Innovation Challenges

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Challenge Owner(s)
Changi Airport Group (CAG), KK WOMEN'S AND CHILDREN'S HOSPITAL PTE. LTD., KONE, Babes Pregnancy Crisis Support Ltd (Babes), PSA Singapore, Regional Distribution Centre, KABAM Robotics, SATA, ROS-I ARTC, Agency for Science, Technology and Research (A*STAR)
Organiser(s) Infocomm Media Development Authority (IMDA)
Industry Type(s)
Digital/ICT, Energy & Chemicals, Sea Transport, Sustainable Energy, Urban Solutions
Opportunities and Support Opportunities to co-develop and prototype solutions with challenge statement owners
Application Start Date 5 August 2024
Application End Date 13 September 2024
Website Click here to learn more

About Challenge

Open Innovation Call 23 

In the latest Open Innovation Platform (OIP) Call 23 challenge, we have partners pooling over S$850,000 of prize monies! We’ve partnered with organisations like Amgen, Advanced Remanufacturing and Technology Centre, Changi Airport Group, Singapore Tourism Board, United Nations Development Programme and more. We are seeking tech solutions in the realm of AI, robotics and automation, database management systems and more to streamline processes, enhancing efficiency in various domains.

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Challenge Owner(s)Changi Airport Group (CAG)
Industry Types(s)
Air Transport, Digital/ICT

AI PROCUREMENT ASSISTANT TOOL FOR CAG

Whilst procurement processes and requirements are made available to CAG division users, users typically require support from the procurement team throughout the end-to-end sourcing process – including decisions on procurement routes, developing requirement specifications, and recommendations of potential suppliers (Refer to Annex – Diagram A: End-to-End Procurement Sourcing Process). The process can get prolonged, taking up to a week for strengthening of justifications especially with regards to Waiver of Competition (WOC) submissions, mostly due to insufficient information and adequate justification from users. The CAG procurement team of four handles up to 1,000 requests annually, totalling over 750 man-hours of effort.

What We Are Looking For

• Interactive. The solution should be interactive, where it is able to respond according to the user’s input and encourage further information where necessary.
• Intelligent. The solution should demonstrate the capability to learn and evolve its responses
as more data is provided.
• Efficiency. The solution should be able to identify the appropriate procurement approaches
and generate appropriate recommendations accordingly, as well as to recognise and
recommend satisfactory WOC justifications.
• Consistency. The solution should demonstrate consistency and standardisation in its
recommendations of procurement approach as well as the evaluation of WOC justification
satisfaction.
There are no restrictions on the geographical location of the problem solvers who may choose to apply

to this challenge. However, the prototype must be demonstrated in Singapore.

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Challenge Owner(s)Changi Airport Group (CAG)
Industry Types(s)Digital/ICT

AUTOMATING FINANCIAL HEALTH ASSESSMENTS OF EXTERNAL VENDORS

One of the key responsibilities of the CE Finance team is to conduct financial health assessments of external service vendors during their tender and procurement process. Firstly, tenderers will have to provide their latest audited financial statements and other relevant financial documents. For tenders of divisions other than Changi East cluster, the respective division users will extract and input the relevant financial data into a CAG template that classifies the financial health of the external service vendors into three categories: (i) weak, (ii) medium and (ii) strong. External service vendors that fall under the weak and medium categories will undergo an in-depth secondary level analysis of their financial indicators such as (i) cash flow, (ii) working capital and (iii) gearing ratio, etc. Assessment of foreign external service vendors may also require additional time as the financial information provided could be in foreign languages and currencies. Financial statements in English will have to be provided. Divisions may require the help of Procurement team for such in-depth assessment. For Changi East cluster, CE Finance team will be the ones to fill up the template as opposed to other divisions. Thereafter, the CE Finance team may also need to further examine the financial statements of the associated parent company or subsidiaries of these external service vendors. After completing these evaluations, the CE Finance team crafts a financial deck that details their assessment findings and recommendations, which the cluster will include in their tender award documentation.

What We Are Looking For

• Efficient. The solution should improve the time efficiency of the current process, being able
to complete the financial health assessment in a significantly shorter amount of time – by at
least 50%, with minimal human intervention required.
• User friendly. The solution should be easy to navigate for users without existing knowledge or
background in finance.
• Standardised outputs. The solution should generate results and recommendations that are
consistent and templatised for all similar cases so that CE Development team does not need
to seek clarification from the BUs often.
There are no restrictions on the geographical location of the problem solvers who may choose to apply

to this challenge. However, the prototype must be demonstrated in Singapore.

