Essentials to develop Uber like On Demand Taxi Solution

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On Demand Cab Booking is a state of art Cab or Taxi booking platform.

Target market: Fleet Management Companies, Car Rental Companies, Logistics Companies.

Why On-demand Taxi booking is an important and utmost priority for booking the cab online?

With many enterprises functioning the area of the Fleet Rentals and Car rentals or truck rentals, it is very important for them to make sure that their cars, fleet, and assets can be booked online. Having this done they need a very strong reliable platform to alleviate their business online and free them from the hassle of booking cabs online using the traditional way of calling and going through the call centers. We had an interesting case study of a company based out in Ghana, the entrepreneur from the logistics domain had all his business domain of booking the cabs on telephone and cash collections done manually.  With having no online cab booking solutions the company had never a chance to grow the business and was in the same mode since years and they had a marginal growth which has been observed. This made them operational issues such as loosing out the valued customers, loosing out the drivers who were brought in mode cash for the company, missing our assets on the road and fuel theft and cash shortfall issues.

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Moreover, the users in the city lacked the great public transport system and online cab booking solutions such as Uber, Lyft was also now able to cover the market out there.

 Online cab booking system solves the problems of 3 stakeholders.

  • the drivers: by making them drive with pride – they are now official partners of the Cab Management or Taxi Rental companies.
  • the riders: they are now happy because their solution to the cab booking is easy and on the go. They are now pocket light since they do not have to shell our the hassles of having their own cab and now can book the cab online through the platform and be hassle free.
  • the enterprise – which is running the platform – since they are now autopilot with their needs
    • Increase in their revenue by multifold
    • Managing the riders and drivers online
    • Resolving the issues of cash management by virtualizing and keeping a better accounting online
    • Running the loyalty program through our Smart Cabs platform and giving offers to the customers who are loyal and riding most of the cars.

Having said to resolve the issues by proving a robust and reliable online taxi booking solution by iView Labs

Now the Enterprise is fully scaling up this venture by launching this same cab solution to different cities in West and North of Africa.

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SIGNIFICANT FEATURES

  • Location & Coverage
  • Registration & Profile
  • Communication & Notifications
  • Real-Time TrackingSecured Payments
  • Route OptimizationIntelligent
  • Matching Support Channel

COST TO GO LIVE

This is how much does it cost to go live in just 30 Days.

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iView Labs is the team of software developer having their core products and solutions in the field of location tracking, systems management for tracking, Online tracking using mobile phones, RFID, GSM sensors, OBD ( Onboard Diagnostics ) and develops solutions for Tracking people, products, things, vehicles, assets.  Kindly write down your business idea into info@iviewlabs.com or log in to www.iviewlabs.com/casestudy  or download our case studies.

Machine Learning into Action V1 – The Journey of an Android Developer

Machine-Learning

The author of this article is Mayur Kanojia, An Adro-Geek (Android Developer) of our team “iView Crafters”, presenting his fine R&D on “MACHINE LEARNING”.

The first impression of hearing the word “Machine Learning” I was almost imagining myself as a teacher and 50-60 machines will come to my class for learning.

Jokes apart but Machine Learning in terms of words  is defined  as follows:

Machine Learning: Field of study that gives computers the ability to learn without being explicitly programmed

  – Arthur Samuel (1959).

Machine Learning was never a thought in my head but at iView you need to be extraordinarily skillful to uplift your performance curve ahead than any average programmer. Challenges drive me! I always wanted to work with Algorithms.After discussing with our CTO, we decided to hands-on towards Machine learning. Hence I vividly started my journey wondering it to be as cool as I mentioned in the very first line.

The biggest question was how to kick-start? Perhaps I did exactly what all the Techies love to – “Google Baba”. Google Baba has a lot to say about Machine Learning. Someone said it so true THE WORLD IS ROUND and so is Google. Every theory of Machine Learning at the end had only one term and that was “Gradient Decent”. While hands-on to the Internet I learned about everybody referring to  Prof. Andrew N.G’s examples about ML. There are several online portals offering specialization in Machine Learning such as Coursera, Udemy, Udacity, Pyimagesearch, Pythonprogramming.net. So I decided to go for Coursera course for ML by Andrew N. G. Equivalently, Pyimagesearch and Pythonprogramming.Net  improved my knowledge in ML by coding perspective.

