Master Thesis: AI-Guided Pricing and Quoting for B2B Sales
ASSA ABLOY ABSammanfattning
ASSA ABLOY is seeking a master's thesis intern for spring 2027 to explore AI-guided pricing and quoting for B2B sales. This role, based in Liljeholmen, Stockholm, offers the opportunity to work with cutting-edge technology and collaborate with dedicated supervisors and fellow students. The project focuses on how AI can enhance the pricing process, ensuring speed, consistency, and transparency in quotes.Det här erbjuder vi
Opportunity to work with cutting-edge technology.Support from dedicated supervisors and a group of fellow master's thesis students.Experience in a global leader in access solutions.Possibility to explore diverse subjects related to the thesis.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-10-20
Beskrivning
Are you a master's student looking for an innovative company to collaborate with on your master's thesis during the spring semester of 2027? Look no further.
ASSA ABLOY is the global leader in access solutions and provides the latest technologies to give access to physical and virtual spaces for millions of people every day. Joining ASSA ABLOY means being part of a fast-moving and highly innovative company with diverse opportunities in more than 70 countries worldwide.
What can you expect as a master's thesis intern at ASSA ABLOY? Cutting edge technology, a steep learning curve, dedicated supervisors from within the enterprise, a group of fellow master's thesis students to share the experience with - and much more. We have an exciting range of subjects. Please remember to indicate in your application if you're interested in other subjects as well and mark them in your order of preference. Please also let us know your thoughts on how you would approach the subject. Please note that most of your work will be done at our site in Liljeholmen, Stockholm.
Master Thesis Nr 4: AI-Guided Pricing and Quoting for B2B Sales
This thesis explores how artificial intelligence can support B2B sales teams in creating customer-specific quotes that are both fast to produce and commercially sound. Using the pricing and quoting process as a case study, the research will examine how AI-powered decision support can help configure offers and provide clear, explainable price guidance-such as a recommended price range-before a quote is sent to the customer.
The project will explore how relevant commercial data-including customer characteristics, product configuration, historical transactions, discounts, deal outcomes, and market context-can be used to guide pricing decisions in real time, while balancing quote speed, pricing consistency, transparency, and commercial quality.
Suggested Areas of Exploration:
• What data and commercial signals are needed to generate reliable, customer-specific price guidance?
• How can an AI-based recommendation approach be designed so that its guidance is explainable and trusted by sales teams?
• How should pricing guidance be presented during quote configuration to support effective commercial decisions?
• What governance, approval logic, and guardrails are required when AI supports B2B pricing and quoting?
• How can the proposed approach be demonstrated through a context-appropriate prototype, such as a proof of concept, decision-support tool, or interactive mock-up?
Expected Student Capabilities and Prior Knowledge:
• Understanding of B2B sales, pricing, quoting, or CPQ processes is valuable.
• Knowledge of artificial intelligence, data science, business analytics, or decision-support methods.
• Interest in explainable AI and the practical adoption of AI-supported recommendations in commercial settings.
• Analytical and critical thinking skills, including the ability to structure complex problems, assess data objectively, and develop practical solutions.
• A relevant academic background, such as Industrial Engineering and Management, Data Science, Computer Science, AI, Business Analytics, or a similar field.
We look forward to receiving your application with your resumé and hearing your ideas on how you would approach this subject!
We make it easier for people to get where they want to go!
On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go - without having to think about it.
When you join our HID team, you'll also be part of the ASSA ABLOY Group, the global leader in access solutions. You'll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions - supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it's important to us to have diverse, inclusive teams, and we value different perspectives and experiences.
#LI-HIDGlobal
"},"jobFunction":{"category":"Sales
ASSA ABLOY is the global leader in access solutions and provides the latest technologies to give access to physical and virtual spaces for millions of people every day. Joining ASSA ABLOY means being part of a fast-moving and highly innovative company with diverse opportunities in more than 70 countries worldwide.
What can you expect as a master's thesis intern at ASSA ABLOY? Cutting edge technology, a steep learning curve, dedicated supervisors from within the enterprise, a group of fellow master's thesis students to share the experience with - and much more. We have an exciting range of subjects. Please remember to indicate in your application if you're interested in other subjects as well and mark them in your order of preference. Please also let us know your thoughts on how you would approach the subject. Please note that most of your work will be done at our site in Liljeholmen, Stockholm.
Master Thesis Nr 4: AI-Guided Pricing and Quoting for B2B Sales
This thesis explores how artificial intelligence can support B2B sales teams in creating customer-specific quotes that are both fast to produce and commercially sound. Using the pricing and quoting process as a case study, the research will examine how AI-powered decision support can help configure offers and provide clear, explainable price guidance-such as a recommended price range-before a quote is sent to the customer.
The project will explore how relevant commercial data-including customer characteristics, product configuration, historical transactions, discounts, deal outcomes, and market context-can be used to guide pricing decisions in real time, while balancing quote speed, pricing consistency, transparency, and commercial quality.
Suggested Areas of Exploration:
• What data and commercial signals are needed to generate reliable, customer-specific price guidance?
• How can an AI-based recommendation approach be designed so that its guidance is explainable and trusted by sales teams?
• How should pricing guidance be presented during quote configuration to support effective commercial decisions?
• What governance, approval logic, and guardrails are required when AI supports B2B pricing and quoting?
• How can the proposed approach be demonstrated through a context-appropriate prototype, such as a proof of concept, decision-support tool, or interactive mock-up?
Expected Student Capabilities and Prior Knowledge:
• Understanding of B2B sales, pricing, quoting, or CPQ processes is valuable.
• Knowledge of artificial intelligence, data science, business analytics, or decision-support methods.
• Interest in explainable AI and the practical adoption of AI-supported recommendations in commercial settings.
• Analytical and critical thinking skills, including the ability to structure complex problems, assess data objectively, and develop practical solutions.
• A relevant academic background, such as Industrial Engineering and Management, Data Science, Computer Science, AI, Business Analytics, or a similar field.
We look forward to receiving your application with your resumé and hearing your ideas on how you would approach this subject!
We make it easier for people to get where they want to go!
On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go - without having to think about it.
When you join our HID team, you'll also be part of the ASSA ABLOY Group, the global leader in access solutions. You'll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions - supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it's important to us to have diverse, inclusive teams, and we value different perspectives and experiences.
#LI-HIDGlobal
"},"jobFunction":{"category":"Sales
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Master Thesis: AI-Guided Pricing and Quoting for B2B Sales
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ASSA ABLOY AB