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Challenge Owner(s)Changi Airport Group (CAG)
Industry Types(s)
Circular Economy & Sustainability, Digital/ICT

AUTOMATED FINANCIAL PERFORMANCE ANALYSIS TO GUIDE BUSINESS DECISION-MAKING

The FBP team is responsible for putting together financial data, performing financial analysis and deriving business insights for CAG’s business teams which include business ventures and new startups. These monthly financial reports which correlate financial figures with business driver indicators are shared with the business lead(s) and managers of these business teams to help spot trends, keep track of and support their decision making and growth. As most of these business are different (from CAG’s core business activities) , the FBP team needs to spend a significant amount of time reviewing the data in order to draw relationships between operational and financial metrics and derive useful business insights, before presenting the insights to business teams. At relevant juncture, the team will also present a financial report highlighting salient summary to the SVPs and EVPs of the business ventures.

What We Are Looking For

• Efficient. The solution should automate data processing and streamline the preparation of financial performance data for reporting including identification of key performance drivers, thereby reducing time taken by the team by at least 50%.
• Accurate and consistent. The solution should consistently demonstrate low errors in financial computations and generation of base commentaries and headlines, based on historical data available.
• User friendly. The solution should adopt easy-to-understand terminologies and visuals suitable for users without a finance or accounting background.
• Scalable. The solution should offer scalability for data sets to be continuously fed over time to train the AI models to ensure the system remains accurate and effective.
There are no restrictions on the geographical location of the problem solvers who may choose to apply to this challenge. However, the meetings must be on-site and prototype must be demonstrated in Singapore.

 

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Challenge Owner(s)Amgen

AUTOMATED DRYER PRODUCT REMOVAL FOR INCREASED YIELD AND IMPROVED OPERATOR ERGONOMICS

Conventional scraping processes are labour intensive and time consuming. There are also ergonomical challenges involved as the operator may need to be in a standing position with both hands stretched out for long periods of time. The extent to which the dryer is scrapped clean is also inconsistent and varies according to the operator’s skills and experience, leading to potential wastage of product.

What We Are Looking For

• Safety. The final solution should be intrinsically safe (e.g. ATEX zone 1 certification if solution is in direct contact with the product) due to the presence of flammable solvent. The product may be highly potent with an Occupational Exposure Band of 4 but is not micronised.

• Sanitary. The solution does not need to operate in a cleanroom environment but should be

compatible with organic solvents (such as methanol) for the purposes of cleaning.

•  Testing. The solution will need to undergo a factory acceptance test and a site acceptance test as part of the prototype scope. Beyond the prototype, the solution will be required to comply to Amgen’s installation and operational qualifications as part of Amgen’s change management process if there is mutual consensus to commercialise.

There are no restrictions on the geographical location of the problem solvers who may choose to apply to this challenge. However, the prototype must be demonstrated in Singapore.

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Challenge Owner(s)Agency for Science, Technology and Research (A*STAR)
Industry Types(s)Digital/ICT

OPTIMISING SAFETY FOR HUMAN-ROBOT INTERACTIONS

The Challenge Owner is therefore looking for a solution that interfaces with mobile manipulators and enhances human-robot interaction while taking into account safety. AI-supported contextualisation of environments and instructions would allow the mobile manipulator to efficiently adapt to dynamic scenarios without the need for extensive pre programming or manual operation. This solution would transform human-robot interaction from mere coexistence to productive collaboration which aims to improve the efficiency of manufacturing processes while maintaining high safety standards.

What We Are Looking For

● Process efficiency. The solution makes flexible, efficient decisions with an understanding of its operating context and environmental conditions.
● Safety. The solution prioritises the safety of human operators.
● Ease of use. The solution is user-friendly and does not require deep technical expertise to use.

There are no restrictions on the geographical location of the problem solvers who may choose to apply to this challenge. However, the problem solvers should have intentions of anchoring in Singapore. The prototype must also be demonstrated in Singapore.

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Challenge Owner(s)KK WOMEN'S AND CHILDREN'S HOSPITAL PTE. LTD.
Industry Types(s)Healthcare & Biomedical

AUTOMATED HOSPITAL BILL ESTIMATION FOR ONCOLOGY PATIENTS

KKH primarily serves women and children in Singapore. Due to its reputation for excellence in women and children’s healthcare, it is increasingly also attracting foreign patients, particularly from Southeast Asia. These foreign patients come to KKH seeking specialised treatment or services not available in their home countries or they may prefer the standard of care offered by KKH.

