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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

IMN is a tailored AI-powered external business intelligence platform aimed at streamlining the processes of market, competitor, and macro research while offering deeply relevant, context-sensitive insights and strategic counsel. Acting as a “prompt-free” intelligence engine, it replaces traditional manual research by perpetually analyzing millions of global data points, such as news articles, case studies, regulations, competitor movements, and overarching trends, all while customizing results to fit the user's unique objectives, role, and context. The platform enhances its learning from user input during initial setup and continuously hones its outputs, guaranteeing that insights stay relevant as priorities shift and extraneous information is filtered out. Additionally, IMN autonomously produces succinct, organized briefings that encapsulate essential developments and furnish actionable suggestions, allowing users to swiftly transition from data acquisition to informed decision-making without the need for extensive analysis. This efficiency not only saves time but also empowers users to remain agile in a rapidly changing business 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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Google Cloud Platform Yes 
Microsoft Excel No 
OpenAI Yes 

Integrations

Google Cloud Platform No 
Microsoft Excel Yes 
OpenAI No 

Pricing Details

$29 per month
Free Trial No 
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 No 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

IMN

Country

United States

Website

www.myimn.com

Vendor Details

Company Name

acto

Country

Germany

Website

www.heyacto.com

Product Features

Competitive Intelligence

Alerts/Notifications No 
Benchmarking No 
Competing Product Analysis No 
Keyword Tracking No 
Social Media Monitoring No 
Trend Analysis No 
Website Monitoring No 

Decision Support

Application Development No 
Budgeting & Forecasting No 
Data Analysis No 
Decision Tree Analysis No 
Monte Carlo Simulation No 
Performance Metrics No 
Rules-Based Workflow No 
Sensitivity Analysis No 
Thematic Mapping No 
Version Control No 

Product Features

Decision Support

Application Development No 
Budgeting & Forecasting No 
Data Analysis No 
Decision Tree Analysis No 
Monte Carlo Simulation No 
Performance Metrics No 
Rules-Based Workflow No 
Sensitivity Analysis No 
Thematic Mapping No 
Version Control No 

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