Name: feeCOMPASS
Author: feeCOMPASS

Help Desk

Web and Video Conferencing

Customer Support

Business Intelligence (BI)

Collaboration

Data Discovery and Visualization

Document Management

Enhanced 911 (E911)

File Sharing

Risk Management

Statistical Analysis

Enterprise

Accounting

Invoicing

Subscription Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Diversity, Equity, and Inclusion (DEI)

HR Management

Payroll

Recruitment Agency

Recruitment Automation

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Storage

Data Lakehouse

Data Mapping

Firewall Security Management

Fraud Detection

IP Address Management (IPAM)

In-Memory Databases

Incident Response

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Log Management

Managed IT Service

Network Performance Monitoring

Password Management System

Release Management

SOA Application Gateways

Web Portal

WiFi Hotspot

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Appointment Scheduling

Audio Editing

Content Management

Customer Reference Management

Email Marketing

Email Testing

Marketing Automation

Product Sampling

Retail Media Advertising

Social Media Management

Social Media Marketing

Survey & Forms Building

Web Analytics

Marketing

Field Service Management

Project Management

Professional Services

Customer Relationship Management (CRM)

Lead Generation Services

Lead-to-Account Matching and Routing

Multichannel Retail

Sales Coaching

Sales Gamification

Social Commerce

Sales

Architecture

InsurTech

Laboratory Information Management

Legal Billing

OSS/BSS (Operations Support/Business Support)

Oil and Gas

Real Estate

Vertical-Specific

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feeCOMPASS, developed by INNECT FEE COMPASS sp. z o.o., is a recommendation engine that aims to provide personalized product recommendations to customers in various sales channels. According to the vendor, feeCOMPASS utilizes automation and artificial intelligence to generate recommendations based on customer needs and preferences. The recommendation engine is designed to replicate the expertise of a human salesperson, but without the associated cost. It uses the existing product feed from the e-commerce system to generate these recommendations.

According to the vendor, feeCOMPASS offers the following key features:

**Recommendation engine**: feeCOMPASS utilizes automation and artificial intelligence to provide personalized product recommendations to customers in any sales channel. It aims to replicate the expertise of an experienced human salesperson, according to the vendor.

**Sales arguments**: feeCOMPASS provides personalized sales arguments for each recommended product, explaining why a specific product is recommended to a particular customer based on their needs and preferences. The vendor states that these sales arguments are designed to dispel doubts and assist customers in making informed purchase decisions.

**Sales chatbot**: feeCOMPASS offers a sales chatbot interface that is available on various platforms, including Creamy Messenger. According to the vendor, the chatbot interacts with customers, asking about their needs and preferences, and provides recommendations based on their responses. It can suggest the most suitable products or a set of complementary products to the customer, while also explaining why the recommended products are the ideal choice.

**Our better AI**: feeCOMPASS combines the advantages of an experienced shop assistant with the automatic recommendations provided by AI solutions. The vendor claims that it uses information about the customer's needs and preferences, expressed in non-specialist language, to create personalized rankings. The intelligent algorithm used by feeCOMPASS is based on knowledge acquired from expert salespeople, according to the vendor.

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feeCOMPASS

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What is feeCOMPASS?