Caring for a car is a serious gig. For many, a car is the second most expensive purchase they will ever make after a house. 

Owners will do many things to help cars keep their performance and looks.

But there’s another serious reason why you should be properly maintaining a vehicle. By keeping a car in great shape, drivers can prevent up to 30% decrease in vehicle efficiency. That’s plenty of fuel savings and every effort counts when it comes to cutting down on energy waste. 

Filter the Information Well

For car care tips, ‘just anywhere’ isn’t a great source of information. Maintenance tips you learn from friends or read about online can potentially do more harm than good. 

On this list, we discuss common car care misconceptions as well as things car owners overlook in their maintenance program. 

For the average car driver, this list should inspire you to double-take on everything you know about proper car care.

1. Not Checking the Engine Oil Type (or Using the Wrong One)

This isn’t about choosing between the expensive “synthetic” option or the cheaper “conventional” engine oil. 

Using the right engine oil means knowing what viscosity of oil should be used on your car. The manual is best place to check for the numbers. Alternatively, you can always Google. For most cars, it’s either 5W-20 or 5W-30. 

Viscosity is a measure of how “thick” oils are. Different engines need different thicknesses of oils. Usually, a lower number after the dash means thinner oil. 

This is an important item to check as you might be unknowingly damaging your vehicle. Shell’s Lube Match tool here can help with your search. It’s a great quick guide but use it only if you can’t find your manual.

2. Defrosting Your Windshield with Hot Water

Stop doing this immediately!

Some people do this during cold winter mornings because they can’t wait for the ice to thaw. Other drivers think it’s to prevent the car heaters from overworking first thing in the morning. 

Doing this can shatter your windshield. 

This is very simple science. Glass, when exposed to cold temperatures, shrinks. By dousing it with water, glass expands too quickly. The integrity fails and poof! — shards on your dashboard.

The heating system in cars were built for defrosting windshields. Using them doesn’t mean you are overworking them. The warm-up actually helps the engine heat-up properly for the ride in cold weather. 

If you need to move fast in the morning, park in a garage or park facing the sun so sunshine can gradually melt off the ice build-up before you even walk out of your house.

3. Water instead of Coolant in the Radiator

Is using water in the radiator OK in warmer climates? No.

Antifreeze’s obvious advantage is in the name. If you use it in colder regions, it will never turn solid in the radiator. It will never expand and break hard-to-reach parts. 

But how does it benefit people who never experience freezing temperatures?

Aside from antifreeze, coolants are also designed to have anti-rust properties. They absorb some of the electrolysis (the potential to rust) from the metals in the radiator.

This is crucial as these parts are often exposed to extreme conditions and moisture.

By raising the boiling point (not just freezing!), coolants are more resistant to overheating. Regular water can boil at 100-degrees Celsius, evaporate, and create a high-pressure environment. A coolant, on the other hand, can keep removing heat beyond that temperature.

Using water might save some money but cutting corners here will catch up with you after a few months. A trustworthy mechanic will tell you to use coolants all the time. 

4. Ignoring maintenance schedules

Skipping the car wash is one thing but ignoring maintenance schedules is begging for a headache. 

Car maintenance isn’t about fixing what’s already broken. It’s about ensuring things are in order and replacing parts or components that were designed to be replaced. 

AI Parts’ predictive maintenance tool checks these components and it uses advanced data processing and modeling to predict when you will need to have them replaced.

Maintenance schedules from manufacturers are meticulously estimated. It’s very important that you pay close attention to the maintenance schedule. With modern cars, many issues don’t surface until it is too late.

For example, using burnt oil won’t be very noticeable until it burns your engine. By then, a 30-euro oil change have grown to a couple thousand.

5. Not using it enough

On a previous article, the AI Parts blog has discussed how to take care of cars during the quarantine period due to the pandemic. This was a timely list because cars were never designed to stay put for a long time. 

