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Case

Transferz – Firm cost savings with Google Maps API

Transferz is a Dutch technology company that has developed a ground transportation API and offers it to their clients to integrate into websites such as Booking.com. They allow major players in the tourism- and holiday-sector, such as vacation websites, airlines, hotel chains, etc., to easily offer various transportation services to their customers, via their website. 

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Challenge

In view of the growth trajectory that Transferz wants to go through in the coming years, it was necessary to improve the integration of location services within their product. They also needed to look at a way to get a better handle on technology costs within the company. Transferz first tried to address these issues internally, but it soon became clear that this was not the right way. They needed more specific specialism and know-how.

Transferz was therefore mainly looking for a partner who could support them in this process, both in terms of technical optimization and costing. In addition, it was extremely important that such a partner be a valuable discussion partner who understood their business.

Jan van der Veen

Jan van der Veen

Chief Technology Officer

“Google Maps is a vital part of our innovative ground transportation platform. Localyse ensures we’re up-to-date with the latest developments and helps us keep our Google Maps costs in check.”

What did Localyse do?

One of the issues Localyse immediately addressed, was the Google Cloud backup routine that Transferz used on a daily basis. By optimizing this, Localyse ensured that the company will save nearly 68% annually! 

In addition, Localyse provided a solid review and optimization of Google Maps usage and associated costs, and Localyse helped them submit a Google Refund Request. As a result, Transferz recovered 22% of their monthly fees. These costs were previously much higher, due to incorrect API usage that was discovered and rectified by Localyse! 

Localyse also manages Transferz’s Google Cloud infrastructure to ensure a streamlined and efficient operation. Localyse also maintains an improved management environment, security and limit settings, so that the CTO of Transferz will no longer get any unpleasant surprises.

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Results

Localyse, through their Customer Success Program, ensures that Transferz now consistently get all the support they need. Service agreements have been made so that Localyse continues to maintain a proactive role for all kinds of issues. Exactly what Transferz expects from a Premium partner with ‘Location based specialization’! 

Thanks to Localyse’s intervention, many processes, including Google Maps and API integration, internal cost structures and the use of Google Cloud, were visibly optimized.

Even today, Localyse will continue to assist Transferz where necessary. Localyse keeps a close eye thanks to quarterly meetings with Transferz, during which Transferz receives advice and assistance, and Localyse can always intervene and support if necessary!

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Case

Monizze – Intuitive Google Maps map with clustering

Monizze, a Belgian SME initiative, is a 100% digital Fintech company. Monizze connects individuals and companies by developing management and transaction platforms that contribute to their well-being and efficiency. Monizze develops integrated solutions that perfectly meet the needs of our various target groups: meal, eco and gift vouchers. In 2015, Monizze joined Up Group, n°3 worldwide, in the special payment voucher market. Monizze has since exceeded the counter of 50,000 customers, ranging from large companies such as KBC, Colruyt, Alken Maes and Comeos to SMEs and the self-employed. We are happy to let Monizze talk about our collaboration here.

monizze logo

The necessary expertise for a dynamic map solution

Google Maps has been around for 5 years; we used this to show where Monizze vouchers can be used by means of a digital map. Customers usually look at the map each time vouchers are issued to see where they can consume them. The card solution was in need of replacement. At first, Monizze turned to another party, but it soon found that there was insufficient knowledge and expertise. So Monizze found Localyse, and they first conducted an audit of the Google Maps APIs implementation. This quickly showed that many improvements could be made. From there, Localyse made the necessary optimisations in a short time—the result was a user-friendly and intuitive Google Maps map with clustering.

