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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Lambda Lab is a cloud-based supply chain design and optimization platform built to help organizations improve logistics, routing, inventory, and network planning decisions. The software uses AI-driven insights to support strategic and tactical planning across complex supply chain environments. Businesses can use Lambda Lab to evaluate distribution center locations, optimize transportation routes, model inventory allocations, and analyze the impact of demand shifts or supply disruptions. The platform is designed for flexibility, offering SaaS access, pay-as-you-go pricing, automatic upgrades, and scalable cloud computing resources. Lambda Lab also supports parcel network optimization by allowing users to ingest actual parcel rate contracts and simulate e-commerce delivery flows. Its sustainability features help organizations evaluate carbon reduction strategies while balancing cost and service performance. Collaboration tools allow teams and stakeholders to work together with permissions-based access in a shared environment. Built-in safeguards and validation checks help reduce modeling errors and improve confidence in planning results. Lambda Lab gives companies a modern way to design, test, and optimize supply chain networks with greater speed and accuracy.

Description

SOVY is an integrated solution specifically crafted to optimize logistics operations across various business sizes. Whether for small to medium enterprises or larger organizations with multiple branches, its enterprise architecture is tailored to cater to the unique demands of this multifaceted sector. The cloud-based framework ensures accessibility from any global location, fostering a productive and efficient work environment. Additionally, SOVY's specialized design encompasses a range of features essential for managing complex logistics operations, including customer and vendor rate management, asset oversight, logistics process automation, as well as accounting and financial management tailored for the ever-evolving logistics landscape. Its complementary tools, such as dashboards and business intelligence capabilities, further empower organizations by streamlining decision-making, enhancing communication, and boosting competitive advantage, ultimately positioning them for success in a dynamic marketplace. With its comprehensive approach, SOVY stands out as a pivotal resource for logistics professionals looking to thrive in today’s fast-paced environment.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Lambda Supply Chain

Founded

2021

Country

United States

Website

www.lambdasupplychain.com

Vendor Details

Company Name

NM Sovy Technology

Founded

2012

Country

Malaysia

Website

www.sovy.com.my/

Product Features

Product Features

Logistics

3PL Yes 
Barcoding / RFID No 
CRM No 
Container Tracking Yes 
Cross Docking No 
Fleet Management No 
Inventory Management Yes 
Order Management Yes 
Purchasing Yes 
Scheduling Yes 
Shipping Management Yes 
Transportation Management Yes 

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