agriculture

Use Case from Agriculture Industry:

Modules: Commodities price tracking

Use Cases:

1. Used by commodities traders to predict demand and supply shocks and supply chain optimization. By analyzing large amounts of data from various sources such as weather patterns, crop yields, production levels, transportation routes, and global economic trends, commodities traders gained insights into future demand and supply imbalances and make informed decisions about when and where to buy or sell commodities.
2. Used to democratize the Big Food lobby in North America by creating significantly more transparency, making the food industry more accessible and inclusive to everyone, regardless of their socio-economic status or geographic location.