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Jean- Louis Van Houwe

Jean- Louis Van Houwe

CEO of Monizze

“Thanks to our partnership with Localyse, Monizze can offer its more than 800,000 employees, who receive social benefits from their employers, a new and user-friendly portal to find the best shop to spend their Monizze vouchers in our extensive network of more than 55,000 merchants”

From a static to an interactive map

Challenge

We received many comments at the time of the ‘old’ map, which ran on a WordPress website. Users commented that it was not user-friendly. Moreover, the map was not aligned with our goal: to be a digital scale-up. So that includes a modern, well-functioning Google Maps integration. Besides consumers, our own salespeople also use this application regularly. During sales meetings with potential customers, they show where the employees of the prospect can use their Monizze vouchers. So it was not only crucial for consumers to change but internally for our sales team as well.

Solution

On top of that, little interaction was possible with the old map. Now there is a nice dynamic map where you can apply filters. It works very dynamically and quickly. Moreover, the clustering of markers also gives an overview of the providers in the region. Indeed, if we were to show them all via a pin on the map, the map would disappear completely. Finally, Localyse still offers us advice in further modernising and fine-tuning our Google Maps integration.

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Results

Because the old map didn’t work properly, we used to get a lot of negative calls from our customers. Thanks to the Google Maps Platform, we received 200% fewer calls to our customer service department about the acceptance network map. Since the implementation, Monizze is achieving higher satisfaction scores from both the sales team and consumers. We also see a much more stable environment with no crashes, outages or loading issues. We are even looking at how to expand current services on the map.

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Case

Social Deal – Attract more local customers with Google Maps

Social Deal is a Dutch success where consumers can buy local experience and market leader in the BeNeLux with a 50 million turnover yearly and looking for European growth. Google Maps technology supports us to easily expand without the need of changing the map technology. Joining the platform, partners see a growth revenue, optimise the occupancy rate and attract more new local customers.

logo social deal

The Challenge

Social Deal is a platform on which the most interesting deals in the region are available. To display these deals, we needed a user-friendly environment. It’s key that the ordering process goes very smoothly and only takes a few clicks. Monthly over 1 million experiences are sold. A map to visualise the deals was preferred, a list view would be too cluttered.

The Solution

Google Maps proved to be a great success! We were directly capable to visualise all of our deals in an organised way without sacrificing user friendliness. In fact, Google Maps was our only option because consumers already know this map. Now we visualise all of our deals on the map and the user knows directly where they are. Another big advantage is that we are able to expand in the EU easily.

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Rens van den Berg

Rens van den Berg

CEO Social Deal

“Localyse helped us by providing volume discounts and with valuable advice about the APIs. They keep us posted on the newest developments of Google Maps Platform. As they are a local partner it’s convenient that we can conversate in our own language.”

The Results

Social Deal is growing enormously, every two years we double our customer base and offerings. The integration with Google Maps Platform supports this growth strategy. By adding the “nearby” functionality customer satisfaction has grown 10% and bounce ratio has dropped 20%. Using another mapprovider wasn’t an option since it would detract from our website.

Read the full case study by Google here

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Case

Prato – Ideal job dispatching based on travel time & distance

Prato is a Belgian company that offers innovative HR software and services. Clients include interim agencies, service cheque companies and enterprises. Prato helps with automation of payroll and personnel administration as well as well-founded social-legal advice. The company is part of geneHRations, a network of HR-tech entrepreneurs that implement innovative solutions and turn them into profitable business.

Prato19 RGB LOGO

Some background

Among other HR tech solutions, Prato offers software for service voucher companies to automate the assignment of cleaning staff to households.

Service voucher companies employ cleaners and generate revenue via a voucher system set up by the Belgian government: They can redeem one voucher for each cleaning hour, regardless of the circumstances. In order to make a profit, these companies need to optimize the working hours of their employees for cleaning time to avoid long commutes and planning efforts.

To help these companies with their scheduling, Prato’s software calculated travel times and distances for all employees. However, when their previous API provider’s prices suddenly increased significantly, their entire product was at stake. For this reason, Prato’s Technology Lead Tim Pijpops and Product Owner Daan Gielen asked Localyse for a new solution: Targomo came into play.