Prof. Andrew N. G had started the way of using math  (vectorization) in coding to optimise code and also running algorithm faster. Whow!! that amazed me. Here is the sample example.

Screenshot_2017-10-16-00-25-08-062_com.google.android.apps.docs

Now after learning basics of Linear Regression and Logistic Regression I came across to Neural Network and this thing had confused my head a lot between Forward Propagation and Backward Propagation.  It was like I have to do FW BW FW FW BW BW BW FW FW FW BW.

I was tired of doing FW and BW and then my life savior was  YouTube, it’s my entertainment buddy. One day accidentally I searched for how Neural Network works 😛 and then youtube took me into a deep ocean with the amazing example of Neural Network like Mario Game completed by ML  V O.o. Also, it took me into the Vista of my whole childhood hours that I spent on Mario Game and was just completed within minutes in front of my eyes. In Future we the “iView Crafters” are keen to take up this R&D into reality by training Neural Network on how to drive a car in GTA V.

These are the links :

https://youtu.be/qv6UVOQ0F44

https://youtu.be/QVyu9oVyh9Q

So I thought we can train Neural Network to play this game which is outdated nowadays. But this video had proved me wrong.  This guy had trained a  neural network on to how to drive a car in GTA V and this guy’s material helped a lot in understanding the neural network.

https://youtu.be/edWI4ZnWUGg

If you are a beginner like me then you will face following words in your journey of ML – the cost function, Gradient Decent, Linear Regression, Logical Regression, Regularisation, KNN, Neural Network,  training data, testing data,  cross-validation,  pipeline, loss, epoch and Blah Blah Blah

 

At iView Labs, We don’t believe in theories we believe in results.

Knowledge is of no value unless you put it into practice.

                                                                                                                     – Anton Chekhov

So to convert my knowledge into a practical solution, initially I started learning python from pythonprogramming.net and trust me will learn basics of python by just watching 15-16 videos, if you know programming concepts well. After learning python, I started developing my 1st ML program by just converting my Coursera exercise into python code. (You can check this blog to understand your Coursera basics into python)

This exercise is about Linear Regression where I have to predict Boston House prices by the data given to me. I created one method which gives me the total value of cost function.

J = (h(x)  –  yi) ^2

Also, One Gradient Decent algorithm which reduces my cost function.

θj= θj – α * (Ə J(θ)/ Əθj)

where α is learning rate

In Linear Regression,  You have to plot data first to see how actually your data is. From the curve of your data you can decide whether you are suffering from high bias(under fitting)  or high variance (overfitting)  according to this you can understand that your model needs more training data or tuning learning rate high or low etc. You can find my code for practice here.

This way I created basic Linear Regression Machine Learning program, also I had done same code in Octave. The doubt to strike your head would be then why I choose python to code? One of my teammate in iView guided me that python has some awesome libraries for machine learning where you don’t have to worry about these basics. You have to just remember algorithm’s name that you have to choose for your program. The best ML Libraries are Tensorflow, sklearn, keras. I coded one program in python to predict stock price by using the sklearn library. The example is here.

Meanwhile, our CTO was super enthusiastic about the conversion of my learning to the real-time execution. So we decided to implement the concept of Pipeline from my ML theory into one of our Live projects. We buckled up our shoes and started R&D on “Bill Scanner” – An OCR that recognizes characters from Bill images.

The empathy is that during ML Training, Handwritten Digits scanning with MNIST Dataset is said to be “Hello World” level program of Machine Learning. Hence super excitedly we started the task and as the days went off my cognition was wrong. Before predictions, we have to do lots of tasks, image processing etc.

Pipeline :

  • Object Detection
  • Text Extraction
  • Character Segmentation
  • Character Prediction

1. Object Detection

To detect object successfully, we will use tensorflow object_detection API. To use this API, we have to make model according to our number of class. For object detection, we have collected chunks of images to train our model. After days of training, we got 99% results.

1

2.Text Extraction

To extract text from bill images we had used Computer vision API by Open CV, we processed the image with lots of filters and extracted the texts.

3. Character Segmentation

After extracting text data we got this output for each text area.

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4. Character Prediction

After all the steps above, you will get separate characters, now you have to apply the Neural network to predict character from an image.

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This is #83rd Day of our 120 Day Machine learning Project and the quantum of implementation of Pipeline in our Project “Bill Scanner”  shall be briefed in Volume – II .