For people who carpool or have two or more cars, be sure to regularly use every car.

Keeping them in the garage can drain batteries, ruin tires and build rust since oil and lubricants don’t get distributed. Gas can also go stale. 

Can gas really go stale?

Yes. If you’ve ever had a whiff of gasoline or diesel, you know the strong odor is due to its ability to evaporate quickly. The problem is it’s hard to tell when fuel has gone bad (Don’t go around sniffing gas!). Many experts say by three months, the gasoline would have significantly degraded that it can affect the engine performance.

6. Ignoring recalls

Recalls are public announcements by manufacturers acknowledging an error in manufacturing. Usually, these manufacturers take it upon themselves to offer free repairs.

However, many people don’t respond to these recalls because while they’re free, they can take up a lot of time. Millions of people ignore recalls because of this reason.

While the issue might not affect drivers immediately, it probably will in a few months or years.

Sometimes, it’s about safety like with Honda’s airbags. Sometimes, it’s problems in manufacturing like in the 2020 Porsche Cayenne’s transmission oil pipe.

Due to manufacturing advancements, recalls are rare and usually involve a  smaller number of cars. In fact, the biggest one happened back in 1981 with Ford recalling over 21 million vehicles due to problems with the “Parking” gear. 

7. Using the Wrong Maintenance Parts

This can be out of a driver’s control. When they drive up a shop, they usually have nothing except the mechanic’s word to stand on.

Basing options on the price won’t cut it. The most expensive option doesn’t always guarantee the best performance.

There are thousands of types of car parts and for the more obscure parts, drivers don’t have the choice. A quick research online and you’ll find many people complaining about bad car parts, even those that lead into dangerous accidents. 

AI Parts’ Techpro dashboard is trying to remedy this. With its integrated car parts selection, mechanics worldwide can contribute to a database of trusted car parts and suppliers. They can also flag incompatible parts so others don’t make the same mistake twice.

When you’re cruising at 100 kmph on a highway, a cheap, failure-prone part shouldn’t be on your mind. 

8. Not Changing Windshield Wipers

Windshield wipers are built to a standard set of specifications. Why? Because manufacturers want them replaced regularly. With many brands making wipers in the market, they’ve also become relatively inexpensive.

These wipers are made of rubber and a metal and plastic mount.

As the rubber breaks down, your car wipers can be rubbing sharp metal against your expensive windshield. Scratches from this will definitely be permanent.

Replacing wipers every six to twelve months is a good rule.

Anything that might cause unsafe driving should be replaced. If bad wipers start ruining the view from the driver’s seat, it’s time for a replacement.

9. Dismantling Parts You’re Unsure Of

Saving some money by going D.I.Y. is great. In fact, some car manuals are so detailed they expect drivers to do some maintenance work.

But don’t go overboard. Sometimes, it’s not as easy as removing a nut or a screw and putting it back. If there is a need to access a specific part or system in the car, make sure it is something you are very familiar with. 

A simple mistake, especially in a fast-moving, high power vehicle, is a steep fall.

A trick to know what you can and can’t do at home is talk to a trusted mechanic. You might even learn a thing or two. Having some interest in your car and its upkeep can easily save you some money.

A Little Effort Saves a Whole Lot!

By taking care of the car you have, you’re taking care of a lot of other important things: your wallet, your time, the environment, and of course, the safety of the driver and passengers. 

Here at AI Parts, we imagine a future when we can provide more powerful tools for drivers and mechanics alike to give cars the best care.

We see important benefits for everyone in this space. We hope the list has broken some common misconceptions and practices you have about car maintenance. 

A recent study claims training an AI systems produces five times the lifetime emissions of a standard car.

Two hundred eighty-four tonnes of carbon dioxide are allegedly pumped into the air every time AI is taught a new language. For many, it felt like the technology was another disaster waiting to happen.