Sustaining a profitable product

Challenge: Sustaining a profitable product

Prato’s solution for service voucher companies has been on the market for years, but it unexpectedly came into jeopardy: “The cost of our previous API provider suddenly skyrocketed, making our product virtually unsellable,” Tim Pijpops explains. He turned to Localyse, which had previously supported his API implementation, in search of an alternative.

Solution: Quick & smooth transition to Targomo’s API

Localyse proposed Targomo’s Travel Time and Routing APIs as a cost-effective and powerful alternative. “Localyse’s engineers came to our office and provided hands-on support in implementing the new technology, so Prato could continue to offer its product for a reasonable cost increase” says Daan Gielen. Travel time calculation is at the heart of Prato’s product, as it is central to optimizing employee commute times. After extensive testing of the previous and new calculations, all of Prato’s customers smoothly migrated to Targomo’s API within a few months.

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Employees use different modes of transport

Challenge: Employees use different modes of transport

Service voucher companies have to take into account that their employees in general prefer different modes of transportation to reach the households. They also have to be able to consider daydependent variations in the means of transport to still calculate correct data for the billing process.

An employee travelling by public transit will necessarily lead to other travel time calculations than the same employee travelling by car, and travelling by car during rush hour will take longer than outside.

Solution: Travel times and distances are based on means of transportation

Once the relevant transport modes were defined, Localyse implemented Targomo’s Travel Time API in a way that allows Prato’s software users to customize their calculations: Per employee, they can set a standard mode of transportation (i.e. “car”, “bike”, “e-bike”, “transit”) and adjust it for specific days.

Targomo’s API then automatically takes into account travel speed, possible routes, and in the case of transit, the public transportation schedules in order to produce accurate results. The service voucher company also has the option to visualize the route through Targomo’s Routing API with a single click.

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Results

Profitable, cost-effective software product

Due to Targomo’s competitive pricing, Prato can continue to offer an innovative and highly efficient software product to its customers: “Travel time calculations are at the core of our solution. Switching to Targomo’s API really saved our product,” Tim Pijpops acknowledges.

Scheduling within seconds

To Prato’s customers, there is practically no alternative to fast and automated travel time calculations. Previously, everything had to be done manually, leading to an enormous overhead. “Our biggest client runs up to a million travel time calculations each month and gets results instantly,” Daan Gielen explains. That’s around 35.000 calculations per working day.

High accuracy

In the voucher service business, travel time and distance are relevant for payroll, so accuracy is key. Although the users of Prato’s software have the chance to overwrite some automatically calculated values, this is nearly never done – a clear indicator for the reliability of the results. Gielen adds: “We as well as our customers benefit from the precision of Targomo’s calculations, so we can trust in the data”.

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Case

MachineMax – Drilling into data tracked from mining and construction equipment

The metals, mining, and construction industries rely on heavy off-road equipment for drilling, digging, and transporting goods and people in often remote and difficult to access parts of the world. If this equipment is poorly maintained, is used inefficiently, or even not used at all, it is not being used cost-effectively, which negatively impacts productivity. It could also result in the burning of excess fuel and unnecessary carbon emissions, plus it could lead to expensive repairs that could have been less severe if they were picked up earlier.

Locating and tracking off-road equipment for optimal use

A subsidiary of Dutch energy company Royal Dutch Shell, MachineMax, produces equipment management platforms that connect to sensors positioned on various parts of off-road equipment to monitor its location, usage, and condition. “We connect all the heavy equipment assets that tend to be used in mining and construction to build complete remote visibility of what’s happening on-site through a single user interface,” explains Jennifer Thomson, Chief Growth Officer at MachineMax. “Operators can plug into the real-time data that we collect and use it in a smart way to understand what’s happening on-site and then take steps to improve the performance of their equipment and drive sustainability, efficiency, and profitability.”

Drilling into data tracked from mining and construction equipment 1

Lina Alagrami

Lead Engineer, MachineMax

“We chose Google Cloud and Google Maps Platform because they can scale with us and cover the globe, and also because we knew what we wanted to build and the tools that we needed to do it and Google had them all, so we could use them from the start.”

