Sökning: "Sales Pipeline"
Visar resultat 1 - 5 av 10 uppsatser innehållade orden Sales Pipeline.
1. Supply Chain Disruptions as a Consequence of Covid-19 - A case study to investigate how a global pandemic affects a multinational manufacturing company from a supply chain perspective
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : Background and problem description: The business landscape becomes increasingly more uncertain and competitive which requires organizations to adapt and configure their operations in more complex ways. After the Covid-19 pandemic, it has become clear that the entire world is susceptible to crises of substantial magnitudes. LÄS MER
2. Development of a Forecasting Model for Original Equipment Manufacturer (OEM) Components - A Design Science Study at Tetra Pak
Master-uppsats, Lunds universitet/Teknisk logistikSammanfattning : Title: Development of a Forecasting Model for Original Equipment Manufacturer (OEM) Components. A Design Science Study at Tetra Pak. LÄS MER
3. AI-Based Business Model Innovation : Case study at Axis Communication
Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetSammanfattning : Background AI adoption is increasing, and the highest increase of AI is seen in service functions, followed by product applications. Moreover, the patent filing is rapidly increasing showing high interest in the technology. Product-based firms developing AI technology may need to develop their business model as a result of the introduction of AI. LÄS MER
4. Talk about value, not product... : The solution to widen the sales pipeline?
Master-uppsats, Umeå universitet/FöretagsekonomiSammanfattning : Business-to-business (B2B) organizations are facing challenges related to complex sales cycles and increasing competition, resulting in more value-driven sales processes and a holistic ecosystem for the B2B marketplace. Recent studies have acknowledged the lack of research on inside sales and sales development in B2B organizations. LÄS MER
5. Deployment failure analysis using machine learning
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Manually diagnosing recurrent faults in software systems can be an inefficient use of time for engineers. Manual diagnosis of faults is commonly performed by inspecting system logs during the failure time. LÄS MER