Learn about the innovative use cases deployed by some of our SG:D Accredited companies.
Affle | AIDA Technologies | Aiven | Barghest Building Performance | Confluent | Cyber Intelligence House | Digital Shadows | Druva | H2O AI | Horangi | igloohome | Kryon | Livspace | Novade | Puppet | Screening Eagle | Taiger | ViSenze | Willowmore | Workato
Use Case 1
ISEAS - Yusof Ishak Institute is a leading research centre dedicated to the study of socio-political, security, economic trends and developments in Southeast Asia and its wider geostrategic and economic environment.
ISEAS partnered with Affle to develop a Mobile App where users have one-stop access to ISEAS’ research articles and events. Users are able to keep abreast of timely and latest developments in the region, by reading publications, as well as registering for and attending seminars.
Use Case 2
Established in 2002, EZ-Link is a pioneer in contactless payments in Singapore with the EZ-Link card being a core product offering. EZ-Link remains the top choice for contactless prepaid card payment in Singapore with more than 40 million cards issued to date. Going beyond transit payments, EZ-Link partnered Affle to build a mobile application and web platform for one of its prepaid products, FEVO, for users to manage account-related activities.
FEVO Prepaid Mastercard® is globally accepted at all Mastercard merchants. With FEVO, cardholders are not required to link it to a line of credit or bank account. It is a secure and safe contactless payment option.
With security and convenience as top priorities, the platform supports the following features:
- Seamless login and activation – biometric/facial identification logins
- Top-ups on the go
- Manage transactions and track card balance
- Get updated on Mastercard privileges and promotions
Use Case 1
AIDA's Claims Processing and Fraud Detection workflow is a proven, high performance end-to-end system used by Tier-1 insurance companies. The system ingests claims documents (images or PDF documents) and extracts relevant information which is then combined with policy information, past claims history, etc. to form an extended claims record to be used as input into AIDA's Claims Decision Engine. The system is able to process over 10K claims per month with a very high straight through processing rate (~80%), accuracy (> 98%) and with very low error rates (<0.5%). When combined with the AIDA Fraud detection engine, their customers are able to simultaneously achieve high automation rate and yet minimise leakage arising from fraud, over servicing and over charging. Please see a demo at https://youtu.be/YMJHTvPKd4c.
Use Case 1: Adeo
European retail company uses Aiven as a unified open source platform for data analytics and more Aiven’s customer is a large European retail company serving more than 450 million customers in 15 countries in more than 700 brick-and-mortar stores. They use the massive amounts of data that they collect and store for their supply-chain and inventory management, and relations with service providers and customers. These are the traditional use cases for retail companies and can be accomplished with siloed databases.
However, this company has taken the further step of adding real-time, comprehensive data analytics into the mix in order to understand and predict customer purchasing behaviour.
To implement data analytics, the company connected all their applications to Aiven’s cloud platform in a centralized, interconnected way to remove data siloes. Once they started operating in the cloud, they realized a hosted, managed cloud database was an excellent way to deliver database services to their local branches very quickly. Their entire transformation was completed within a single quarter. Today, this company runs hundreds of Aiven services, including Apache Kafka, PostgreSQL, OpenSearch, Redis and MySQL, connecting business units, stores and headquarters across Europe. This is possible because Aiven is cloud-agnostic and open source. All cloud providers are not available in all regions, but with Aiven the company can deploy to a different one with a single click. And because the services are open source, they avoid being locked in with a single vendor.
The company has also been very satisfied with Aiven’s personal service and 99.99% uptime. With Aiven, this retail company moved from a siloed, time-segmented, on-premise setup to a centrally-managed, real-time, extremely flexible cloud model, and as a result they can implement advanced data analytics on a massive scale.
Use Case 2: GoTo Financial
APAC fintech company provides financial services on a massive scale with Aiven for Apache Kafka. An Indonesian company providing payment and other financial services consolidated their siloed data pipelines into Aiven for Apache Kafka. They process millions of transactions everyday, so their throughput needs are enormous, and since the services are accessed at the point of purchase their reliability needs to be top-notch.
