GINUS

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Bonn
,
Germany
https://ginus.ai/

Ginus is your personal supply chain A.I. consultant, helping you keep the supply chain healthy, optimized, resilient & efficient, faster than your competition. An A.I. based SaaS aiming to be the ChatGPT of the Supply Chain Industry... supporting all levels of logisticians and supply chain professionals to keep their operations optimal.

Active
Active
Active
Other
General Information
Status
Active
City (Headquarter)
Bonn
Country
Germany
FTE’s
7
Employees
Founding Date
2/10/2017
Funding ($)
$
0
Phone
+49 (0) 171-949 8015
Contact Email
leonidas.fotiou@scrmcentre.com
Founder
Founders
Status
Active
City (Headquarter)
Bonn
Country
Germany
FTE’s
xxx
Employees
Funding ($)
$
xxxxxxx
Phone
xxxxxxxx
Founder
Founders
For more details on this startup, you must register for a startup base account
Status
Active
City (Headquarter)
Bonn
Country
Germany
FTE’s
xxx
Employees
Funding ($)
$
xxxxxxx
Phone
xxxxxxxx
Founder
Founders
For more details on this startup,
you must upgrade your account.
Techsegment
Artificial Intelligence
Machine Learning
IoT
Big Data
Market Sub-Segment
Intralogistics
Fleet Management
Freight & Shipping
Manufacturing
Planning
Supplier Management
Supply Chain Visibility
Sustainability
Transportation
Warehousing
Sustainability Sub-Segment
Emission Reduction
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Techsegment
xxxxxx
Sustainability Sub-Segment
xxxxxx
Market Sub-Segment
xxxxxx
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you must upgrade your account.
Techsegment
xxxxxx
Sustainability Sub-Segment
xxxxxx
Market Sub-Segment
xxxxxx
Description
Our current portfolio includes a range of automated or semi-automated - Passive Data Integration - Dynamic & Live Data Processing - Data harmonization, cleansing, and enrichment - Center-Of-Gravity (CoG) - Location Selection Optimization (factoring geolocation info e.g. sqm rental costs, avg salaries, population etc.) In addition below services are work in progress: - Transport Lane Analysis - Network Health Check - Routing Optimization based on a) current orders, b) historic order profile, c) Carrier Selection - End-to-end Network Modeling - Tendering (RFQs on transport lanes & warehousing)
Company USP
A. Data processing & cleansing "on the fly" B. 95% reduction on project lead times C. 80% reduction on supply chain consulting fees D. End-to-end supply chain dynamic modeling & optimization!!! E. Common place to safely share data with Consultants
Problems Solved
1. Average to low logistics data quality 2. Long project lead times to model networks & optimize them 3. Expensive external consultants 4. Disconnected supply chain stakeholders
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Description

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Company USP

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Description

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Company USP

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Business Model
B2B Marketplace
B2B Service
Target Customers
- Vice presidents/Directors who look to keep their supply chains optimized and reduce their consulting budgets - Managers/Analysts who develop what-if scenarios - Transport/Warehousing/3PL Managers who want to keep their operations efficient - Consultants who want to save time and add more value to their clients faster!
Reference Customers
Operating Geographies
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Business Model
xxxxxx
Target Customers
xxxxxx
Reference Customers
xxxxxx
Operating Geographies
xxxxxx
For more details on this startup,
you must upgrade your account.
Business Model
xxxxxx
Target Customers
xxxxxx
Reference Customers
xxxxxx
Operating Geographies
xxxxxx
Attachments
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Attachments
lorem-ipsum.pdf
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Attachments
lorem-ipsum.pdf

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