A.I. Driven Solutions - Real World Case Study

1. A.I. Driven Forecasting, Managing, & Distributing

Problems:

  • Huge amount of online orders
  • Frequent urgent shipments
  • Constant labor shortage

Solutions:

  • Demand Forecast Analysis
    • Increase inbound/outbound shipment forecast accuracy from 75% to 95%
  • Picking Configuration System
    • Save 53% time and 71% distance
  • Route Planning System
    • Shorten order processing time
  • A.I. Picker (Digital Assistant)
    • Less time spent & less paper waste

2. A.I. Driven High-density High Speed Shuttle Rack System

Problems:

  • Labor shortage
  • Warehousing has been traditionally labor-intensive industry, estimated 50~70% labor; 60% time, 65% expense, and often marked by large error range, low efficiency.
  • Increased demand on shorter response time from retailers and consumers

Solutions:

  • A.I. High-density Warehouse/Inventory System
    • A.I. algorithm conducts complex network flow planning to improve the sorting speed on millions of items.
    • Allow products for the same order in different sorting areas (large & small cargo areas) to arrive at the shipping area at the same time

3. Cold Chain Tracking/Control System and Equipment

Distribution Tracking & Quality Management

Product Types/Temperature Traceability

Cooling Equipment Managing

Trucking Schedule Management

4. Cold Hold Items Temperature Control Tracking Platform

Problems:

  • Difficult to control temperature, frequent errors on temperature settings, poorly conditioned facilities, harmful environmental impact, cold-hold required temperature loss, and incomplete order processing
  • Cooling requirement of certain temperature for different products varies and it needs to be maintained systematically

Solutions:

  • 24/7 real-time temperature updates
  • Cold-Hold control in transit and storage
  • Immediate signal irregular condition
  • Sensor controlled tracking and warning
  • Instant information should error occurs
  • GPS signal tracking

5. High Speed Scanning for Measuring Size & Weight

Problems:

  • High cost of importing ready-to-use measuring device
  • Labor shortage
  • Using manual or semi-automatic measuring devices yields low efficiency, very time-consuming, labor-intensive and has large errors.

Solutions:

  • Instantly measure the volume and weight on a conveyor belt running at a high speed
    • Adopt image recognition (1st generation) and advanced linear optical sensing technology (2nd generation)
    • Record objects information and run computation
    • Meet the need of EC for rapid mass sorting/measurement
  • Give precise freight information and increase efficiency by 300%+

6. Intelligent AGV System for Open Space Warehouse

Problems:

  • Goods in logistics centers are often piled up and messy. It takes time to look for or sort goods.
  • The personnel need to confirm the distribution area of each item manually before sort out each item one by one.
  • It is difficult for Ground-type AGV to locate and carry goods.

Solutions:

  • Intelligent Automated Guided Vehicle (iAGV)
    • Adapt to temporary obstacles on the ground
    • Have a circulation engine that optimizes computation and avoid, which greatly improves efficiency
  • Ceiling Navigation System, the world’s first with global patent
    • Completed patent filing; win ICT Month Innovative Elite 2018

7. Platform & Stations Sharing

Problems:

  • With rapid growth of eCommerce and a low first-time delivery rate, 10% of home parcels based on 100,000/day, need second time delivery
  • Numerous incomplete deliveries due to various reasons
  • Temporary parking in populated area causes extra expenses due to parking tickets.

Solutions:

  • Shared Intelligent Pickup Service Platform across entire region
    • With 24hr service, intelligent pickup stations support businesses that close early
    • Promote the mix of pickup, sale, and display storage Introduce convenient shared sites among more communities
  • Reduce vehicle parking and delivery time and improve personnel and traffic safety
  • Increase the flexibility of delivery and billing

8. Routing & Scheduling

Problems:

  • Highly volatility of demand from downstream retailers
  • Various restrictions on delivery time
  • Frequent changes of delivery routes

Solutions:

  • Scheduling process is 65% shortened by using A.I. Driven Routing System (iRouting)
    • Complete distribution scheduling service – vehicle scheduling, route planning, scheduling for 10,000 delivery points
    • Shift the focus from driver experience to autonomous control
    • Balanced route/shipments/points, work and rest, legal working hours Improve the distribution efficiency by 20%
    • Reduce the delivery error from ±1 hour to ±10 minutes
    • Reduce costs by 30%+

9. Sharing Platform

Problems:

  • Supply and demand information is not transparent. Outbound vehicles are about 2/3 of inbound vehicles; the empty rate of returning vehicles is about 1/2; the average loading rate of shipments in some areas is low.
  • Unable to plan for re-schedule caused by often changed circumstances during weekends or holidays
  • Low and inconsistent investment in cold-hold transport and storage equipment

Solutions:

  • Urban Logistics Sharing Platform - Match supply and demand to improve resource utilization, efficiency increased by 20%
  • Systematically guiding logistic companies toward transportation equipment sharing
  • Integrate small and medium cargo carriers to improve the overall quality of cold chain logistics service
  • Instantly report on traffic status; increase the vehicle loading rate; reduce carbon emissions by 20% and logistics costs by 17%

10. Vertical Cross Belt Sorting System for Large Quantity Items

Problems:

  • Picking time accounts for 60% delivery time, and 70% of manpower
  • Lack of manpower, high error rate, low efficiency

Solutions:

  • Region’s first visually vertical Cross Belt Sorter
    • Have a distribution system with ultra-high speed, small occupancy, and high elasticity
  • Ergonomic Smart Automated Sorting
    • Create a good working environment and reduce turnover
    • Reduce the demand for labor by 65% from 70 hires down to 22
    • Significantly increasing the sorting speed from 3,600 pieces/hour to 12,000 pieces/hour

11. Voice Assistant

Problems:

  • Manually schedule and confirm distribution orders by workers’ often unreliable experience
  • Unplanned extra time spent during delivery
    • Repeated manual input of changed schedule due to traffic jams or other problems
    • Search maps or ask people for directions
    • 2nd-time distribution is time consuming.
  • Manually input confirmation and status after delivery

Solutions:

  • Daily vehicle scheduling time is reduced by 30 minutes.
  • Time to check the recipient address of a delivery is saved by 2 minutes. Given about 150 deliveries per day and 50% of the recipient addresses that are repeated or adjusted, 1~2 hours can be saved.
  • If the hourly salary is $20 per labor,$50 can be saved per day, total $ 12,500 can be saved for each labor hired per year , based on 250 working days a year.