Since the study’s release, many have highlighted flaws in the method of quantifying AI’s carbon footprint. For example, many AI platform providers (Google and Amazon) are actively seeking renewable energy to power their data centers. And the “training” used in the method isn’t exactly how most applications are made today.

The strongest rebuttal, however, would be AI’s incredible potential in making any sector more environmentally friendly. 

At AI Parts, our goal is to see our product contribute to the positive impact of AI and machine learning on the environment. With our predictive maintenance dashboard and Techpro, we see the potential to decrease inefficiencies of cars and a smarter supply chain for aftermarket car parts. With our products, we aim to shrink waste on repeat logistics activities as well as prolong the service life of vehicles. 

Top Three Polluters First

In this article, we highlight sectors infamous for their negative impact on the environment. 

These sectors are some of the biggest in the world, consuming most of the resources worldwide. And while many say they are moving too slow, these sectors are already driving positive change through AI. 

The first item on the list is the reason you can read this article.

 Power

Generating electricity is, for obvious reasons, one of the biggest polluting industries globally. It pumps out about 25% of the world’s total greenhouse gas emissions.

Even with the rise of renewable sources, the burning of coal is still the world’s largest source of electricity. That can remain true for half a decade more. 

Greener Energy with AI

Many technologies that produce cleaner, zero-emission power already exist. Solar energy, hydroelectric, and wind energy are all significant sources of power. 

In April of 2019, renewable energy sources in the US surpassed generation from sources like coal. This achievement bookmarks the progress towards environmentally-sustainable options.

AI’s role isn’t finding a new alternative, it’s in how these options integrate efficiently and flawlessly. A major flaw of renewables that makes it hard to sell is its unpredictability.

Here, AI’s impressive capability of high-resolution modeling takes over. Last February 2019, Google’s AI program DeepMind modeled and predicted the electricity generation by a 700 MW wind farm. 

Wind conditions conducive to power generation can be very hard to predict. However, Google’s program can see 36 hours ahead of anyone. This allowed the wind farm to be more certain in selling energy and meeting commitments.

This sort of technology can allow renewable energy sources to grow and scale their business with less risk. 

Smarter Distribution Networks

If there is a stronger understanding of the availability of renewable energy, a smooth transition to a fully renewable future isn’t hard to imagine. 

This pairs nicely with the ability to predict demand. Platforms like Origami Energy uses machine learning to simplify trading in renewables by forecasting. In Norway, sensors feeding into AI sense irregularities and identify points-of-failure for power distribution. 

The use of AI for optimizing industrial-scale consumers of electricity will also leave a dent in human power use. For example, Google used AI to tweak cooling systems for its data center. 

Instead of coolers working constantly, they predict heat generation on their servers and respond accordingly. This additional step reduced energy use for Google’s data centers by an impressive 40%. 

 

Transportation

Transportation is the sector that burns most of the world’s petroleum. In Europe, 25% of greenhouse gas emissions are due to transport. From this number, road transport (cars, trucks, buses, etc) accounted for 70% back in 2014.

This is why Europe began offering generous tax cuts for low- and zero-emission vehicles. 

Smarter Maintenance, a Gateway to Increased Efficiency

On a consumer-level, AI Parts predictive maintenance tools can help with maintaining a car’s mileage. 

A car that isn’t maintained properly can easily burn 30% more fuel than one that is kept in top shape. Through the AI Parts predictive maintenance software, drivers have one platform to monitor all replaceable car parts and possible points-of-failure. This provides users with optimized information on how to maintain their vehicles. 

Predictive maintenance also extends the service life of a vehicle. This means less demand for mined metals and less materials being converted to scrap. Low-emission mobility can be achieved through AI modeling, even for not-so-new vehicles so it can easily impact all car owners. 

Next-Level Optimization

Optimization in logistics has turned a new leaf with AI. Its potential impact on the environment in this regard is impossible to deny. 

