Selected work.

A 120-room hotel with 40 housekeeping staff was losing guests due to slow room turnover. Rooms weren't ready by check-in time, complaints were piling up, and the team was overwhelmed with manual coordination.

We mapped the entire housekeeping workflow — from checkout to clean room ready. Identified 3 major bottlenecks: room assignment delays, supply restocking gaps, and shift handoff inefficiencies. Redesigned the process with a digital task board, optimized staff routing by floor zones, and introduced a real-time status dashboard for supervisors.

Room turnover time dropped from 45 minutes to 31 minutes — a 31% efficiency increase. Guest satisfaction scores rose by 18 points. The hotel saved €42,000 annually in overtime costs.

A growing online fashion retailer was processing 500+ orders daily with a support team of just 3 people. 60% of all support tickets were repetitive — "Where is my order?", "How do I return?", "What's my size?". The team had no time for anything else.

We analyzed 3 months of support data and identified the top 10 recurring questions. Built a self-service portal with order tracking, automated return labels, and an AI chatbot trained on their specific product catalog. Integrated everything with their existing Shopify store.

Support ticket volume dropped 24% within 8 weeks. The team redirected 15 hours per week from repetitive tasks to proactive customer engagement. First-contact resolution rate improved from 45% to 78%.

A SaaS company with 15 employees and €2M ARR had a critical problem: the founder was the only one who knew where every deal stood. Sales reps couldn't forecast, the board had no visibility, and deals were slipping through the cracks because nothing was documented.

We audited their entire sales process and found that 40% of leads had no follow-up after the first call. We rebuilt their CRM pipeline with clear stages, automated follow-up triggers, and a weekly reporting cadence. Trained the team on the new process and set up a real-time dashboard for leadership.

Pipeline visibility went from 0% to 100%. The sales cycle shortened by 12 days on average. The board now gets a weekly snapshot without asking the founder. Revenue forecasting accuracy improved to ±8%.

A logistics company with 30 vehicles was struggling with delivery scheduling chaos. Customers waited up to 2 hours for deliveries, drivers were colliding on the same routes, and fuel costs were climbing. The founder was spending 3 hours a day just coordinating schedules on the phone.

We analyzed 6 months of delivery data and identified route overlaps, time-window inefficiencies, and driver utilization gaps. Implemented an intelligent scheduling algorithm that optimizes routes in real-time, balances driver workloads, and provides customers with accurate 30-minute delivery windows.

Average customer wait time dropped from 2 hours to 20 minutes. Fuel costs decreased by 18%. The founder reclaimed 3 hours per day. On-time delivery rate improved from 72% to 96%.