STIHL

How we expanded data analytics and AI in the power tools industry

About STIHL

From pioneering chainsaws to AI-powered innovation

STIHL is an internationally leading group that develops, manufactures, and distributes outdoor power equipment for professionals and discerning consumers, in addition to offering digital solutions and services. The top-selling chainsaw brand since 1971, STIHL was founded in 1926 and is headquartered in Waiblingen near Stuttgart, Germany.

Having revolutionized work in the forestry sector with their chainsaws, STIHL has upheld its pioneering spirit and continued creating and implementing future-oriented innovations, such as battery technology, digital solutions, robotics, and artificial intelligence.
STIHL products are sold to end users through STIHL authorized servicing dealers and STIHL’s own online stores, which will be expanded internationally over the next few years.

In addition to its headquarters, STIHL's operations are also bolstered by its extensive sales and distribution network, which includes 6 manufacturing companies, 42 STIHL-owned sales & marketing companies worldwide, approximately 120 importers, and more than 55 thousand authorized service dealers.
STIHL is deeply rooted in tradition of high-quality hardware. And they are also excellent at innovating with data.

More about STIHL

Our approach

Driving data and AI excellence across STIHL’s core business functions

Delivering measurable AI impact

Implementation of 10+ business-oriented data analytics and artificial intelligence (AI) use cases.

Collaboration through agile execution

Cross-functional teams of STIHL and OMMAX experts jointly developed data solutions using Agile Scrum and Kanban methodologies.

Creating sustainable value through data

Achieved substantial efficiency gains across product portfolio management, sales, and service through data-driven decision-making.

The solution

Enhancing efficiency through AI-powered analytics

AI-based image recognition

Deployed an AI-based image recognition system that enables sales representatives to capture and analyze product information efficiently, providing actionable insights to enhance sales performance.

NLP algorithm for global support ticket prioritization and categorization

Implemented an advanced NLP (Natural Language Processing)-driven machine learning algorithm to automate the categorization and prioritization of service tickets, substantially reducing manual effort and improving scalability.

Process mining for support tickets

Created an automated dashboard for quality management that displays open support tickets and uses process mining to analyze ticket workflows and improve process efficiency.

Advanced product analytics and management dashboards

Interactive management dashboards integrating multiple data sources for real-time insights
Global support, product portfolio, and diagnostic system dashboards
Content creation, price-volume mix, and serialized product tracking tools
Unified design, usability, and security standards across all dashboards