In real-world tests such as this one done in Indonesia, a logistics company saved millions of dollars in fuel cost by harnessing AI’s route optimization powers. For a dairy company in the UAE, AI’s route optimization saved 27% on distance travelled and 16% in the number of routes required for its deliveries. 

AI isn’t confined to adapting to what’s already there. It can also design it. 

Building Cities with Optimal Mobility

In 2017, Toronto’s politicians voted for the permanence of a 2.4-kilometre bike lane. This wise decision was influenced deeply by data provided by AI.

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This event provides a glimpse of how algorithms can influence the way people build their cities. London, another major city, logs 780 million events per day through Transport for London(TfL)’s 14,000 sensors scattered around the city. These data, fed into neural networks, can help the agency plan its next steps.

Optimal road network planning will also reduce traffic jams. This can result in 12% carbon emission savings. Watching how AI already influences the way people travel, this significant cut on pollution is achievable.

 

Manufacturing

Industry, or everything that turn raw materials into a product, is the third most polluting sector in the world. Vast amounts of energy are consumed in manufacturing. Nature is displaced in the search for raw materials. The amount of waste products it churns is a huge problem. 

One notorious example is the fashion industry which is entirely responsible for 10% of the world’s CO2 emissions. Did you know it takes 3,700 liters of water to make a pair of jeans?

AI doesn’t seem to back down from a challenge. In the production of semiconductors, AI cuts scrap rates to 30%. Simply put, more materials result in product and not scrap meta. 

AI-powered preventive maintenance software can also be used within the manufacturing industry to make sure all types of machinery are in perfect condition function as efficiently as possible. Platforms like GE’s Predix system decrease losses this way. 

Smarter supply chain management will also shrink losses of products while in transit. 

AI in this field will mean manufacturers can have better projections and match market demands perfectly, instead of driving up volume blindly. Manufacturers can start creating volume and avoid expensive surplus.  

R&D

When it comes to manufacturing, AI holds the most promise in research and development.

Innovation can be very costly, high-risk and it requires a lot of time. But with the power of AI, simulating millions of conditions to test an idea cuts cost and time spent to the minimum. Many industry leaders have invested in this idea, like Porsche’s laboratory. With it, car designers cut a lot of cost and time in testing and improving their ideas. 

The impact of AI on research and development has the potential to change how every product is made and how they work. With sustainability becoming more of a global goal, innovators within the industry will definitely consider sustainability as a desired outcome. 

 

The Future is Bright Green

It’s hard to conclude in one statement just how impactful AI can be in making civilization, business titans and all more sustainable. These examples barely scratch the surface but they give a great idea of just how powerful the technology can be. 

With investments pouring into startups, software and services in AI, it’s great to see Mother Nature benefit from human ingenuity.

The state of AI within the automotive industry

Automotive companies are marching to the low hum of the Fourth Industrial Revolution. This new chapter, marked by a drastic change in the way the world works, maximizes the use of robotics and AI. 

As COVID-19 continues to challenge even the most robust economies worldwide, the situation set a stage for AI systems to demonstrate their capability. AI did not disappoint. 

With any emerging innovation, watching it merge with existing processes is always exciting. Unsurprisingly, with no established method, carmakers are introducing the innovation from very different directions. 

On this list, we handpicked innovations that show the many ways the industry is unlocking the potential of machine learning and AI. 

Toyota 

Toyota, by far the biggest-selling car maker from Japan, was lukewarm about robots and AI on factory floors. Amid reports of doubling efficiencies by competitors, the legendary Toyota Management System puts human ingenuity next to nothing. In 2018, they made waves by decommissioning robots and bringing back skilled, human workers. For then Head of Manufacturing and then EVP Mitsuru Kawai, “We always start with manual work.”

But their interest in AI did not vanish, it only refocused. In 2017, Toyota established Toyota Ventures AI, a venture capital firm dedicated to startups in machine learning and artificial intelligence. Through this Silicon Valley-based VC, they acquired technology bringing AI-powered quality assessment to factories. However, their focus is strongly on AI-powered driver assistance and self-driving automobile technologies. 