The company moved from having separate Apache Kafka instances for each product and function to Aiven’s data platform that offers easy scalability and 99.99% uptime. The process of moving was a significant effort, involving duplicating all data and systems across clouds and then moving the user actions to their new setup.
With Aiven, the company was able to manage this with a reasonable amount of effort and hardly had to resort to Aiven’s technical support. Their current system offers the end customers a unified experience and full up to date transparency into their transactions and account status. The data is consumed from Kafka also by the company’s product platform, giving access to clean, centralized reporting and business intelligence as well as high-quality customer service. They can also differentiate access to Kafka for developers depending on their tasks. The company now has much fewer services and less infrastructure to take care of themselves, and it can all be centrally managed. At the same time they get better visibility into their business data, and end customers have a better user experience.
Use Case 1: Hewlett-Packard and Barghest Building Performance
HP Inc. targets to achieve 25% reduction in carbon emissions by 2025 based on 2015 baseline. In 2016, HP Inc. launched a program to establish best practices and national guidelines for facility energy management. The objective of the program is to enhance energy-related operations, technology, and processes. To achieve the intended impact, HP Inc. worked with BBP to create customised solutions for its chilled water systems which had been in operation for more than 20
years. Using advanced data analytics, BBP’s control algorithm optimised equipment set points (e.g. temperature and flow) to improve the efficiency of the existing chilled water systems. The remote monitoring and analytics capability created a platform for data driven discussions on how to further improve system efficiency. The automated reports generated also helped changed HP Inc.’s maintenance perspective from “equipment availability-based maintenance” to “performance-based maintenance”.
HP Inc. achieved annual energy savings of over 2 GWh. The low temperature chilled water system efficiency improved from 0.89 KW/RT to 0.64 KW/RT while the high temperature chilled water system efficiency improved from 0.789 KW/RT to 0.72 KW/RT.
Use Case 2: DCP (Sentosa) Pte Ltd and Barghest Building Performance
In line with RWS’s commitment to sustainability, DCP is constantly evaluating new opportunities to reduce its energy consumption and environmental impact. Prior to this project, DCP had already undergone equipment upgrading as well as one round of performance improvement.
This project started with BBP offering to explore and evaluate potential energy efficiency opportunities at DCP. BBP was selected due to: (i) high guaranteed energy savings, (ii) the operational improvements brought by the BBP control system, and (iii) the good track record of successful energy efficiency improvements. DCP and BBP worked closely to customize and install the chiller optimizer solution, keeping in mind the critical operation of a district cooling plant. The system optimized the energy use of chillers, pumps and cooling tower fans using an algorithm-based dynamic control to achieve and maintain better plant efficiency across varying load profiles without affecting the comfort of occupants. The system also allowed for continuous improvement through remote monitoring, daily performance reports and data analytics that lead to immediate corrective actions whenever necessary.
The successful implementation of project resulted in a 10% improvement in plant efficiency, or 5.5GWh of annual energy savings without disruption to the operations of the plant.
Use Case 1
European Railway Company delivers Reliable Travel Information to Millions with Confluent Platform
On a daily basis, in addition to serving more than 5.7 million customers, an European railway company manages approximately 24,000 trains. This results in about 180 million events that their new passenger information system has to process within 24 hours.
One of the key advantages of building the passenger information system atop Confluent Platform is the speed at which new capabilities can be delivered. Depending on the business case, the required events are persisted in Confluent Platform with the necessary retention times. When a new microservice is created, it is instantly operative, reading all the data persisted in Confluent Platform and immediately processing new information.
The new event streaming architecture has made it easier to take advantage of additional information sources. For example, the company developed a microservice that uses sensor data from the station platforms to detect the arrival of a train. It then triggers the announcement over the station’s loudspeakers.
As part of a pilot phase at 80 stations across the country, Confluent Platform has been remarkably reliable, achieving 99.9% availability from the moment it went live. The new passenger information system had less than seven hours of outage in the first year, and that was for only part of the system, not the whole application.