 

 

Top 5 reasons for startups to outsource product development

Gartner in a recent report stated how growth is the most important sustaining factor for software product companies. Hardly 1% of software product companies have the consistent growth rate required to win business and stay afloat in the market. According to them growing and sustaining growth is really hard. For startup companies to grow it is always challenging as they are always in resource crunch scenario. Adding talent to the team on a regular basis increases their fixed costs. Product Development involves lot of iterations based on customer feedback and this could lead a startup company to be involved in the release cycle of products rather than on the consumer and market. For Startup companies to have a defined focus for their product, it better to choose outsourcing product development over in house team building, so that the company can focus on the customer and market.

Following are the top 5 reasons for product development outsourcing.
1) Flexible Resource Models.
2) Frees up time for customer facing work.
3) Updated with latest technology options.
4) Converting fixed costs into variable costs.
5) Faster Product releases.

Author of this post is CTO of iView Labs, who has helped many startups to build their products.

MWFM ( Mobile Work Force Management) Increasing field operations by 4X and bringing down cost to 6X on Human resources.

Code, Coffee and tracking 2m Users ..

How we helped our African friend to break the ice and board 2m Voters?

Tracking 2m+ voters and 3000+ agents

Day 2 at Hannover messe was a bright sunny day. I was gathering my thoughts and plans for the day, as we had couple of meetings and presentations lined up on this day. At sharp 11:30 AM I gave my presentation on HealthCare Product www.prapp.in (a platfrom for health engagement connecting patients to doctors). As soon as my presentation was over, there were some folks who were interested in doctor-patient engagement platform. There was absolutely no breather in between. I just grabbed my cup of coffee and headed towards my booth.

I observed that day 2 was a rush rush at Hannover. Lot of delegates from different countries were visiting the fair. Suddenly some African folks in a team of 3 dropped by at our booth and here starts our conversation:

Mr. Bamaba: is this Sid from iView Labs

me: yes , I hope you are doing great! How may I help you!

Mr. Bamaba: Do you do location tracking and mapping?

Me: Sir, I would like to hear the problem that you are facing..

Mr. Bamaba: We need to map all the voters of Africa on the map. We want to verify their identity and address. To do these we send agents on the field who do it manually and all these data gets centralized. Since its a manual process we were having lot of data issues and productivity. We are here looking to solve this issue

Me: Ok Sir, I understand your problem. So, what these agents would be carrying with them to verify the voter.

Mr. Bamaba: These agents will be carrying our assigned tablets for verification. Look we have 3000+ Agents who are in field of collection of the electoral census and here we need to observe their day to day actions as per the geographies they are moving. Can you develop me a platform where in I can see all these agents in real time? I have to catch the coordinates and want to see the efficiency and methods they are adopting to do this quick exercise. Also I want to assign the further tasks of Route Optimization

Me: In a nutshell, I was completely able to understand what my friend was looking to build. Me and My CTO was there and we explained him our methodology of working and strategy of building this solution.

After all the explanation, he seemed convinced to do business with us and finally we were able to strike the deal with our African friends.

As the project kicked off, my technical team started brainstorming about the project and came up with the complete technology stack and architecture for the project. For this solution, we knew the crux of the entire solution would be accurate position mapping, path tracking and real monitoring of agents. Also, the tricky part here was about offline position tracking due to network connectivity issue in small villages and data pruning as position mapping of each agent for each second would generate enormous data in the application.

With the technical risks identified, we started working on the project and were very thrilled to work on this as we saw that how this solution could be used for various industries who has a mobile force or field force. We realized the scalability and reusability of this project, hence we made this in a modular form where entire location tracking module is an independent module which could be rightly fitted into any industry.

We started working on day and night on this project to get this all right. We send our guys on the field to test in all various conditions such as speed variance, location variance etc.

Finally we were able to get all the systems in place and deliver it to our African friends.

The entire data of the application rests on AWS ( Amazon Web Services) cloud.

With our approach to take software development as the Lego and Brick Building job we were able to deliver this solution in span of 3 months.

With over 2 million Voters on Board of eCampaign and 3000+ agents on the admin side the eVoting, this was a huge success for our mobile workforce management solution.