Hyundai and Kia 

Hyundai and Kia are sister car makers from South Korea, a country with the largest ratio of robots to humans. But recently, they have leveraged AI beyond manufacturing. 

Kia Motors America has launched KIAN, a chatbot powered by artificial intelligence. With the ability to respond to queries and even schedule test drives, the NLP chatbot was a success. KIAN converts three times more customers than its website. The AI Parts blog has recently identified automotive sales as a strong opportunity in the automotive industry for AI. 

Hyundai has also announced VEX, a wearable robot designed for its factory workers. Using AI and sensors for human movement, it enables an 80-kilogram man to lift a 3-kilogram tool like it’s nothing. Hyundai’s vision of the future factory is run by superhumans, or temporary cyborgs of sorts.

For drivers, Kia and Hyundai also developed the next generation AI-powered gearbox. Using map data, road conditions, weather, etc, it optimizes gear-shift when making turns so the car doesn’t have to wait for the brake pedals. 

BMW

BMW is experimenting with AI in the realm of automotive design. They’ve had some early success, at least in generating buzz and excitement. 

One of its latest concept cars, a futuristic vehicle with “skin” that stretches and adapts to wheel angle has gone viral. Using interlocking triangles which BMW calls “Alive Geometry” shows how future cars can change shape on the go. Remarkably, this design was built with artificial intelligence. 

BMW design expert Holger Hampf says they are still exploring how AI can influence their product design. In his process, AI and neural networks build from data — parameters, conditions, specifications – to which designers must add beauty.

With AI, creative product designers become moderators where they are expected to distill, refine, and cultivate ideas by AI. It is certainly exciting to see what lies ahead for BMW with this design method. 

VOLKSWAGEN

Volkswagen’s approach is a lot like Kia – enhance what is essentially human first. 

“For us, the key question is, can we augment the human being by giving that person added artificial intelligence?”, CIO Martin Hofmann told Automotive World. This is easily demonstrated by the use of collaborative robots or “cobots” on their production floor. In the future, robots can take over more undesirable tasks. Volkswagen calls this the Self-Learning Factory. 

The uniqueness of Volkswagen’s approach is in how human-centric it is at every level. It’s vision: build robots anyone can train. Using AI, these robots should be easy to configure. With machine learning, they will also learn to improve their function or “get better at their job”. So for example, a factory worker can teach the robot to lift one week, hold a drill in the next, etc. This approach maximizes the adaptability of the robot.

Volkswagen subsidiary Porsche is more ambitious. The brand has released a manual for company execs on how to be a top-down AI-driven business. The luxury car brand uses AI and machine learning to test its self-driving and assistive driving technologies. The Porsche Engineering Virtual ADAS Testing Center (PEVATeC) also generates millions of real-life driving scenarios to test new technologies faster and for cheap.

FERRARI 

Trust Ferrari to integrate performance with technology, including AI. At CES two years ago, Intel has announced its partnership with Ferrari North America. Through cameras mounted on drones, the tradition of racetracks meets artificial intelligence. 

Intel’s system will capture images and a neural network will process these images at lightning speed. This provides drivers, racing teams, and fans valuable data in realtime. 

Built for Each Other 

From car building right down to the racetracks, it’s hard to believe AI and the automotive industry weren’t built for each other. At AI Parts, unlocking the potential of artificial intelligence and machine learning is our goal. Just like these trailblazing companies, we believe in the potential of putting two great things together. 

In the past two decades, the automotive industry has relied heavily on emerging technology to lure car buyers.

With pressure from the success of newcomers like Tesla, legacy brands like Toyota, Ford, and GM saw how “high-tech” attracts customers. For global consulting agency McKinsey, AI is the automotive’s industry “new value creating engine” and right here at AI Parts, we are building products that use AI to unlock brand new value in the automotive maintenance industry.