The Business Office currently receives enquiries and requests for hospital bill estimations based on the individual treatment plans for each patient, local or foreign, and are required to provide financial counselling to every patient prior to admission. At times, they also receive requests from KKH’s clinicians enquiring on behalf of their patients after the initial consultations and the clinicians have already presented their medical diagnosis and potential treatment plans. Patients would then approach the various channels such as Admissions Office, Day Surgery or Patient Liaison Services for financial counselling to better understand and manage their healthcare expenses before deciding whether to proceed with the treatment journey at KKH. The Business Office team which provided the estimated hospital bill size currently relies on historical information of the cost of similar past treatment plans, along with patient-specific information such as eligibility for medical subsidies and insurance coverage to estimate the hospital bill for each patient. The entire process is manual and tedious, requiring data extraction from KKH’s Enterprise Resource Planning (ERP)/ SAP system and other sources, data analysis, calculation via Microsoft Excel and occasionally also clarifications with the clinicians involved. As such, each bill estimation takes about three to four weeks to complete for non-standard and complex cases such as transplant.

What We Are Looking For

• Efficient. The solution should automate data extraction and processing for the estimation of hospital bills, thereby reducing the time taken by the team to respond to financial counselling requests.

• Data Interoperability and transparency. The solution should allow data to be extracted from existing systems (i.e. KKH’s ERP/ SAP system) and information provided by KKH (i.e. MediSave, MediShield, Integrated Shield Plan insurers based on the patient’s case to generate the bill estimates. The final bill estimates should also contain a breakdown of cost items for transparency when communicating bill size to patients.

• Accurate. The solution should consistently generate bill estimations with no more than 10% variance based on inputs on treatment plans by clinicians, multiple variables in each patient’s case, historical bill and patient data, and information from different data sources on subsidies and insurance coverages.

• Scalable. The solution should offer scalability for data to be continuously fed over time so as to train the AI models to ensure the system remains accurate in providing the bill estimates.

• Security and Confidentiality. The solution must ensure that patient and sensitive data is kept secure and confidential.

There are no restrictions on the geographical location of the problem solvers who may choose to apply to this challenge. However, the prototype must be demonstrated in Singapore.

For the prototype development, KKH will provide sanitised data to develop and train the AI models for bill estimation. Selected finalist will be required to enter a non-disclosure agreement to ensure the privacy and confidentiality of the information provided for the solution development and testing.

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Challenge Owner(s)Agency for Science, Technology and Research (A*STAR)
Industry Types(s)Digital/ICT

OPTIMISING BEARING PRODUCTION THROUGH DYNAMIC AUTOMATION

The Challenge Owner is open to exploring the potential of collaborative robots (cobots), dual-arm lighter robot systems, vision systems, and artificial intelligence The ideal solution should reduce manpower requirements, increase safety, improve precision, and enhance overall efficiency.

What We Are Looking For

● Safety. The solution must prioritise safety to minimise injury risk, especially in tight spaces where robots and operators work closely together.

● Efficiency. The system should significantly reduce cycle time to decrease production downtime and enhance operational efficiency.

● Accuracy. The system should demonstrate high accuracy in identifying around 10 component types including those with metallic, shiny, or greasy surfaces, and accurately differentiate between various sizes and inner/outer components with designated orientations

● Flexible. The solution should use flexible code for quick adjustments to production needs, handle complex tasks efficiently, and optimise execution time by balancing the need for thorough processing with rapid cycle times.

 

There are no geographical restrictions for problem solvers applying to this challenge. However, those seeking to utilize A*STAR's funding for technology development must register or have an existing private limited company in Singapore. Additionally, they should consider expanding within the Asia Pacific region (e.g., Vietnam, Korea, India, China) to enable potential collaborations.

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Challenge Owner(s)Agency for Science, Technology and Research (A*STAR)
Industry Types(s)Digital/ICT

EFFECTIVE AND ACCURATE VIDEO-BASED DEFECT DETECTION

Both Challenge Owners have existing defect detection protocols supported by technology but are still heavily reliant on skilled personnel. They operate in industries that inspect high volumes of parts made from various materials, all subject to stringent quality and safety standards.

 

By adopting video-based inspection solutions, the owners aim to enhance defect detection, ensuring consistent accuracy to meet growing production demands while minimizing human and organizational risks. However, they face challenges in implementing video-based defect inspection due to the complexity and resource intensity of developing effective AI models.