Use Case 2
Streaming Data Empowers Canadian Bank to be a Data-Driven Organization
One of Canada’s biggest banks, and one of the largest in the world based on market capitalization, has a diversified business model with a focus on innovation and providing exceptional experiences to their 16 million clients in Canada, the U.S. and 35 other countries.
Like many banks with a long history and a large client base, the accumulated assets of the bank are very complex. The bank’s data landscape exists across lines of business and within a centrally managed infrastructure. Due to regulation, security and the need for auditing, data within these various groups must be handled thoughtfully, with insight on how to maximize its value and quality without introducing risk to clients or the organization.
Part of the central technology stack is a mainframe-based infrastructure that supports many applications. This infrastructure is the system of record for a number of client profiles and before Confluent, accessing the data could be delayed, complex and costly for the bank.
The bank selected Confluent Platform based on Apache Kafka, and wrote a microservice to significantly reduce the reads on the mainframe, reducing fixed infrastructure costs and OPEX. The bank stayed compliant with regulations and business logic, and is now able to create new applications using the same event-based architecture.
Use Case 1
A major airline recorded revenues amounting to nearly $2.3 billion and carried about 20 million passengers a year. The challenge for the airline was that they did not have full understanding of the digital risks of their exposed information and online assets. CIH has helped them manage multiple digital risks during our relationship:
781 of their past and present employees were compromised on several 3rd party platforms, including management and the Board of Directors. Hackers had also breached user accounts on the airline and were selling their reward points in the Darkweb. Airline's online booking systems were also breached which led to compromise of customer records. Airline was also hit by a serious ransomware attack.
CIH helped the airline to take control of these risks.
CIH detected and helped mitigate risks from breached and leaked information. User accounts were reset, and users were notified. CIH monitors if any of the Airline's data is being transacted online by cyber criminals. CIH also monitors exposed systems at the entire network edge that they put to the Internet. As a result, the Airline experienced significant reduction in operating costs caused by cyber security incidents.
Use Case 1: How a technology company discovered credentials for their CRM platform
A European technology company had their own, small engineering team, but often worked with contractors to build their various different applications for their customers. The security team lacked visibility into where that code was being shared online, and so turned to Digital Shadows.
With SearchLight's Unauthorized Commit alerting, the security team was immediately notified to one commit, which turned out to be an employee who had posted a script with clear-text credentials to their Salesforce instances on GitHub. This was intend to be private, but the settings had been changed.
The security were able to quickly have the post removed, and further refined their company policies
Read more here.
Use Case 2: Contractor Exposed Manufacturer’s Sensitive Data
With Digital Shadows SearchLight™, a manufacturing firm discovered that a third party contractor exposed sensitive Non Disclosure Agreements signed by its customers via NAS (network addressed storage). Threat actors may use an organizations supply chain to gain access to valuable systems and data such as intellectual property and patents. The manufacturer is a long standing Digital Shadows client who engaged them to proactively manage their digital assets and third party risks.
Read more here.
Use Case 1: Cosmetics powerhouse AmorePacific finds beauty in Druva over Veeam
Empowered by Druva, cosmetics giant AmorePacific left behind its legacy data protection and embraced a cloud-first strategy, ultimately saving time and overall costs. Druva’s reduced expenses and complexities cut the total cost of ownership (TCO) of the firm’s backup and DR services by up to 30 percent. The enterprise also did away with all capex costs for backups and DR by eliminating the second facility and its duplicate storage systems. Moreover, AmorePacific accelerated full back up by 60 percent over its prior Veeam solution and sped up and simplified restores.
“I save an average of over 30-man hours every month now that we’ve moved away from Veeam’s complex workflow and consolidated our data centers,” said Wai Chung, IT backup administrator at AmorePacific's Hong Kong headquarters. “Thanks to Druva’s source-side deduplication, we also reduced the volume of data to be backed up by over 50 percent. Compared to our Veeam solution, this very much lessens both the storage capacity and bandwidth needed to safeguard our data.”