With some $11.2 billion poured into AI by car manufacturers, it’s hard to imagine a future without it. So how and where exactly is AI revolutionizing the automotive industry?

1. Autonomous Driving and Driver Assist

This technology is probably the most subscribed-to field of automotive AI. Batmobiles and spy cars in movies have turned self-driving cars into a global dream. And now, driverless cars are here.

Beyond cinematics, self-driving cars make transport safer and smarter for everyone. With AI’s ability to handle larger data streams and make decisions in a snap, it can cut traffic congestion, reduce car emissions, and even change the concept of car ownership altogether. 

Carmakers are taking huge steps to make this a reality. Just check out Tesla’s onboard AI computer with a proprietary chip and 16 billion transistors. But tech being ready is just half the story. It’s still hard for people to let go of steering wheels.

To ease the transition, many carmakers are rolling out AI-powered driver-assist systems. Today, there are plenty of cars with smart assist technology for under €27,000.00. While they can’t steer a car, they make driving safer for more users every day. 

2. Design and Manufacturing

The first step in manufacturing is designing a car. Two years ago, AI did just that. The Hack Rod is the first-ever vehicle designed by AI by just processing information on existing vehicles. Beyond automating design, AI’s modeling capabilities will also speed up prototyping, testing, and evaluation.

In manufacturing, AI has proven its worth in quality control. Ford is already using AI for monitoring car seat production. In F1 development, AI even takes a more crucial role by spotting weak communication between members of the design team.

On factory floors, AI can oversee human-machine interactions and identify risks before damage can occur. Strategic scheduling and complex process management are perfect tasks for machine learning systems. Paired with robotics, it’s easy to see AI’s potential in automotive manufacturing as boundless. 

3. Marketing and Sales

Back in 2018, Lexus used AI to write an ad based on award-winning presentations from other products. Now, imagine the same technology building an ad for every customer using their personal data. Tailor-made ads for customers could be the future of car advertising. 

AI in marketing is about data crunching. Capturing and engaging car buyers begin at knowing as much as possible about them. How companies use and react to the increasingly personal information available online will be key in capturing the distracted consumer of the future.

The personalized approach goes beyond ads. With neural language processing (NLP) like the one used on Saidtext, chatbots can provide bespoke advice. They can answer customer questions, send follow-ups, and assist buyers until they make the purchase with minimal human intervention. 

4. Predictive Maintenance

Maintenance is a huge part of the automotive industry. With AI, maintenance will shift from being reactive to predictive. The AI Parts predictive maintenance dashboard wants widespread access to this technology. 

AI’s superior prediction capability makes it easy to forecast exactly when car components reach the end of their service life. With data from lab testing, environment, car use, and a host of other factors, such analyses report in easily actionable instructions. AI in maintenance will mean less breakdowns and greater longevity for cars.

Predictive maintenance also leads to greater parts availability and less downtime for car owners. With AI Parts’ Techpro, auto mechanics will be choosing the best-performing replacement parts while understanding trends in customer demand.

5. AI in customer experience

AI can turn cars from tools into collaborators.  Imagine stepping into a stranger’s car and your music plays, displays show your favorite clips, and the lights shift to a familiar hue. AI-powered cars will learn every person’s riding preferences, react to stress levels, and even driver mood. Imagine this personal experience every time you carpool or take a cab.

AI will also improve the aftersales service. AI-powered chatbots can provide instant replies and handle complex customer queries. Stronger AI implementation will not only increase efficiency but will allow customers to enjoy a more tailored service. 

A Future That’s Already Here

Many of the world’s largest companies now rely on AI and the automotive industry is now catching up the best way it can – at breakneck speeds. Once called out for being “slow” on capitalizing the benefits of emerging technologies, the automotive industry is now poised for a transformatio. 