What We Are Looking For

Challenge Owner 1

• Accuracy. Achieve high accuracy in defect detection that is benchmarked to the human eye. The smallest defect that the technician can detect is around 0.5mm. The solution should have high sensitivity to ensure that all defects are captured. A higher false positive rate is preferred over any false negatives.

• Platform-agnostic. The solution should be able to work on different video-capturing devices without significant re-development. The long-term goal is for the solution to be able to detect defects with any input-capturing hardware such as a mobile phone.

• Scalability. Ensure that the solution is scalable so that once it is validated on the initial parts, it can be efficiently extended to other parts from large components like fan cases to small components like bolts and nuts and to a wide range of defect types.

 

Challenge Owner 2

• Accuracy. The prototype must achieve high accuracy in defect detection, comparable to or better than manual inspection by skilled technicians.

• Scalability. The prototype should be scalable so that once it is validated on an initial set of drill bits, it can be efficiently extended to other product sizes and types.

• Speed. The inspection process should be quick, providing online feedback and defect detection to streamline operations and reduce inspection times.

There are no restrictions on the geographical location of the problem solvers who may choose to apply to this challenge. However, the problem solvers who are keen to utilize A*STAR’s funding for technology development must register/have registered a private limited company in Singapore. The prototype must also be demonstrated in Singapore.

 

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Challenge Owner(s)KONE
Industry Types(s)
Digital/ICT, Logistics

AUTOMATING VERTICAL LOGISTICS IN HIGH-RISE CONSTRUCTION SITES FOR ENHANCED EFFICIENCY

Effective construction site logistics planning is crucial for successful project management in the built environment sector. It involves the coordination and management of resources, including materials, equipment, and personnel, to ensure safety, adherence to deadlines, and efficient execution. As a key partner to building owners, KONE provides elevators and escalators essential for vertical transportation in high-rise construction projects. However, these projects are often plagued by inefficiencies in vertical logistics, which is the movement of materials within the vertical space of a construction project, creating significant challenges for KONE’s customers.

What We Are Looking For

• Dimension. Solution must fit in construction-time elevators and be able to move at least 250kg
at a reasonable and safe speed.
• Versatile. The solution should demonstrate the ability to operate in various construction
environments, adapting to changing site conditions and different building layouts.
• Ruggedness. Ability to withstand typical construction site conditions, including heavy dust and
cracks in the flooring, and be suitable for mid to high-floor construction buildings such as
residential, offices, and hospitals.
• Safety compliance. Compliance with local3 and international safety standards, including
obstacle detection, emergency stop mechanisms, and fail-safes.
• Noise level compliance. Adherence to regulatory standards for noise levels given the

operations at night.

There are no restrictions on the geographical location of the problem solvers who may choose to apply
to this challenge. Selected problem solver should be willing to conduct pilots in both Singapore and
Australia to demonstrate the solution’s capabilities in real-world conditions.

 

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Challenge Owner(s)Babes Pregnancy Crisis Support Ltd (Babes)

INTELLIGENT UNIFIED COMMUNICATION PLATFORM TO TRIAGE SUPPORT REQUESTS FROM PREGNANT INDIVIDUALS

To address these challenges, Babes recognises the opportunity to create a unified one-stop platform to consolidate helplines and enhance the accessibility and efficiency of support channels, enabling more streamlined operations and service delivery improvement across all four SSAs in Singapore that assist pregnant individuals.

What We Are Looking For

• Data privacy. The solution must incorporate robust data privacy protocols to safeguard sensitive information, ensuring that all user interactions, transcriptions, and analyses are securely managed in compliance with relevant data protection regulations.

• System compatibility and stability. Integrate with existing Babes systems or requires minimal need for customisation to ensure reliability and ease of maintenance.

There are no restrictions on the geographical location of the problem solvers who may choose to apply to this challenge. However, the prototype must be demonstrated in Singapore.

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Challenge Owner(s)PSA Singapore
Industry Types(s)Marine & Offshore

HIGH AVAILABILITY NETWORK TO ENSURE ALWAYS-ON CONNECTIVITY FOR PORT OPERATIONS

PSA Singapore is often referred to as a "port that never sleeps" due to its 24/7, round-the-clock operations. This continuous activity is essential for maintaining the high volume of container traffic and ensuring the smooth and efficient flow of cargoes through the world's largest transhipment hub.

