Case Studies from our Projects

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with: Leading machinery OEM

Performed detailed analysis of the existing handover process to identify inefficiencies, blockers and other weaknesses.
Expanded the incubator's area of responsibility through the conception and introduction of a new transition phase.
Ensured a structured and gradual integration of new business models into the Group with minimal distraction.
Minimized the financial risk of handover through flexible staffing while ensuring the availability of required expertise.

with: Leading construction machinery OEM

Analyzed the market, competition, start-ups and internal assets as a factual basis for recommended actions.
Involved customers and partners intensively in the development process to ensure maximum customer focus.
Identified potential fields with significant right to play based on valuable assets and current market conditions.
Developed digital business ideas in the respective potential fields and prioritized them according to clearly defined criteria.

with: Leading construction machinery OEM

Introduced customer-centred culture and agile mentality in the Group through targeted workshops.
Developed a clear concept for dealing with digital change.
Identified new business areas with high relevance and a high potential for the company.
Delivered prioritized and ready-to-implement business ideas with a clear action plan.

with: Giesecke + Devrient

Conceived, designed and built a complete IoT platform including business model and operator model.
Ensured successful knowledge transfer and development thanks to co-creation of G+D and Bitrock experts.
Reduced the risk of lacking market demand through early customer integration.
Installed the first version of the platform at customers after only 4 months.

with: Medium-sized lighting manufacturer

Defined the strategic positioning, business model and value proposition of the e-commerce platform.
Designed a tailor-made digital platform from ground up to ensure maximum consistency with the value proposition.
Set-up of the company, including contracts, terms and conditions and trademark registration.
Established a dedicated team including CEO, CMO and CTO.
Handed over operational management to the team.

with: CASALVA

Developed a deep-learning software for the recognition of semantics, material and damage size.
Established an extensive database for the recording and evaluation of damage (Big Data).
Tested MVPs with several major building insurance companies.
Constantly adapted the technology to customer requirements.

with: bfox.ch

Developed digital customer test samples and innovative demand checks to facilitate the individual analysis of demands.
Established a detailed product database for the Swiss market.
Developed an intelligent "matching algorithm" for identifying the best insurance products for customers.
Established an independent start-up including the operative team.
Established a multi-channel approach for an efficient consulting process.

with: Leading machinery OEM

Analyzed the existing product and business model and identified basic white spots.
Designed persona-specific sales and marketing strategies for the success of the SaaS solution.
Developed two business scenarios dependent on the use of financial and human resources.
Defined concrete product improvement proposals, such as the addition of a scalable onboarding process within the software.

with: Leading machinery OEM

Consolidated, structured and evaluated available (raw) data sets.
Defined a use case library with a total of 65 use cases and prioritized these according to nine criteria.
Designed processes and setups for the development and long-term maintenance of the data-based services.
Identified the required resources and skills for the implementation of data-based service solutions and matched them with a structured learning and development roadmap.

with: Giesecke + Devrient

Designed, developed and continuously optimized an AI algorithm based on a variety of data sources (historical, weather, social media, ...).
Sensitized corporate management to the potential of data-driven business models.
Achieved significant forecast accuracy after only a few weeks.
Established and strengthened internal expertise in the field of artificial intelligence.

with: Leading financial services provider

Analyzed market, competition and internal assets as a factual basis for recommended actions.
Identified potential fields with significant right to play, based on valuable assets and market conditions.
Conducted interviews with potential customers, experts and employees.
Developed the first possible product functionalities.
Validated the functionalities with potential customers and developed a clear product concept including business model.

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