Minimize Travel Within The Four Walls
Upto $250K* in cost savings at Distribution, Crossdock, and Transload facilities

* see live use case for details

Smart Dock Platform

Realtime Travel Optimization For Pick and Putaway Operations

Randomly selected dock doors can result in upto 20% of wasted travel for IB and OB loads. Blip AI's Smart Dock platform works with your WMS to identify the best door for every shipment

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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

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

Evaluate Your Savings Potential Upfront

Learn How

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

Test

WMS platforms (e.g. Manhattan) maintain real-time view of the inventory in the WH. Pick plans are generated based on this information. On-demand availability of this data is the key for BlipAI's optimizer to deliver timely results

Business Insights

Management dashboard shows actionable key metrics including dock occupancy times, average unrealized savings and dock heat maps that can provide insights into slotting and distribution of the inventory

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Minimize Travel Within The Four Walls Upto $250K* in cost savings at Distribution, Crossdock, and Transload facilities