The port operates 24 hours a day, 7 days a week without downtime. This ensures that cargoes are constantly moving in and out of the port, meeting the demands and complexity of global trade. Advanced technology and automated Horizontal Transport (HT) such as Automated Guided Vehicles (AGVs) transport containers within the port. HTs operating continuously to move cargo efficiently require always-on connectivity for data communication.

What We Are Looking For

• Always-on connectivity. Provides the HTs with robust connectivity for business continuity. Heterogenous network connectivity that builds in redundancy can be considered as well.

• Network switching. Robust and optimised logic to identify network issues and provide mechanism for failover to other available networks without causing the HTs to lose any connectivity.

• Load balancing. Distributes data loads across available networks, improving network performance and reducing the chance of bottlenecks.

• Supports low-latency communication. The solution shall support latency requirements of less than 50ms end to end for traffic throughput of up to 20Mbps per HT. Problem solver shall take into consideration the HT traffic profile is uplink biased.

• Network analytics. Ability to capture and analyze key parameters that influence connectivity performance across port locations so that enhancement works can be planned and follow up. This includes ability to view back past historic events for investigation and trending purposes.

• Scalability. Ability to support potential increase in HT fleet size as well as other automated fleets, enabling seamless integration as network demands increase.

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Challenge Owner(s)
ROS-I ARTC, Agency for Science, Technology and Research (A*STAR)
Industry Types(s)Digital/ICT

AUTOMATED INVENTORY SCANNING SYSTEM FOR EFFICIENT OUTBOUND DISTRIBUTION

The current throughput of the RDC is approximately three million SKUs a year, or around 12,000 a day.
Each order that goes through the outbound process could contain between 100 to 10,000 SKUs. Due
to the high volume of orders and diversity of SKUs that needs to be processed, the current manual
process poses the following challenges:
● Process inefficiency. There are currently four operators who handle their respective orders,
following the same scanning and packing process at their own workstations. During high order
season, the 3PL will need to engage additional manpower to fulfil the increase in volume of
orders on time.
● Abortive and repetitive work. In order to verify if an order has been completed correctly, the
operator will need to manually check that the number of SKUs scanned matches the order list.
This can only be done after all the SKUs within an order have been scanned. If a discrepancy
is discovered, the operator will have to unload all the items and repeat the whole outbound

process again to rectify the discrepancy.

What We Are Looking For

● Speed. The system should minimally be able to scan 10 products per min (ppm).
● Usability. The system should not require operators to perform complex configurations. Preregistration
of configurations with easy execution is ideal. Any additional steps should not
require technical knowledge.
● Accuracy. For the POC, the Challenge Owner will provide backend ERP data in .txt and .xml

formats for offline matching to assess accuracy in the scanning process.

There are no restrictions on the geographical location of the problem solvers who may choose to apply
to this challenge. However, the problem solvers should have intentions of anchoring in Singapore. The

prototype must also be demonstrated in Singapore.

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Challenge Owner(s)
ROS-I ARTC, Agency for Science, Technology and Research (A*STAR)

GENERATING VISUALISED FLOW-BASED PROGRAMMING FOR ROBOTS USING VERBAL/LANGUAGE-BASED USER DESCRIPTIONS

The ROS-I Startup Challenge is organised by the ROS-Industrial (ROS-I) Consortium Asia Pacific and the Advanced Remanufacturing and Technology Centre (ARTC) which is led by the Agency for Science, Technology and Research (A*STAR), in partnership with Nanyang Technological University Singapore.

ROS-Industrial Consortium Asia Pacific and its organising partner ARTC, aim to accelerate innovation in the robotics sector by focusing on the unique integration of cutting-edge ROS capabilities in manufacturing. The challenge will feature 2 problem statements from the industry that will proliferate the adoption of Robot Operating System (ROS)-based solutions in industrial applications. It will also facilitate collaboration between startups and ROS-I’s technical teams to provide joint innovative creations to leading global enterprises from ROS-I’s consortium.

What We Are Looking For

● Usability. Users should be able to generate and edit visualised process flow easily and independently without technical programming knowledge.

● Speed. The time required between the user’s first engagement with the system to having the first iteration of the process flow should not take more than 15 minutes for basic missions. More time may be taken for complex missions.

● Accuracy. The solution should be sophisticated enough to understand the users’ intended process flow or clarifications to produce an accurate process flow with minimal iterations required. There should be low failure rate where robots are unable execute a mission within a period of time or be met with obstacles due to poorly conceived missions.

 

There are no restrictions on the geographical location of the problem solvers who may choose to apply to this challenge. However, the prototype must be demonstrated in Singapore.