Here at AI Parts, we’re playing our part. We’re leveraging AI and machine learning to benefit car owners in ways rarely seen before. With smarter predictive maintenance, the potential impact on customer experience, safety, and on the environment will be remarkable. 

With billions of people stuck at home, it’s not the time to think about cars. However, we can’t let you believe they require no attention while they’re left parked for weeks. 

Cars are not designed for staying put but with global lockdowns against the pandemic, car owners were left with no choice.

And a car that won’t start or a huge repair bill will be an awful surprise when you’re ready to get back to what many call the new normal.

Here at AI Parts, we want to make auto maintenance smarter.

With predictive auto maintenance, you can expect the safest, most efficient vehicle every time. But to help you out in the meantime, we’ve come up with a list of six simple steps to help you keep your car OK while it’s not in use. 

1. Clean up your interiors. Make sure you leave nothing damp (wet umbrellas, gym clothes, dirty shoes) inside that can become petri dishes for moulds or bacteria. Check if you have any food left inside your car. Aside from moulds, stale food and foul odours can attract critters. You wouldn’t want to be welcomed by roaches or mice next time you get in your car. These unwanted visitors can chew through important (and expensive!) electronics, too.

2. Park in a covered area. This protects your car from the elements including the harsh sun and rain. If you don’t have a garage, consider a car cover. A good car cover offers protection from particles and the sun BUT make sure your car is clean before you cover it. Dust, sand, and small rocks stuck between the cover and your car can rub nasty scratches on your car. 

TOP TIP: Never park under the wrong tree. Tree sap can be very damaging to your paint job, just like bird poop (or bird bombs). While a tree can provide some shade, these chemicals from nature will do serious damage to car paint. 

3. Keep a full tank if you can. More fuel means less moisture in the gas tank. Filled tanks are more resistant to rusting or corrosion. With gas prices dropping, this should be easier to do and a car with a full tank always offers some additional peace of mind.

4. Don’t engage the handbrake. It’s better to use the “P” or park mode on your car for extended periods. The handbrake forces contact between surfaces that can lead to sticking through time. Old-school bricks against your tires is a more sustainable way of making sure your ride stays put. 

5. Be generous with tire pressure. Inflate tires to the maximum possible pressure (check manufacturer guidelines). You will also need to move the car now and then. When one section of the tire bears the entire weight of the vehicle for days, this can cause “flat spots”. A bad flat spot means you’ll have to replace your tires. Oof!

6. Try to run your engine for at least 15 mins once every two days. This little trick will keep your battery charged. To prevent a dead battery, ensure all lights are shut off (including the tiny one in the glove box). If you have a second car that’s not getting used, you can detach the battery terminals.

These small things will be greatly appreciated by your car. If you follow the list, once you can go back to your daily commute, you’ll be without any hitch. For now, make sure you check on your car and limit unnecessary trips. 

For the past months, AI Parts has been working hard on building three different products for the automotive maintenance market. Designed for different kinds of users, all share a common backbone: the startup’s innovations in AI and machine learning technology.

With our recent patent being granted, we’re even more excited to introduce to you the results of our hard work. Designed to revolutionize the industry, our software will ease work for trusty mechanics, help predict customer demand, and most importantly, provide a better experience for everyone who drives a car. 

First on the list is a toolkit for automotive maintenance providers.

TechPro – The Smart Workhorse

This app integrates every idea that AI Parts is built on. Designed for auto maintenance shops, the Techpro platform makes smart suggestions on replacement parts and spots errors before they can happen.

The platform leverages available research data on car parts, maintenance, expert user input, a rich supplier database, and a strong feedback system to do all the hard work.  

TechPro keeps its users from drowning in options for auto parts suppliers. The deal is simple: use AI and machine learning so users get the right parts, every time. This app will cut waiting times, shrink losses from ordering wrong or low-quality parts, and increase customer trust and satisfaction. 

