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What is Yobi?

Yobi seeks to simplify the intricate dynamics of the cannabis industry by streamlining its multifaceted business landscape. Our user-friendly, cutting-edge software automates and optimizes inventory management throughout every phase—cultivation, processing, manufacturing, and retail—which enables licensed operators to grow their enterprises while easing the challenges of regulatory compliance and customer relationship management (CRM). Sales information is seamlessly sent to the METRC compliance API in real-time, thus removing the tedious need to manually export and import data into METRC's platform. Furthermore, Yobi efficiently auto-populates purchase orders with appropriate package and quantity details derived from approved transfer manifests using METRC's API. During the reconciliation of cannabis and non-cannabis inventory, any changes made within Yobi will be duly updated in METRC if the item possesses a valid package or plant tag and is under state supervision. Yobi guarantees that your data remains synchronized across all devices, offering real-time updates as modifications occur, ensuring you and your team are consistently aware of the latest developments. By harnessing innovative technology, Yobi not only simplifies operational tasks but also empowers businesses to concentrate on their growth trajectory while remaining compliant with industry regulations. Ultimately, Yobi acts as a vital partner in navigating the complexities of the cannabis market successfully.

What is Confident Cannabis?

We provide specialized wholesale cannabis solutions and a robust lab testing software designed specifically for the cannabis industry. This all-in-one platform meets all your laboratory needs in one convenient place. You can seamlessly place orders, retrieve results, share them with clients, and track your data trends over time. Moreover, you can monitor real-time inventory levels across various retailers that stock your products. Setting up automated alerts based on inventory thresholds keeps your customers updated through an online menu that refreshes automatically in accordance with your lab samples. By facilitating data sharing with your established suppliers, you reduce the necessity for constant communication regarding sales and inventory updates, thus simplifying the reordering process to ensure your shelves are always well-stocked with the right amount of products. More laboratories nationwide choose Confident Cannabis over any other lab information management system (LIMS) because it is uniquely tailored to the cannabis industry. Our centralized dashboard enables you to easily manage orders, notify clients, and analyze your results as they develop. This innovative system not only boosts operational efficiency but also equips businesses with the tools to make informed decisions based on precise data analysis. In an ever-evolving market, having access to accurate, real-time information is invaluable for maintaining a competitive edge.

Media

Media

Integrations Supported

Azure Marketplace
Nekton.ai

Integrations Supported

Acumatica Cloud ERP
BioTrack
CGM LABDAQ
CODESOFT
Canix
Element LIMS
LabWare LIMS
Leaf Data Systems
MaxQ Advanced Revenue Management (ARM)
QuickBooks Online
QuickBooks Online Advanced
Sample Master
metrc

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Yobi

Date Founded

2016

Company Location

United States

Company Website

getyobi.com

Company Facts

Organization Name

Confident Cannabis

Date Founded

2018

Company Location

Canada

Company Website

confidentcannabis.com

Categories and Features

Cannabis

Not specified

Categories and Features

Cannabis

Not specified

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