Based on our results, Druva’s backup technology is truly revolutionary. With its speed, scalability, and TCO savings, we now make decisions based on our business objectives rather than the restrictions of our legacy backup solution.”
Read more here.
Use Case 2: How Druva safeguarded over 80 TB of critical research data in the cloud
The Queensland Brain Institute is an Australian neuroscience research institute located in Brisbane at the St Lucia campus of The University of Queensland. The Queensland Brain Institute’s researchers work to understand the development, organisation and function of the brain. Collaboration with clinicians and commercial partners to develop new therapeutic approaches for brain diseases generates terabytes of data.
With most researchers having several hundred gigabytes of critical data on their machines and the need to facilitate global collaboration, an increasing issue the institute needed to solve was data availability and backup reliability at the endpoint. The team discovered Druva and quickly saw the benefits of cloud-based data protection for endpoints.
“Having a fully automated data protection solution was a night-and-day improvement. Implementation of Druva inSync was straightforward, and we quickly saw trust established between the researchers and Druva. The platform gave them confidence that if anything happens to their device or data, it can be quickly restored,” said Perry Kollmorgen, IT manager.
Read more here.
Use Case 1: Hortifrut
Hortifrut, the largest producer of blueberries in the world, has farms on 5 continents, distributes fruit to 37 countries and uses artificial intelligence (AI) to make decisions about blueberry distribution end-to-end. Hortifrut addresses 25% of the world blueberry market and is using H2O AI Hybrid Cloud to make distribution decisions across their expansive operations. They are able to predict the quality of the blueberries from origin to final destination, increasing the consumer experience, and increasing revenue.
AI has paid off for them in big ways. Hortifrut achieved the following key benefits:
- If the berries are spoiled at their destination, it can result in revenue loss from customer claims and also cost valuable customer satisfaction. With better predictive insights, Hortfruit can ensure quality blueberries arrive at the destination. As a result, Hortifrut has saved a significant amount of money by reducing perishable claims.
- H2O AI Hybrid Cloud packs advanced machine learning technology in the platform that can augment data scientists of any skill level. Hortifrut has been able to deliver real business results with a small data science team thereby improving productivity of the team.
- Hortifrut was able to reduce the model development time from 3-5 months down to 3-5 weeks.
Now that Hortifrut has seen commendable results with AI by delivering fresh blueberries, they are turning to other use-cases. They have started using AI to predict future production of the blueberries dependent on the origin, weather, variety, and more.
Use Case 1: Singlife
Singlife Leans On Warden To Dominate IaaS Security & Compliance
Singlife is a Singapore-based Insurtech company licensed by the Monetary Authority of Singapore (MAS) to make financial services more convenient, transparent, accessible and affordable. Singlife runs thousands of cloud instances on Amazon Web Services (AWS), from EC2 Compute to RDS Databases. As a rising company in Singapore’s financial services space, staying on top of its cloud security by addressing these IaaS security vulnerabilities is paramount. Singlife needed a cost-effective and scalable way to manage and improve their AWS security.
With Warden, Singlife gets comprehensive visibility and continuous security protection over its AWS environment.
From automated vulnerability scans within minutes of setup to a wealth of context for each scan, the entire team immediately became more confident about managing their infrastructure security. The best part is that the infrastructure team now gets alerted whenever anyone makes a change that falls short of compliance best practices.
“Our team’s productivity has skyrocketed since using Warden. Not only is Warden an intuitive CSPM platform for companies to manage their cloud security, but Warden’s customer service is also impeccable. Horangi is willing to listen to its customers and make the necessary improvements that benefit my whole team.”
Use Case 2: DirectAsia
Readying DirectAsia for their Asia expansion with Horangi's red teaming solution
DirectAsia is one of the pioneers in the direct marketing insurance industry in Singapore. To ensure sufficient bandwidth for growth and expansion, robust security posture of the company’s internal IT systems needed to be in place. To comply with Monetary Authority of Singapore’s Technology Risk Management requirements of cyber resilience, DirectAsia needed to test its systems against recognized cybersecurity standards. This provided well-defined parameters for Horangi cybersecurity consultants to conduct a Red Team assessment.