Mapping out an integrated future

As geopositioning is such an integral part of MachineMax’s offering, it also needed to launch with a suite of tracking tools that would integrate with Google Cloud, and Google Maps Platform was the obvious choice.

“We chose Google Maps Platform because it made sense to work with another Google product, its functionality seemed to outperform its competitors, and from a usability perspective, people are familiar with its tooling, but most importantly it integrates with a large number of APIs for geometry, drawing, places, and visualization,” explains Riccardo Rizzo, Lead React and iOS Engineer at MachineMax.

To provide a true representation of what is going on in a specific location, MachineMax uses a variety of APIs to show its customers the coordinates of where their off-road equipment is located, its condition, where it is in relation to other equipment in the field using geofences and to provide a visual picture with satellite imagery.

“With tools such as Heatmap Layer we can show, for example, excessive idling. This is where a vehicle or multiple vehicles are sitting with their engines on, burning fuel, emitting CO2, and being unproductive. And, we might even be able to show that this is happening because a load of dump trucks is backed up waiting to be loaded,” says Kate Stephen, Head of Product and Design at MachineMax.

Drilling into data tracked from mining and construction equipment 2

Getting data from remote areas

Although MachineMax implemented its Google Cloud and Google Maps solutions in-house, it wanted to further improve the accuracy of its GPS. Google suggested it call on the support of Google Cloud Premier Partner, Localyse to help it with this specific issue.

“We needed to try and increase the accuracy of our GPS, and there are several factors that can influence this, but the biggest factor is the number of satellites in view,” says Rizzo. “Localyse helped us to filter out all the GPS points that use a low number of satellites and also to use machine learning to reproduce a point from a previous point to help create a more accurate picture.”

Jennifer Thomson

Chief Growth Officer - MachineMax

“We know that with the support of Google Cloud and Google Maps, we can drill even deeper into the parameters of the data that we collect to help our customers become more profitable, more efficient, and more sustainable.”

Drilling into data tracked from mining and construction equipment 3

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Case

Localyse optimizes expense management experience for Mobilexpense

Mobilexpense is a European tech group committed to simplifying expense management for multinationals and SME’s. Their software offers an all in one expense management solution. Furthermore, Mobilexpense has an impressive portfolio which consists of companies such as ABInBev and Promximus.

juist mob kopieren

Improving Mobilexpense’s software

Mobilexpense’s software is integrated in a wide range of travel providers. This allows for: 

  • Seamless travel management
  • Total trip cost reconciliation
  • Enhanced user experience

Thanks to the use of location intelligence we were able to optimize Mobilexpense’s software. Now, the users’ experience when booking and expensing travel is even better. Localyse assisted Mobilexpense in integrating Google Maps’ API’s in its product portfolio, improving the legal mileage calculation process. Now, a more accurate overview can be consulted to view the legal mileage that needs to be reimbursed to employees.

Together with receipt data extraction, daily allowance calculations and direct links with credit card transactions, location intelligence integrations provide Mobilexpense with a reliable and easy-to-use expense management tool.

Location intelligence Integration

Together with receipt data extraction, daily allowance calculations and direct links with credit card transactions, location intelligence integrations provide Mobilexpense with a reliable and easy-to-use expense management tool.

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Case

How Brussels used ODIQ as an alternative to traffic cameras

Brussels is the capital of Belgium and Europe. With 1.2 million inhabitants it counts as one of Belgium’s biggest cities. During the pandemic, Brussels used the reduced traffic in 2020 to accelerate their mobility plans. To follow up on the adjustments in real-time and historically, Brussels Mobility contacted Localyse.

