Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Contextere's Madison is an advanced natural language processing platform powered by deep learning, designed to gather and organize data from various enterprise systems, sensors, and final-stage sources, transforming fragmented information into useful insights. Envision a scenario where employees can communicate directly with machinery regarding error messages, service notifications, live data streams, or historical performances. Tailored specifically for frontline workers in industrial environments, Madison equips blue-collar employees with the tools necessary to make crucial decisions that influence productivity, safety, and overall expenses. By extracting data from enterprise systems, IoT devices, and specific technical fields, Madison generates valuable operational insights that are delivered in real time to the end users who are engaged in the tactical execution of their tasks. The platform consists of two main software elements: an insight engine that serves as the core of the system, efficiently pulling in data from various enterprise, IoT, and technical sources. This innovative approach not only streamlines communication but also enhances decision-making processes, ultimately fostering a more efficient work environment.
Description
Sales teams in logistics and wholesale are experiencing significant growth due to the integration of decision intelligence and ERP automation. Sales managers at prominent B2B companies in the SME sector are turning to acto to streamline their operational processes. The B2B sales landscape is saturated with various sources of information and manual tasks stemming from ERP, CRM, BI, and Excel spreadsheets. In the absence of effective prioritization, a staggering 80% of valuable insights go unutilized, causing sales teams to miss out on vital opportunities, potential risks, and customer anomalies. This overwhelming influx of data leads to an incessant quest for accurate answers, leaving a large portion of crucial insights untapped. Additionally, the manual searches that sales teams engage in often result in repetitive tasks, such as drafting quotes, interacting with customers, and entering orders, which further compounds inefficiency. Consequently, the reliance on unused data and manual operations can diminish the time allocated to engage with key customers, ultimately costing businesses up to 15% in potential sales revenue. By leveraging AI-driven analyses and automating ERP processes, organizations can significantly boost their B2B sales efficiency. This transformation not only enhances productivity but also empowers sales teams to capitalize on the insights that truly matter.
API Access
Has API
API Access
Has API
Integrations
Microsoft Excel
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Contextere
Founded
2015
Country
Canada
Website
contextere.com/technology/
Vendor Details
Company Name
acto
Country
Germany
Website
www.heyacto.com
Product Features
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control
Product Features
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control