Artificial Intelligence
Our Partner WE CONNECT AI covers the following AI use cases which we will integrate into your existing systems.
iQuantis services are structured around software implementation, custom software development, and low code solutions. On the implementation side, iQuantis focusses on FlowCentric Processware, the Terra.Earth Metaverse (Builder) and NEOS CMS. On the custom side anything goes with our focus being web-based platforms and applications. The low code side combines near shoring cost advantages with the speed and savings potential of enterprise low code solutions. All these services require planning, project management, testing, reviewing, deployment, and maintenance. No matter if a project is run in waterfall or scrum, communications is the key to meeting and exceeding your expectations.
Our growing team of developers covers a wide range of coding languages and
frameworks.
We custom develop web portals, applications, and software based on your specific requirements.
We implement the FlowCentric Processware BPM, the NEOS Content Management System, and several e-commerce solutions.
We connect your existing and third-party systems. We build integration layers with FlowCentric BPM. We integrate with the metaverse Terra.Earth.
FlowCentric allows us to build process driven applications through low code and build Robotic Process Automation (RPA).
We believe in long-term relationships. Relationship building requires effort. That's why we see support as an investment in you.
When you decide working with a new software development company you are investing time and effort to get the collaboration started. You want to ensure that this time the software development agency is in for the long run and that it is worth kick-starting a new partnership. You are basically evaluating the sustainability of such a collaboration. We share that view on sustainable partnerships and long-term collaboration because for us too it is an investment to building relationships and getting started with a new client. Once, everything is in place we are in the same boat with you going the extra mile to meet and exceed your expectations.
Services Experience
Satisfied Clients
Combined team experience
Lines of clean code written
Artificial Intelligence
Problem
- Competitors leave fake reviews to gain a competitive advantage.
Reason
- Not possible to track all reviews in real time
- Loss of customers in case of too many bad product reviews.
Solution
- Software plugin that detects fake reviews and warns customers or deletes these comments right away.
Added value
- Higher conversion
- More customer satisfaction
- Higher safety
Problem
- Low conversion despite high number of web store visits.
- High cost per visit, no repeat purchases from existing customers.
Reason
- No information about behavior of customers.
- Or: Too much information for manual analysis.
Solution
- Tracking plugin on your web shop that detects behavioral patterns and gives accurate analysis including
recommended actions per customer.
- Automated targeted mails after purchase for other products.
Added value
- Increased conversion
- Resource savings through automation
- Higher customer satisfaction
Problem
- Unpredictable terminations.
- Losing customers to competition.
- No chance of winning them back after termination.
Reason
- No direct correlation between customer history and customer terminations.
- Too many proactive mails to satisfied customers lead to disapproval.
Solution
- Create system that over time, recognizes patterns and sends alerts to responsible parties. Additional recommendation of actions. (Price reduction, other insurance, etc.)
Added value
- Proactive contact
- Stronger customer loyalty
- Fewer terminations
Problem
- Great effort to win new customers, but no possibility to propose additional products to existing customers.
- If a client receives too many offers there will be negative consequences to customer loyalty.
Reason
- No direct correlation between customer data and products.
- Checking all data manually is not feasible.
Solution
- Data analysis program to uncover all links between customer data and e.g. insurance claims.
Added value
- Drafting demand-oriented quotes
- Higher conversion
- Higher return per customer
Problem
- Quality issues in production are detected too late or not at all and cause damage.
Reason
- Testing of all parts is too time consuming
- No guarantee given for quality assurance.
Solution
- Quality detection through an intelligent camera system.
- Monitoring of the production process and parts to be assembled.
- Immediate warning in case of non-compliance with quality standards.
Added value
- Higher quality
- Reduced cost in quality control
Problem
- Machine failures in production are detected too late and cause production stops.
Reason
- Missing parameters when failures can occur.
- Data structure is too dense for humans to recognize patterns.
Solution
- Prediction-based maintenance cycles, which detect even the smallest patterns immediately before failures and sends alerts to the maintenance team.
Added value
- Less downtime
- Smaller spare parts warehouse
- Value-added security
- Minimization of further damage
Problem
- Large number of existing customers, but also large number of terminations.
- Company has no possibility to actively prevent terminations.
Reason
- Root cause of termination not visible.
- Customer dissatisfaction due to not receiving the right care.
Solution
- Classify customers into satisfaction classes and rank them according to probabilities for cancellation. Propose individual standard mails/posts to convince customers to stay.
Added value
- Fewer terminations
- Increased customer satisfaction
Problem
- Uncertainty about market development and future demand and thus difficulty in resource planning. This results in excessively high or low inventories.
Reason
- No forecast possible with existing indicators.
- Pandemic data destroys previous forecasting models.
Solution
- Trend analysis of demand over the next few months using a forecasting model that incorporates a large number of internal and external indicators into the calculation.
Added value
- Planning reliability
- More efficient inventories
Problem
- High staffing levels in customer service.
Reason
- More traffic to websites and an increasing number of customer interactions leads to growth in service staff.
Solution
- Customer interaction and answering simple queries can besupported by chatbots.
Added value
- Faster response
- Higher customer satisfaction
- Reduction in resources