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Localyse monitors all major access routes in Brussels

Mobiris, the dispatching center of Brussels Mobility, has about 500 cameras to monitor more than 350 km of roads in the Brussels-Capital Region, ‘one might think that’s plenty’ but in reality it’s far from enough. That’s why Mobiris, was looking for an addition/alternative to cameras. Localyse, introduced Brussels Mobility to ODIQ which uses Google Maps’ Floating Car Data, this is worldwide GPS data from smartphones on which Google Maps is installed… an inexhaustible, representative data source.

A versatile tool

ODIQ can be used for carrying out traffic analyses before a decision or intervention and after. Furthermore, the tool allows to detect bottlenecks intersection by intersection, and find out the reason for them: whether it is a wrongly adjusted traffic light, an illogical right of way or a bicycle lane that should be moved with ODIQ, it all becomes clear.

Brecht Debusschere

Traffic situation monitoring team lead

At trade fair we saw a presentation on ODIQ, and it seemed to be the ideal tool for gaining quick and easy insight into traffic situations by mapping traffic flow in real time.

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Case

Lantis: real-time traffic data during major construction in Antwerp

Lantis realizes complex mobility projects in the Antwerp region. They build sustainable and functional connections for all types of road users, this enables the Antwerp city and region to flourish.

lantisnieuwsartikelnaam

Traffic control in Antwerp during major road works

Being stuck in traffic… a massive source of frustration, for thousands of people it’s the day-to-day reality in and around Antwerp. The Oosterweel project will be the solution to this bottleneck and is going to make the traffic flow, safer and more smooth. Next to improving mobility, the Oosterweel project will also contribute in making the Antwerp region more livable.

Managing traffic congestion

Before this project is completed, road works will continue for a couple of years. The challenge: to limit congestion as much as possible and guarantee safety. A lot of planning will be done to determine which alternative roads should be foreseen at any given time and where cut-through traffic might occur. To get an overview on this, Localyse, uses ODIQ to continuously analyse 250km of traffic. More information about this project can be found in the full use case below.

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Case

Sint-Niklaas: from a congested town square to a green oasis

Sint-Niklaas is a modern city in the East of Flanders, Belgium. With more than 78.000 inhabitants it counts as the second biggest city of the region. Next to that, Sint-Niklaas features Belgium’s biggest square with 3.19 hectares.

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Transforming Sint-Niklaas

Infrastructural improvements will start in 2023 to transform Niklaas’s square (Grote Markt) into a beautiful, welcoming location. In order to achieve this, a lot of trees will be planted and a traffic filter will be installed on the access routes toward the town square. As a result, the car park under the town square will only be accessible from the north of the city.

Els De Deken

Mobility Consultant

This traffic analysis has enabled us to make a correct estimate of the necessary parking area on the north side of the town square. Research made it clear that there is only a capacity problem at rush hour.

Optimal results through various data sources

To understand the impact of the proposed measure, Sint-Niklaas asked Localyse to get an overview of the current situation, before and during Covid-19. To gather optimal data we combined a number of data sources:

  • Origin-Destination analysis
  • CCTV analysis
  • Data extrapolation
  • ODIQ

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Case

LISER: Data analysis made easy

The well established public research organization LISER delivers valuable data which is used for numerous studies. This comprehensive data is gathered through various sources to obtain objective results. LISERS’s main objective is to support public policy on a national level as well as on a European level.

LISER logo

The value of demographic address data

LISER gathered lots of market and demographic address data which was then used for their research and data analytics. Their main goal was to visualize this data and plot it on a map to generate insights. This map could then be used as a guideline to make informed reports and analysis regarding the European labor markets.

Localyse’s role

Localyse, chose for Google API’s to structure, clean and enrich LISER’s bulks of datastrings. We were able to execute this with a massive success rate therefore, their data could be used in specific research operations.

Success

  • Large amounts of data were made easy to use
  • Localyse was able to improve the quality of LISERS’ data by 55%

This method is also applicable on other heaps of data, making it possible to generate insights and take well substantiated business decisions. Think classic CRM, e-commerce or many other sorts of data.

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