Case Studies
Explore real-world examples of how Appenue AI has driven measurable results for businesses across industries.
AI Implementation for Healthcare Customer Success
We implemented an AI-driven chatbot for a healthcare provider struggling with manual scheduling. The solution reduced scheduling effort by 75%, increased profits by 21%, and achieved NPS scores of 9 from 75% of clients.
Key Results:
- •75% reduction in manual scheduling
- •21% profit increase in 12 weeks
- •NPS of 9 from 75% of clients
- •Wait time reduced from 120+ to 30 minutes
AI-Driven Revenue Growth in Retail
We helped a leading organic supermarket chain overcome inventory and revenue challenges, resulting in a 15% revenue increase, 8% larger basket sizes, 30% less inventory depreciation, and 20% improved customer retention.
Key Results:
- •15% revenue increase in six months
- •8% boost in average basket size
- •30% reduction in inventory depreciation
- •20% improvement in customer retention
Transforming Creative Workflows
An innovative creative agency overcame bottlenecks by integrating our AI-driven tools-resulting in a 25% surge in overall output and a significant boost in team autonomy and leadership focus.
Key Results:
- •25% increase in creative output
- •70% reduction in administrative tasks
- •Improved team collaboration across departments
- •Enhanced quality control processes
Revolutionising Sales Processes
We implemented a bespoke AI chatbot and predictive analytics solution that reduced manual scheduling by 75%, enhanced CRM insights, and led to improved customer satisfaction and revenue growth.
Key Results:
- •75% reduction in manual scheduling
- •42% increase in qualified leads
- •22% higher conversion rates
- •Improved customer satisfaction scores
AI-Powered Manufacturing Optimization
We deployed predictive maintenance, workforce optimization, and white-label strategy AI to transform a struggling manufacturing facility into a lean, profitable enterprise.
Key Results:
- •35% reduction in downtime
- •40% decrease in hidden unemployment
- •20% reduction in cost per unit
- •30% increase in profit margins
Fixing Time with AI
We combined lean fulfilment, ML demand forecasting, and dynamic replenishment to unlock €2.1M in dead stock, recover 23% margin, and cut average fulfilment time by 38% in 90 days for an independent timepiece manufacturer.
Key Results:
- •38% faster fulfilment (11.2 → 6.9 days)
- •23% margin recovered in 90 days
- •€2.1M dead stock unlocked
- •97.3% inventory accuracy (from ~72%)
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