EverDrive – Predictive Maintenance Dashboard – AI for Every Driver

ALL cars on the road share one need: maintenance. This powerful tool from AI Parts reduces the chances of “surprise” breakdowns for any driver. 

Using the Cox proportional hazards model, the dashboard uses AI to aggregate factors (weather, driving behavior, car make, condition, and many more) to predict when any car part will fail. This helps drivers seek preventive maintenance before minor fixes become big headaches. 

Mixing this technology with TechPro, the potential becomes endless! If a TechPro-powered maintenance provider can access predicted replacements or breakdowns, it can stock up on the right parts. Drivers and shop owners can finally say goodbye to ridiculous waiting times for parts and preventable breakdowns!

AI Parts has created a simple demonstration that can predict when you will need to replace your car battery or brake pads here. It’s a rough demo but it’s a good peek on what the technology will do and its ease-of-use.

SaidText – Powerful AI that Goes Beyond Voice Memos

SaidText is an enterprise solution designed for uninterrupted work. Need to provide instructions to members of the team? Just talk to the app.

The app will go beyond translating words to text. Using AI, it will identify the urgency of your request and send it to the appropriate receiver. 

With TechPro and the Predictive Maintenance Dashboard, the SaidText app can be used to order automotive parts, file issues with vehicles, and other important tasks. Use the app and say “I need a set of 2012 Peugeot 205GTi spark plugs now!” and you’ll get an estimated time of delivery before sunset. With TechPro’s technology, you know you are getting the best choice every time without flicking through a list.

Beyond automotive, SaidText can be appropriated for other industries like hospitals, manufacturing, or other fast-paced industries where a static memo just won’t do. 

 

The Hard Work Continues…

Automotive maintenance and the automotive aftersales industry is valued in the hundreds of billions. We think this giant global industry deserves impactful changes using the latest AI and machine learning technologies. As we enter the testing stage, we are making sure every day that our products and technology are ready for the real world before release. 

If you want to learn more about our products, please reach out to us or follow our LinkedIn page for constant updates: https://www.linkedin.com/company/ai-parts/ 

 

AI Parts Announces Patent for AI Use in Automotive Maintenance 

10 AM CEST, Parma, Italy – AI Parts is pleased to share the patent protection for its breakthrough AI technology has been granted by the Italian Patent Office (UIBM), with Patent No 102018000002691. 

The specifications for the patent illustrates AI Part’s proprietary innovations for the automobile maintenance industry. This includes software for spare parts purchasing that uses machine learning integrated with a feedback database. The same technology will power AI Parts products like TechPro and its predictive maintenance platforms currently in development. 

A Platform of Unlimited Insight

The patent specifies the use of software that makes suggestions on replacement car parts for specified vehicle models. Targeted at car maintenance specialists, it streamlines the identification of the required spare parts and ordering. 

The software works with existing data on car parts and will rely on expert car maintenance personnel to verify and correct suggestions. An important feature of the platform is an intuitive feedback system to assess quality, compatibility, and other important attributes of car parts. 

By collecting feedback from expert users (like car mechanics and automobile maintenance professionals), the software presents the best options for every need. Like many adaptive AI technologies, the platform makes better suggestions with continued use.

Empowering Consumer Use

The patent expands to the use of AI and dynamic data sets to help car owners find and order the correct aftermarket parts for their vehicles. Drivers will have access to the best options, curated by an ever-growing database of customer experience. This cuts waiting times and lessens errors in purchases. 

About AI Parts

Our company, AI Parts, wants to revolutionize the aftermarket automobile maintenance industry by predicting breakdowns before they can happen. The technology will impact the global auto parts distribution systems and improve the overall customer experience. AI Parts minimize the chances of bad surprises on the road and cuts down waiting times for parts. 

AI Parts has three products in development. Techpro, Saidtext, and a dedicated predictive maintenance dashboard. All three are in the testing stage. 

For additional information, please e-mail hello@aiparts.it

Visit our website at https://www.aiparts.it/