Admin Panel( Operations Guys) for tracking the field force :-

08

Android App ( for the field force/Agents in the fields) : –

01

Here the entire Platform does the following job for the African government : –

1. Task management
2. Task allocation
3. Task control
4. Voters geography tracking
5. Agents tracking
6. Task completion
7. Real time visibility

Data analytics per Agent and Voters

Business benefit to our African friend:

  • 50+ Nos of Men power reduction by Using the eVoting eCampaign solutions.
  • Improvement in HR process to know the real productivity by real time tracking on faily field activities.
  • Cost savings to a multiple times and bringing in lean business.
  • Perfect tracking of census with error free data.

Is DATA the new energy?

I think we should stop looking at data in the form of petabytes, zettabytes etc rather we need to have a new perspective to look at data in the form of energy. An energy which is renewable in nature and can be used in multiple forms to serve more than one purpose. An energy can be generated from multiple sources such as sun, wind, geothermal, biomass etc. in the same manner Data energy can be created from multiple sources. Data in the raw form is of no use unless it is extracted, processed and refined to make it to use. In the similar manner we need to extract and process the energy to have its maximize use.

Data uncaptured, unprocessed is a loss of energy for businesses to build insights which can help them make sound decisions. The value of the data in a business keeps on growing with the new pieces of information added. Critical insights of the business can be drawn with the right technology in place to refine your data.

Energy storage is capture of energy produced at one time for use at a later time. This is so relevant and apt if we draw an analogy for the same in terms of data. Data is also captured at a given time to make it to use at a later stages. We need huge storages to store large amount of energy and same is the case is with data. These data storages are huge in terms of processing power to manage BIG DATA. Energy storage involves converting energy from forms that are difficult to store to more conveniently or economically storable forms. The question here how we can apply the same principle for data being stored? How we constantly churn raw data from these data storages into different meaningful forms.

Unlike other energies, the biggest advantage of Data is we don’t have to worry about its depletion, we only have to worry about its refinement and extraction with the desire to improve efficiencies and make informed decisions.

Of course, lot of analogies can be drawn between energy and data for us to handle our new digital age of IoT sensors. In every ecosystem, there is a main producer of the energy and there are different levels of consumers and producers which co-exist in the system. In the digital Age of sensors and devices, we need to make devices intelligent enough to coexist as a data consumer & producer to create a meaning out of the ecosystem.

We at iView Labs are constantly thriving to create that coexistence of data energy consumer & producer.

Journey of an intern at iView Labs

Name: Pankti Dave
Position: Junior Software Developer

‘Sometimes it is the journey that teaches you a lot about your destinations’. Something like this happened to me, when I started my journey with iView Labs. iView has made me believe that even a layman like me can sail into the deep world of coding and technology. My experience was as similar as a sapling growing under the shadow of enormous trees. Every day is new for me as each day I have a new challenge in front of me. Learning about the future technologies makes me leap into the future. Being a newcomer in the industry I got to know so many new things about the technologies that I have never heard of. Things like Augmented reality, multi touch applications have always drawn my curiosity, but iView turned my imaginations into reality by giving me this wonderful opportunity to work on the finest of the technologies.

As the roads that leads to beautiful destinations are never easy, my journey is a bit challenging, where each day I struggle to explore and learn new technologies but nevertheless at the end of the day I have a good sleep making me feel content of the work done for the day. At initial stages, it was difficult but now I have learned to overcome challenges on my journey and find optimal solutions to conquer the situations better.My journey would have never been so flawless without the due support of the “TECHNICAL GEEKS” here. The atmosphere here is so inspiring that each day I leave home with a positive feeling of reaching closer to my goal.

“A team becomes more powerful when it is led by a skillful midfielder”. The best part here is the open mindedness and the freedom that you get to put forward your own views. The Leaders here believe in making creators and not followers.

I feel very proud to be an intrinsic part of this team “iView Crafters”, where we craft technology. It has made me believe that even a small fish can sail in the big ocean.

NDDB Adopts Augmented Reality For Content Delivery

Business Challenge

NDDB, a leading co-operative organization is on a mission to enhance milk production in India. NDDB’s team were exploring innovative ways to increase dairy farming education. They were looking for solutions to educate dairy farmers about professional dairy farming. To make dairy farming sustainable and viable, it needs to have right propagation and education. For sustainable development, youth needs to be educated about dairy farming concepts. NDDB’s team sought various mediums of content delivery but none gave them the required benefit and a direct reach to the farmer.

