Supply Chain Technology Solutions
Build Resilient Supply Chain
Shape Your Supply Chain with AI and Data-Driven Practices to Predict Demand, Sense Changes, and Quickly Respond to Unplanned Events
Webinar On-Demand:
Identify and Discover Hidden Patterns in Demand Forecasting
Overcoming Supply Chain's Biggest Challenges
Understanding Customers
- No Visibility into Customers' Preferences
- Unable to Understand Buying Habits
Unoptimized Supply Chain
- Order Fulfillment and Promising
- Logistics Network – Track and Trace
Poor Overall Equipment Effectiveness (OEE)
- Inefficient Production and Unplanned Downtime
- High Inspection & Maintenance Costs
Upgrade to a Resilient, Connected & Sustainable Supply Chain
Demand Forecasting
Key Benefits
Reduce inventory carrying costs with improved stock management and forecasting of customer demands
Streamline production schedules, and expedite transfers and shipments for optimal distribution
Technical Capabilities
Data and AI for Accurate Store Inventory Management
By using predictive analytics and machine learning, retailers can understand customer behavior patterns in real time and take proactive steps to ensure optimal inventory levels. AI technologies help automate processes such as forecasting demand and identifying when an item needs to be restocked or removed from the shelves. By utilizing these tools, stores can quickly respond to changes in demand without overstocking or understocking their shelves, leading to improved profits and customer satisfaction.
Using AI and Data to Enhance Retail Logistics
By leveraging predictive analytics and machine learning models, businesses can proactively anticipate changes and make informed decisions and effectively manage their stock. Additionally, these processes can help automate transfer requests between stores in different locations, ensuring that any extra stock is moved to meet customer demand swiftly. This helps to avoid stock limitations as well as improves profits and customer satisfaction by delivering on time with the right product quantity.
Demand Forecasting Trends
Organizations experienced a 30% increase in optimized inventory through the use of a demand-driven supply chain.
70% of retailers indicate that AI and Machine Learning will be their top technology choices for forecasting and demand planning.
Inventory Optimization
Delivering the ability to analyze historical sales data, market trends, lead times, and supplier performance for accurate inventory forecasts and optimal inventory levels.
Providing valuable insights into inventory performance and identifying slow-moving or excess inventory.
Using the power of AI to improve supply chain efficiency, customer experience, and satisfaction.
Key Benefits
More accurate predictions of customer demand, allowing for efficient inventory planning
Increased visibility into supply chain processes for increased efficiencies
Reduced costs associated with unnecessary overstocking and deadstock
Technical Capability
AI/ML-based Inventory Management
Boost business resilience by quickly responding to disruptions and intelligently selecting alternatives for supply shortages.
Inventory Optimization Trends
60% of consumers are more likely to become repeat buyers after a personalized shopping experience with a retailer.
Using Big Data Analytics in the retail industry can increase operating margins by up to 60%.
57% of retailers use artificial intelligence (AI) to optimize inventory management.
Process and Workflow Automation
Make insightful & proactive business decisions based on critical data through AI and digitally sim