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