Amid timeline pressures, Horangi’s team of cybersecurity consultants were able to provide new insights into improving security posture and find exploits that were previously undiscovered. The report was accompanied by comprehensive documentation, leaving nothing up to chance and no guesswork was needed to understand the next steps of action.
"It was a good experience - the response from Horangi was really fast and prior to the scope, the discussions were really crisp. The people who were a part of the initial discussions were very knowledgeable which gave us the confidence to be certain about working with Horangi for the long term." — Narasimhan Partha, Group Chief Technology Officer
Use Case 1: My Workspace
Located in Gangnam, Seoul, My Workspace is a co-working space for start-ups, entrepreneurs, and the like. Rental costs can be high in the city and My Workspace aims to help alleviate these overheads for small businesses that need an office. From single seats to multiple meeting rooms, My Workspace prides itself on its spacious yet cozy design.
igloohome partnered with them to deliver a cutting-edge solution to automate the room booking process for the co-working space. Access can be customized to the granular level, ensuring that the rooms are always secure. The solution frees up the managers’ time when it comes to issuing access to multiple users.
Use Case 2: Sansiri
Sansiri is regarded as one of Thailand’s top property developers. With over 300 residential projects and counting under their belt, they offer a full range of housing units across 20 provinces in the country.
igloohome has partnered with Sansiri to have their locks installed in multiple projects. These properties were value-added with the integration of the lock with the proprietary condo living app - which improved the property's attractiveness to prospective buyers and enhanced security and convenience for residents.
Use Case 1: Wyndham Hotels & Resorts
Wyndham is the world’s largest hotel company, with 9,400 hotels in 80 countries. In May of 2018, Wyndham acquired the La Quinta brand. This move presented some major challenges - they needed to rapidly onboard 900 hotels, including training those hotels’ employees on company-wide procedures and computer systems. After years of working with Kryon's RPA solution, Wyndham’s management team was aware that RPA could help them efficiently onboard their new employees. But first they would need to identify the right processes to automate. And management knew that the conventional, manual approach would be time-consuming, expensive, and vulnerable to employee bias. Instead, they turned to Kryon Process Discovery™ to quickly identify their most promising opportunities for RPA. As a result, Wyndham successfully completed the onboarding process for all La Quinta hotels ahead of schedule. In addition to accelerating that process, Kryon Process Discovery™ enabled Wyndham to save nearly 700 work hours and eliminated the need to hire 500 temporary employees.
In total, Process Discovery identified 79 processes, and Wyndham determined that 26 of them are suitable for RPA. As a result, Wyndham’s citizen developers were able to scale up the use of automation and maximize the overall RPA ROI.
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Use Case 2: LTCG
LTCG is a leading US provider of business process outsourcing for the insurance industry, with more than 1.4 million long-term care policies and serving over 50 national carriers.
Having already successfully deployed Kryon RPA solutions, LTCG was keen to extend the scope of automation to cover additional departments. The company’s primary goal was to radically simplify the cumbersome tasks of insurance billing and claims processing.
LTCG rapidly deployed Kryon Process Discovery™ on around 345 virtual machines across the company over a time span of less than two weeks. As a result, 83 unique processes were discovered, of which seven were automated within one month by LTCG’s citizen developers with no technical background. This was possible thanks to a unique capability of Kryon Process Discovery™ to provide fully functional workflows that can be quickly imported into Kryon’s RPA development studio, where they only need to be fine-tuned before they are ready to be deployed (as opposed to having to develop those workflows from scratch).
Thanks to Kryon's solution, LTCG has realized an improvement of up to 70% proficiency in claims processing, with human error practically eliminated, leaving agents able to focus on providing quality customer service instead.
