We use cookies to provide you with a better experience. By continuing to browse the site you are agreeing to our use of cookies in accordance with our Cookie Policy.
  • INDUSTRY PRESS ROOM
  • SUBMISSIONS
  • MEDIA FILE
  • Create Account
  • Sign In
  • Sign Out
  • My Account
Free Newsletters
  • MAGAZINE
    • Current Issue
    • Archives
    • Digital Edition
    • Subscribe
    • Newsletters
  • STRATEGY
  • GLOBAL
  • LOGISTICS
  • MANUFACTURING
  • PROCUREMENT
  • VIDEO
    • News & Exclusives
    • Viewer Contributed
    • CSCMP EDGE 2022 Startup Alley
    • Upload your video
  • PODCAST ETC
    • Podcast
    • White Papers
    • Webcasts
    • Events
    • Blogs
      • Reflections
      • SCQ Forum
    • Mobile Apps
  • MAGAZINE
    • Current Issue
    • Archives
    • Digital Edition
    • Subscribe
    • Newsletters
  • STRATEGY
  • GLOBAL
  • LOGISTICS
  • MANUFACTURING
  • PROCUREMENT
  • VIDEO
    • News & Exclusives
    • Viewer Contributed
    • CSCMP EDGE 2022 Startup Alley
    • Upload your video
  • PODCAST ETC
    • Podcast
    • White Papers
    • Webcasts
    • Events
    • Blogs
      • Reflections
      • SCQ Forum
    • Mobile Apps
Home » AutoScheduler Introduces Make-n-Ship Warehouse Optimization Platform
Press releases are provided by companies as is and have not been edited or checked for accuracy. Any queries should be directed to the company issuing the release.

Upload your press release

AutoScheduler Introduces Make-n-Ship Warehouse Optimization Platform

AutoScheduler Introduces Make-n-Ship Warehouse Optimization Platform
February 21, 2023
No Comments

Austin, TX - (February 21, 2023) –Today, at the Retailers International Leaders Association (RILA), AutoScheduler.AI, an innovative Warehouse Management System (WMS) accelerator, introduces the Make-n-Ship warehouse optimization platform that optimizes loading products straight off the production line to better orchestrate production, warehousing, and transportation plans. Moving production runs directly to a truck eliminates touches, helps with labor shortages and reduces the need for storage space in a warehouse or distribution center located at the manufacturing site.

“Most WMS can’t efficiently handle products coming directly from the production line to a truck at the dock because of a mismatch between pre-built stock transfer orders and what gets produced, causing trucks to remain idling at the dock waiting to be filled,” says Keith Moore, CEO, AutoScheduler.AI. “Without the buffer of the warehouse storage, companies struggle to have a ready supply of trailers that match the production output. Make-n-Ship will handle the movement of products directly from production to various deployment destinations.”

Make-n-Ship:

● Creates transportation requirements days in advance so “best cost carriers” can be engaged.
● Reschedules transportation as production changes, aiming to match production schedules.
● Creates and transmits a recommended transportation plan.
● Updates hourly on the need and timing of trailers and inventory.
● Issues alerts, using the latest data and trailer availability to relay such warnings, as there will be a trailer shortage in two days.
● Updates a real-time deployment module to reflect the latest decisions on where to shift or store inventory.

Clients using Make-n-Ship have been able to free up 10% more space capacity, reduce production planning loads by 33%, increase floor productivity by 8%, increase container fill by 2%, and increase service levels by 4%.

AutoScheduler will be introducing Make-n-Ship at RILA in Booth 2129.

About AutoScheduler.AI
AutoScheduler.AI creates dynamic warehouse plans directly injected into the WMS to optimize activities based on constraints, ensuring sites run optimally at peak performance. Our intuitive AI and Machine Learning platform, developed with P&G and implemented at P&G, Unilever, General Mills, and others, streamlines operations by seamlessly integrating with existing WMS & ERP. We provide dynamic dock scheduling, labor level-loading, inventory balancing, proactive cross-docking, redundant workforce elimination, and more. Clients benefit from prescriptive analytics to drive efficiencies and create value in the supply chain. For more information, email info@autoscheduler.ai.

http://www.autoscheduler.ai
Submit your logistics, material handling, or supply chain related company news in Supply Chain Quarterly's's Industry Press Room section or New Products section
Manufacturing Warehousing
KEYWORDS AutoScheduler.AI
  • Related Articles

    Optym Introduces HaulSuite – a Portfolio of AI-Enabled Optimization Solutions for LTL Carriers

    AutoScheduler to Showcase the “Warehouse on AutoPilot” in Spring Line Up of Conferences

    LLamasoft Launches AI-Powered Enterprise Platform to Enable Companies to Make Smarter Decisions

You must login or register in order to post a comment.

Report Abusive Comment

Most Popular Articles

  • Survey: parcel delivery drivers are frustrated by using their own smartphones for work

  • Survey: most Americans unaware that truckers face shortage of parking spaces

  • Best practices in logistics sustainability

  • Supply chain executives not yet seeing expected results from technology investments

  • Postal Service plans to seize items mailed with fake stamps

Featured Video

20221107korber large vs

Enhancing Customer Experience with Your Supply Chain Strategy

Viewer Contributed
With the rise of e-commerce, many businesses have had to transform their warehouses to handle online orders in addition to regularly scheduled inventory shipments. This means warehouses need more information than ever before to ensure they can meet customers' needs. As a result, companies need to select warehouse...

FEATURED WHITE PAPERS

  • Five tips for parcel success in 2023

  • Guide to Pallet Rack Safety

  • 3PLs: Complete Orders Faster with Flexible Automation

  • A shipper's guide to navigating post-pandemic holiday freight

View More

Subscribe to Supply Chain Quarterly

Get Your Subscription
  • SUBSCRIBE
  • E-NEWSLETTERS
  • ADVERTISING
  • CUSTOMER CARE
  • CONTACT
  • ABOUT
  • STAFF
  • PRIVACY POLICY

Copyright ©2023. All Rights ReservedDesign, CMS, Hosting & Web Development :: ePublishing