CHALLENGES IN MODERN LOGISTICS & WAREHOUSING
Navigating routes as well as data inconsistencies
Demand volatility
Customer behavior is unpredictable; And, there are seasonality and trends, which challenge them to maintain ideal inventory levels, while catering to unforeseen demands.
Real-time data integration
Need to go eco-friendly
Cost management
Inaccurate forecasting
End-to-end logistics analytics solutions
Optimize everything - batch, fleet & logistics operations
Warehouse slotting
Maintain your warehouse slots like well-organized wardrobes. Receive real-time slotting & re-slotting instructions on what to keep, where, and how much for optimized storage and efficient labor movement. An optimized placement suggestion for your warehouse goods, based on order frequency, storage requirements, and other product constraints.
We can help you design AI-based slotting models that suit your picking policies, handle any capacity or product ranges, and cater to special storage requirements. This solution could reduce labor movement up to 15%, creating a direct impact on worker productivity and pick and pack speed.
CUSTOMER SPOTLIGHT
Success stories from businesses like you
Optimizing the picking process using an AI-based slotting engine
15%
Reduction in physical labor
Identifying a near-optimal way to slot SKUs in a warehouse to minimize the picking process and labor movement and thereby costs.
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Enhancing business intelligence for a logistics company
10x
Fast database performance & data availability
15%
High employee efficiency & productivity
Enabling near real-time data analysis, automating the ETL process with audit and error tracking, and providing a detailed dashboard.
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Got questions? We got you covered.
What is logistics planning in AI?
Logistics planning in AI is used to make the packing, storage, and fleet management processes better with the help of AI-driven inferences. Example: Optimizing delivery routes for fast delivery and cost savings. Or stocking inventory based on future demands - few logistics use cases where AI can help.
How to use AI in supply chain?
AI in supply chain is used to bring real-time visibility into shipments, enable smart fleet management, and make other process optimization. This helps logistics companies save time and money, while reaching destinations faster.
What is route optimization in logistics?
Route optimization in logistics with AI can be done to create better itineraries for fleet operators - helping them find the best routes between two destinations that’s fuel-efficient, facilitates fast movement, and allows multiple delivery to happen concurrently.
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