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Use Case 1: Fusion Kitchens
Fusion Kitchens joined the Livspace platform to address challenges of inconsistent output resulting in varied demand pattern, along with batch production complexities resulting in mismatch of kitchen panels affecting installation quality and timelines. Using Livspace’s Fulfilment Cloud, they were able to simplify production process, with automated order management, panel tracking, inventory management, optimization, quality control and dispatch. Integration with machines on the shop floor enabled them to have live production tracking and get complete visibility of shop floor.
Fusion Kitchens was able to cut production churn by 75%, and ensure payback of initial investment within 18 months, with optimized capacity utilization of production. They also grew their output by 10x, with Livspace enabling them to onboard new customers and helping sell 60% of their output.
Use Case 1: Hwa Seng Builder
Hwa Seng Builder (HSB) had a vision to improve workflow productivity and site safety with technology. When they undertook a project to construct bridges across Sungei Serangoon, HSB engaged Novade’s Safety-HSE module to connect all users on a single site management platform to maximise efficiency and ensure high safety standards. After going digital, the time used to approve and verify Permit to Work was shortened to 30mins instead of two hours, and at the same time, eliminated the need for paper. Project managers could also monitor day-to-day work activities together with the checklists and near-miss reports; non-conformances could be captured with a photo on a mobile device and sent to the person-in-charge for immediate rectification. Real-time data such as internal hazard activity was automatically synced on a user-friendly dashboard for analysis. From the breakdown, proactive actions were taken to prevent accidents from occurring. Projects executive director Alan Nah commented, “We believe that embracing this technology will help to improve the workflow in terms of productivity, and more importantly, make the site a safer place for everyone.”
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Use Case 2: CEL Development
CEL Development, a property developer and subsidiary of Chip Eng Seng, developed High Park Residences, its biggest project to date. The 1,300-unit project required tight coordination with all the stakeholders, resulting in challenges around quality control. Eventually, they chose to implement the Novade Quality module, and made use of Novade in three stages: Firstly, at the construction stage, the main contractor and subcontractors had to coordinate seamlessly with Novade’s mobile application which synced the status of their site checks in real time. Secondly, at the handover stage to the customer service officers, main contractors could easily and systematically rectify defects which reduced the time and cost of rework. Lastly, CEL Development extended the usage of Novade to their clients, the homeowners, where they could lodge in defects of their apartments at their own convenience. As Novade is a single site management platform, the customer service officers were immediately notified, and they could assign the relevant contractors via the same application to work on the defect. General manager Ivan Lim commented, “We see Novade, an application developer that caters to our industry, an opportunity for us to improve productivity and efficiency, and most importantly, customer satisfaction.”
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Use Case 1
Problem-based learning institution Republic Polytechnic needed a software automation tool to efficiently set up student labs, manage infrastructure, and delegate administrator resources. Using Bolt and Puppet Enterprise, Republic Polytechnic was able to focus on automation initiatives, refresh course curriculum toward industry needs, and increase interest in its programs.
Use Case 1
TSM is a civil and structural engineering consultancy company in Singapore providing design, inspection, and project management services to local government agencies and various private sector clients, including the Former Thong Chai Medical Institution, the project of Oxley Bizhub building inspection and the latest Changi Airport inspection project.
Typically, many inspection projects are conducted simultaneously, and each project requires certain manpower and a lot of data collection, including taking dozens of photographs. For TSM, it was time-consuming to manage the data collection, sorting, storage and sharing with the many stakeholders. For example, the report preparation alone can take more than a day.
TSM identified the cloud storage based 'Screening Eagle INSPECT' app as a solution to their challenges. From the iPad app, TSM set up and managed projects, took high-resolution photos, tagged them by location, located the crack/defects by artificial intelligence (AI), generated reports in seconds on-site and shared them with all stakeholders.
Since implementing the Screening Eagle INSPECT software during the entire inspection workflow, the required manpower on TSM’s projects has reduced by around 50% and productivity has increased by approximately at least 40%, resulting in significant cost savings and increased scalability.
