Highly automated companies are 6x more likely to see significant revenue growth

We created an AI-based chatbot to analyse real-time data from short mood surveys sent out every fortnight. The predictive system identified employees at risk of burnout based on analysis of absence, productivity and overtime.

• Turnover in the company fell by 25% due to the rapid identification of problems and taking action.
• The predictive system allowed rapid response, which prevented professional burnout of key team members.

We have implemented an AI-supported system that analyses employee performance data, such as KPI fulfilment, project quality or customer feedback. This system automatically generates objective evaluations, presenting the results in the form of visual reports.

• The subjectivity of evaluations has been eliminated.
• The reports have made it easier for managers to spot talent among the team.
• Automation of the evaluation process has saved 40% of the HR department's time.

We created an automatic costing module that integrates WMS and TMS, generating clear invoices based on real-time data.

• Reduction in complaints by 75%.
• Increase in efficiency by 20%.
• Savings of 9 000 € per month.

We have implemented a system for collecting customer pains and needs, which collects basic data and then automatically triggers the approval process for a given request. This has created a database that salespeople use when meeting with customers.

• Thanks to the integration with the CRM, salespeople receive prompts for cross-sell opportunities during calls.
• The implementation of the system has increased the cross-sell frequency by 80%.
• The entire solution is also designed in a mobile version to be easily accessible to employees.

We analysed the possible sources and means by which leads reached the company (e.g. Google Ads, MetaAds, ColdCall CRM) and then implemented a marketing and sales dashboard summarising the work of both departments.

• Collecting all data in one place has reduced the time spent analysing sales results. 
• Filtering by campaign, makes it easy to assess which marketing channels are worth investing in and which are loss-making.

We implemented automation using a VoIP tool for cold calling and SMS dispatch, and then integrated the resulting system with the client's CRM. We also added automated transcriptions and call summaries and even sentiment analysis.

• With AI audio transcription and automatic summaries, the sales department saves time that would have been spent listening to calls.
• The system has a built-in panel with call prompts, making the caller's job easier.
• If the caller encounters a problem, he or she can send a notification to the sales department asking for help.

We provided the client with all the missing functionalities and then attached the OWASP automated security monitoring. In the event of a threat, the automation alerted the relevant cyber security officers.

• Automated monitoring has reduced work in the IT department by 20%. 
• The speed of response to errors increased threefold. 
• Thanks to the rapid implementation of new functionalities, customer satisfaction has increased.

We have implemented an AI-supported analytical tool that monitors employee tasks in real time. The system collects data on the time spent on various projects, the number of tasks completed and their complexity.

• Managers now receive detailed reports and visualisations to help them distribute tasks evenly.
• The system has enabled sub-optimal processes to be identified and eliminated, which has increased team efficiency by 25%.

We have implemented an automation that checks the availability of products in reseller shops, whereby the catalogue prompts the user for shops that have the product in stock.

• The manufacturer's resellers gained another sales channel.
• Shortening the user path increased product sales.
• Customer service work was accelerated by 70%.

We created the CRM using no/low-code technology, so that the client received a customised solution in a short time. Currently, all enquiries are saved and handled in the CRM, and only after conversion are they sent to Baselinker.

• Increase conversions by 23% by implementing automation in sales funnel handling (integration with CRM, implementation of reminder system).
• Reduction in customer service time by 37% (implementation of desktop/mobile support, generation of automatic call summaries using AI).

We moved all the data to Airtable, which enabled real-time dashboard generation, and additionally implemented AI to analyse survey results.

• We created an interface dedicated to managers, which gave them a clear view of the data.
• Analysing survey results accelerated by 80%.

The automation of the recording of goods movements and the integration of the WMS with the sales department have allowed a significant reduction in errors and accelerated the entire process.

• Reduction of errors in dispatched orders by 80%.
• Reduction of document processing time by 70%.
• Elimination of delays and financial penalties.

We integrated all the tools used by the company to handle leads (messenger, email, social media) in such a way that the entire process could be gone through from a single application.

• Lead handling has been accelerated by 80%.
• Customers receive a response in up to 2 h.
• Instead of regular status meetings, salespeople receive daily summary notifications.

We mapped the customer's sales process and then simplified the tool's views for each individual using the CRM, adjusted sales funnels and introduced lead data validation.

• Only 20% of the budget set aside to replace it with the new tool was used to adapt the current CRM.
• In addition, automation eliminated the need to manually generate financial reports.

We implemented the automation of the publication of listings on multiple channels by marketplace and language (including Amazon), which sped up the process and significantly reduced the cost.

• Automatic generation of product descriptions.
• Automatic AI translations.
• Automatic updating of Amazon listings.