Minimize Travel Within Four Walls
Warehouse
Distribution Center
Transload Facility
Best Dock Door For Every Outbound, Inbound & Crossdock Loads
Embedded Files
Minimize Travel Within Four Walls
Smart Dock
Realtime Travel Optimization For MHEs
Distance optimization in a large warehouses is a computationally intensive problem. BlipAI's SaaS platform uses cloud based machine learning (ML) and artificial intelligence (AI) to optimize travel in real-time within your DC and crossdock facilities
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Slash Travel By Over 5%
Travel related to picking and putaway accounts for over 30% of WHSE labor cost. Reduce costs with AI based distance optimization
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More Loads Per Day
Realize higher throughput with faster dock cycle times and lower operating costs (MHE Uptime, Labor hours, Fuel)
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Supercharged WMS
BlipAI works with your existing WMS to inspect pick or putaway tasks and instantly calculate the optimal dock door for each shipment
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No Setup Costs
No on-premises software / hardware. Get started in just a few days with under $3 per shipment to find optimal dock doors.
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Instant Savings
Start realizing saving right from the first optimized shipment. Our customers have realized 3% to 5% reduction in operational costs related to picking or putaway
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Multipurpose
Optimization can be applied to several logistics operations including inbound, outbound, crossdocking, and transloading
Architecture
BlipAI's architecture is abstracted into tiers to allow for rapid prototyping of solutions. This eliminates upfront engagement costs and commitments. As prototypes mature and are introduced into production all Blip services are designed to elastically provision more resources or scale them down based on demand.
Microservices
A new web based solution can be disruptive to your organization's current XL based workflows. Migrating to a new app, training warehouse staff etc. costs significant time and money. Blip's microservices solve this problem by bringing the answers directly into your spreadsheets with simple and well defined APIs. See an example
Role of ML and AI in Optimization
Hardware / robotic solutions to eliminate dependency on labor are cap-ex intensive and take many years to achieve ROI. AI and ML based technologies are evolving rapidly and can quickly delivery cost benefits with innovative, efficient, and cost effective software models. BlipAI's optimizer is configured to use the proprietary learning algorithms which analyze the CAD layout and the picking or put-away plan for shipments. An average of 10 million route combinations for each shipment are considered to find the best possible dock door (least distance traveled) based on the real time dock door availability
Contact Us For A Demo
Contact us to learn more about real world savings potential at your DCs - hello@blipai.com
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