NDDB’s team visited iView’s office and we brainstormed about innovative ways for reaching out to farmers with the dairy farming methods and techniques. After a lot of discussion and brainstorming over a coffee, we came up with a solution of mobile content delivery with augmented reality.

We did a proof of concept (POC) to test the Augmented Reality content delivery platform. We invited few farmers to NDDB center and tested the app with them.We got very interesting responses from farmers. Some were surprised and for some it was just “MAGIC”. This experience completely validated our POC and it helped us to understand the need more clearly. This entire journey made us realize that “When digital innovation creates MAGIC, it touches lives”.

NDDB AGR

Client
NDDB
Industry Public Sector (Dairy Farming)

Why enterprises should have chatbots?

What are Chatbots?

Chatbot are simple text based services powered with artificial intelligence designed to interact via a chat interface. This can be used as for functional or fun purposes like virtual assistant siri, Cortana etc.

What is chatbots?

Why are chatbots better than apps?

No downloads are required, they reside in the messaging apps. They are easy to build and upgrade. They can be used instantly. This helps in faster user activation which helps them to grow fast. Also one more major advantage is that they don’t choke up on mobile space.

Why chatbots are such a big opportunity

You must be wondering, why there is so much noise about chatbots..
“People are now spending more time in messaging apps than in social media and that is a huge turning point. Messaging apps are the platforms of the future and bots will be how their users access all sorts of services.” — Peter Rojas, Entrepreneur in Residence at Betaworks

Messaging Apps Have Surpassed Social Networks

In the first quarter of 2015, the four biggest messaging apps surpassed the four biggest social networks in terms of monthly active users.

How chatbots can help enterprise?

As the adoption of voice and messaging technologies continue to grow in the enterprise, so does the potential for chatbot solutions. However, in order to be adopted in the enterprise, chatbot platforms will need to provide capabilities in areas such as Customer relationship management, integration, security, management, or monitoring, which are essential elements of enterprise solutions. However Enterprise chatbots should have a natural language learning system to provide a strong user experience. Specifically, enterprise-ready chatbot platforms should include some of the following capabilities:

• Integration with messaging platforms
• Natural language learning systems
• Chatbot store
• Monitoring
• Integration with enterprise systems
• Testing
• Security

Enterprise Chatbot platform

Messaging platform vendors:

Slack, Facebook, Skype, HipChat, etc. are all platforms that actively support the implementation of chatbots.

Voice platform vendors:

Platforms such as Amazon Echo, Cortana, Siri, or Google Now are some of the main catalysts for the emergence of chatbots.

Chatbot platform startups:

Many startups trying to become the chatbot platform by offering AI on saas model.

Industries adapting chatbots

• Healthcare
• E-commerce
• Travel
• Hospitality

Future of Chatbots

For the first time bots will let us communicate with the world of information instantly. This is the new beginning of internet, mobile and user interface.

References

http://economictimes.indiatimes.com/small-biz/startups/how-a-bunch-of-indian-startups-have-taken-an-early-lead-in-chatbots/articleshow/52592715.cms
https://chatbotsmagazine.com/the-complete-beginner-s-guide-to-chatbots-8280b7b906ca#.rk3c185yd
https://medium.com/@tedlivingston/the-future-of-chat-isn-t-ai-b07f65bc252#.5sh8cefz2
http://www.cio.com/article/3053603/mobile/what-do-chatbots-mean-for-the-enterprise.html

How a Startup Real Estate Company Sold Rs. 400 Cr. worth of Assets using iView Labs’ – iBlock tool

Do you believe the age old saying survival of the fittest ? This ideology no more exists and with time it has evolved. So this is now to be believed as survival of the fittest and most innovating. In today’s world you just cannot be fit in business however you have to be the Game changer and the innovator. Innovator term just doesn’t mean that you are able to pour in more money in the business and product marketing and sales or brand building. To sell today it takes more effort and pain to understand, know and tailor your customer’s need.

Customer in today’s world is no more similar than one he use to be in 90’s. The customer today is more informed and before he comes to make in the purchase decision he or she is well aware of 10 different products in the market. Thanks to the eCommerce industry which is able to bring virtually all the products on our mobiles handsets.