Use Case 1: National Heritage Board
Citizen engagement at scale through intelligent search and data management
National Heritage Board, the custodian of Singapore’s heritage, was seeking to revamp roots.gov.sg, a digital portal to access cultural artefacts. However, they had an overwhelming amount of structured to unstructured content such as multimedia assets and wanted to enhance the portal’s search efficacy and content discoverability. With over 100,000 resources, going online also necessitated a more efficient way to digitise their records.
Omnitive Search and Omnitive Recommend were implemented as the customer-facing search interface to discover information across multiple repositories. A custom ontology was built based on the client’s data sets to tag over 100,000 entities to create a machine-readable knowledge database. Tapping on the ontology, the new search engine integrated advanced search features, such as semantic tag clouds and boolean operators. It also offered AI-generated recommendations using content-based filtering and trending content captured by the client’s analytics module.
TAIGER’s solution stack successfully enhanced customer engagement and access to a rich digital repository of heritage content. The average time spent per visitor on the portal tripled from one to three minutes. Additionally, the solution substantially improved back-end data management, as it took just one week to organise the 100,000 entities, which would have taken a year to complete manually.
Use Case 2: Bank Otkritie Financial Corporation
Accelerated SME onboarding with unstructured invoice processing
Otkritie Bank, one of the top 10 largest banks in Russia, has over 100,000 corporate customers that strongly rely on the financial institution’s business solutions. However, manual handling of high-volume onboarding documents such as invoices and passports tied-up resources. It was imperative that the bank identified a document extraction solution that would reduce the systemic cost and inefficiencies.
As such, Omnitive Extract, TAIGER’s information extraction solution, was implemented for Otkritie. Omnitive would read, process, and verify unstructured to semi-structured information from varying formats of invoices and passports, and successfully so in the Russian language.
The solution was very well accepted and achieved over 20,000 successful invoice extractions in the first three months alone. Omnitive reduced passport processing time by 72%, from 2 minutes to 34 seconds, yet with greater than 92% accuracy; and the industry benchmark for unstructured information extraction is typically under 80% accuracy. The solution also achieved an outstanding 48.8% success rate in invoice conversion to payment among real users on the invoice processing mobile application. Omnitive Extract’s reception and velocity secured a great revenue upside for our client and unlocked further opportunities for intelligent innovation for their other banking divisions.
Use Case 1: Global sportswear brand counters Covid-19
Problem: Global sportswear brand wanted to engage consumers in stores to drive revenue. During peak hours, consumers had to wait for store associates to help check stock availability of shoes in preferred size and color, which resulted in poor service.
Spread of Covid-19 exacerbated the situation, forcing brands to close stores globally and resulting in revenue loss. As stores reopen post covid, consumers will feel uneasy approaching store associates and vice-versa. Brand wanted to counter the drop in revenue and elevate their consumers’ shopping experience with innovative technology.
Solution: ViSenze’s Visual Search enabled the brand to provide consumers a self-serve shopping experience without having to interact with store associates. This freed up the store associates’ bandwidth to focus on implementing safety measures and other services. The brand's consumer app has an in-store mode, which when activated, lets consumers scan the shoes on display using a smartphone camera to search for size and stock availability. Consumers can request to try the shoe or proceed to checkout. In case the shoe is not available in store, they can order it online directly.
Impact: Their solution resulted in faster checkouts, higher consumer satisfaction, and higher store associates’ productivity, while ensuring a safe shopping experience. In the post-covid world their visual AI solutions can help retailers build trust among consumers to shop carefree.
Use Case 2: Asia’s leading online fashion retailer
Problem: Asia’s leading online fashion retailer, which offers thousands of fashion brands on their website and app, wanted to elevate the shopper experience by improving the product discovery and search experience. It was overwhelming for shoppers to browse through thousands of brands to find the exact product they were looking for. This impacted their product discovery and led to drop offs across the discovery and buying funnel.
Solution: ViSenze’s Visual AI solutions enabled the retailer to improve the search and discovery experience of the consumers and improve conversion rates on their site and app.