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Challenge Owner(s)Singapore Tourism Board (STB)

INTERACTION DATA CAPTURE PLATFORM FOR MICE EVENTS

STB, through Tcube, aims to enhance the way event organisers in Singapore measures visitor interactions and engagements for business events using technology. This enables better data-driven business decisions in order to shape the future of event planning.

What We Are Looking For

• Network requirements. Due to the potential volume of exhibitors and attendees, WIFI and cellular networks at venues may experience speed and reliability issues. The solution must minimise bandwidth utilisation or be able to tap on other network technologies.

• Intuitive and user-friendly. It should be easy for event organisers or venues to deploy the solution, analyse/visualise the data, generate insights, and compile reports that are easily accessible for individual exhibitors.

• Security. Data must be transferred and stored securely and accessible only by authorised users. The solution must comply with data protection regulations such as GDPR (General Data Protection Regulation) and PDPA (Personal Data Protection Act.

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Challenge Owner(s)United Nations Development Programme (UNDP)

LOW-COST HYPERLOCAL AIR QUALITY MONITORING TOOLKIT

Air pollution is a significant global issue, particularly in developing countries, where it poses a severe threat to both the environment and public health. Responsible for approximately one in nine deaths worldwide, it imposes significant economic burdens that account for 6.1% of the global GDP annually. In particular, air pollution is a serious problem in the Asia-Pacific region, where an estimated 92% of the population is exposed to hazardous air quality levels.

What We Are Looking For

• Low cost. The solution toolkit in total should be as low-cost as possible such that it is suitable for procurement by resource-constrained cities.

• Quick and easy setup. The toolkit should be quick and easy to set up, such that users without prior technical knowledge can self-serve to deploy the solution easily.

• Lightweight and portable. The solution should be lightweight, compact, and portable for ease of deployment and setup in various outdoor locations (e.g. on lampposts).

• Easy to maintain. The solution should require minimal maintenance, and any consumable parts should be easily sourced and replaceable at a low cost.
Sustainable energy source. Ideally battery or solar-operated, as the solution will need to be able to be installed in different outdoor infrastructure settings, such as places without a power source or high-voltage connectivity.

• Fidelity of onboarding and educational materials. The materials should be clear and functional, with concise guiding instructions. High production quality or resolution is not needed for videos (e.g. could be uploaded to video-sharing sites like YouTube).

• Open source. All onboarding and educational materials must be licensed under a Creative Commons license to ensure they are freely accessible and usable.

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Challenge Owner(s)SATA
Industry Types(s)Digital/ICT

STAFF ENGAGEMENT AND WELL-BEING ENHANCEMENT OF NEW HIRES

The Human Resource (HR) department at SATA, operating with a lean staffing team of three members, holds responsibility for managing the recruitment, retention and employee performance of all headcounts across all its medical centres. Annually, the HR team recruits approximately 100 new employees to address expansion and attrition across the medical centres. However, the team faces challenges, particularly a notable attrition rate among new hires before completing their probation, and concerns related to staff engagement and experience.

What We Are Looking For

• Web-based approach. The solution should adopt a web-based platform during the prototype phrase. At the deployment stage, the solution should be extended to include mobile app for enhanced accessibility.

• Interoperability. The solution should seamlessly integrate with existing Standard Operating Procedures (SOPs) that are available on SATA’s intranet.

• Scalability. As user numbers grow, the solution should be able to scale to maintain consistent performance and user experience.

• Data security and privacy. The solution should prioritise user data security and privacy, ensuring that data is both stored, transmitted and viewed securely.

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Challenge Owner(s)Agency for Science, Technology and Research (A*STAR)

ENQUIRY MANAGEMENT AND CUSTOMER SEGMENTATION FOR STREAMLINED SALES OPERATIONS AND DECISION-MAKING

Without effective customer profiling and a consolidated enquiry overview to track and respond to qualified leads, there may be delayed replies resulting in loss of business opportunities since the ships only dock at the port for a short window. There is also opportunity cost to the marketing team as they have to dedicate already limited resources to answer all these enquiries, impacting their ability to source for new business, potentially affecting long-term growth.

What We Are Looking For

● User-friendly and intuitive. The solution should have a clean and simple interface that is intuitive and easy to navigate for all users.

● Scalability. Solution should be scalable with potential for future deployment in the Challenge Owner’s global stations.

● Secure. The solution should be in compliance with the Challenge Owner’s data governance framework. It should have security measures in place to protect user data and production information, and access should be strictly limited to registered users.

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