ViSenze’s Visual Search lets consumers upload a fashion image to find the exact match, or other visually similar products, without having to describe the product. This improves the accuracy of search results and reduces extra manual effort for consumers. ViSenze’s Smart Recommendations give consumers visually similar options on the product details page to choose from. They also get other category recommendations which go well with the product to help them complete the look. This simplifies decision-making for consumers and improves conversion rates.
Impact: Their solutions elevated the shopper experience and helped the retailer achieve higher conversions, higher average order value, and better user experience.
Use Case 1: Digitalizing access request at Singapore Town Councils (TC)
- Duplication of mechanical keys
- No visibility of who has accessed sites
- Expensive cost of security guard to eye-ball the access
- Time wasted in managing, issuing and collecting keys
- Excessive administrative work for both TC and Contractors
Willowmore has been supporting EMServices since 2018 to digitalize their sites with mechanical locks. EMServices has deployed Willowmore’s keyless smart padlocks across various Town Councils for the island-wide lift upgrading program. There have been also several on-going trials with selected Town Council roof tops sites.
The initiative stopped the duplication of mechanical keys and provided visibility to the EMServices team of the activities at their sites. The contractors have also embraced the solution. They commented that process of applying and collecting keys from the Town Councils have been shortened from 3 days to 3 minutes.
Part of the trial also included the implementation of Willowmore’s AI-powered bio-metric facial recognition feature in the software suite. This has provided an additional layer of security for Town Councils to ensure that only authorized personnel are able to access their sites.
Use Case 2: LEVELING UP Waste management WITH PUB
- Traceability of loading and discharge process
- Automation of records
- Prevention of tampering and illegal discharge
- Reduction of man-power required to check security cable tie
Behind the clockwork delivery of reliable water supply and waste management is a team of dedicated PUB team. Willowmore is proud to be associated with this project as it provides the opportunity to fulfill the mission of Keeping Singapore Safe. Since mid-2021, the Willowmore team has been working closely with subject matter experts from PUB to customize the Smart Lock system to their requirements.
This project involved upgrading of the Hardware to cater to the harsh operating environment, customizing the software to align with the current workflow and leveraging the latest software features such as digitalization of administrative requirements dynamic geo-fencing and AI-powered Analytics to drive operational efficiencies.
With the deployment, PUB leveraged Willowmore’s solution to bring about automation to their process and ensure traceability to the waste management process.
Use Case 1: Grab
Grab is Southeast Asia’s leading online-to-offline (O2O) platform, providing private car services, motorcycle taxis, last mile delivery, ride sharing, food delivery, and e-payment services.
As it was in a state of hyper growth and scaling quickly, Grab had to ensure that processes across IT and People Operations were as efficient and secure as possible.
Because these workflows span many enterprise apps like JumpCloud, their HRIS, and Slack, the company turned to Workato to create an integrated infrastructure for those processes. Using Workato, Grab turned Slack into a ChatOps Hub to automate the employee onboarding process and complete work.
As a result, Grab was able to:
- Save 3,000 people-hours of work across the organization in just a few months
- Query the JumpCloud directory 30x faster, saving 200+ hours of IT time per week on this one automation alone
- Set up Windows Machines in 1/4th of the time
- Build integrations in 1/10th of the time it takes to code
View the full story here.
Use Case 2: HubSpot
HubSpot is a leading marketing, sales and customer service platform for growing businesses that was founded in 2006.
When the low-code iPaaS platform they were using was officially sunset, HubSpot switched to using Workato. One of the key reasons HubSpot chose Workato was because of how easy it was to train HubSpotters outside of IT to use the platform and build their own workflows.
During the migration process, HubSpot also performed a deep audit of existing software and systems for redundancies. Eliminating these redundancies ended up saving the company an estimated $60K.
By the time the migration was completed, 45 HubSpotters were certified as recipe* builders, with more in the training program. These certified recipe builders are now actively finding new ways to drive additional ROI for the company.
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*Recipes = Integrated Automation; A recipe is a set of steps Workato follows to get work done between your apps.
Note that the listed use cases are updated regularly.