Customer today is much much passionate about buying since he is very elemental in his choice and with each decision he has his emotions attached to it. Especially with the house and home where he / she is investing the whole family savings there takes a good wise thoughts for him which makes him take this decision.

One of the real estate companies driven by the millennial folks were very keen and passionate about what they were going to built for their home users. They had this fine , state of art property coming up in the sub urban part of Surat Gujarat, India, which they wanted sell to the people. They had all the basic amenities for ultra modern living with all necessary automation and green living required in their property. Nevertheless they were very focused on delivering a best customer experience to their customer. However best they created the paper based collaterals and marketing tools, they knew that they would have a tough time for sales in current property market and economic scenario. In the same vicinity, where they were coming up with the 40 apartments – their neighbourhood was full of newly constructed 240 units of township and modern living apartments. They knew – selling wont be easy because customer would be learning all around them and therefore it would take lot of time for them to understand their needs and pitch the right set of 2, 3, 4 BHK apartment. This ability to see and foresee the challenge was the key point where they started discussion with IT consultants like us to leverage the business on technology to create the wonderful experience for the prospective customer. The consultants of iView Labs understood their needs sketched the entire customer experience imagination for them, before they came up with the vision to have the interactive sales and site offices. We suggested them to go virtual and online with CRM enabled systems to know their demand and remember their likings of their prospective customer. Since while buying a house the individual always makes a multiple visits to check the new apartment and also he / she comes with their close family members for their opinion. Not only this – for any kind of customisation in the newly built property of the visitors, it is very important for the Property developer to know and remember the need of their prospect. In such cases they were in real need of a Platform which could help the sales managers at the site offices to give the presentation and record each and every minutes of meeting held with customers. The very basic need became their prime agenda of sales and corp communications for their clients and prospects. We at iView Labs suggested them to make a Presentation Suite which comprises of their all Pictures, Images, Video, 3D files, Panorama, Plans, elevation and locations coordinates, EMI calculators and PDF files for property specs etc.

All the necessary assets required for configuration were programmed and bundled in one software application iBlock Sales presenter for Real Estate Industry (Real Estate) which was then enabled with the tailor made CRM (Customer relationship management) software in the backend.

Now when the tools and platforms were powered by most innovative tech the next thing was to present it to the customers and visitors who were then mesmerised with the content and the entire presentation of the property. Therefore post each visit the customer gets a text message and the mail of all the collaterals for which they had their interests. This idea of personalised promotion helped the customers and visitors get the only interest information related to their need. Also this helped them to get the day to day updates from the CRM campaigns and text messages. The visitors to a large extent were saved from the spam messaged moreover the relevancy of the information was the key which kept them engaged to the platform. To much of the surprise the right choice of asset corresponding to the customer’s interest area and timely updates and communications with right servicing helped the users gained the confidence in the real estate player and this helped them in their decision making. Its been 3 years and close to 500+ apartments have been presented on this platform and close to INR 400 Cr (US$ 80m ) have been sold using this platform.

Recently we have centralised the backend of CRM to an extent where any inquiry coming in from the Website, Multitouch desk (interactive surface) and walking can be captured in the CRM and therefore this helps them a religious customer interaction and engagement.

Since the system database grew big and huge and therefore management and board of directors where looking forward for some kind of analytics. The questions of how well the sales offices and sites offices are functioning and how many customers they were able to capture was an information much essential for them to know without knowing the MIS (Management Info Systems) reports. So we planned the Mobile app for the stake holders wherein they can get the information on live sales nos. and leads happening at site offices. This helped them to make the strong ties and relations with Brokers and Customers by practising the transparency.

We at iView Labs are people who are driven by the passion to solve challenged at the fundamental level. We don’t see technology, however we see solutions which can empower the people to realise their productivity, quick sales, preventing loss of information by making our customer adopt smarter ways to do business.

Build a stronger Customer Experience in Real Estate

Real estate demand has seen an ever increasing rise in India, which is driven by the urbanization and high spendable income. With this increase in demand and awareness, small to medium real estate players are finding it difficult to survive in this extensive competitive market. Today customer is far more aware and educated for making his decision. It cannot be a price war anymore which used to happen decades ago, where supply was less than demand. Today, supply is more than demand. So how do you get maximum sales with high customer satisfaction in this volatile market?

Tips

    • Understand customer buying behavior

      • Firstly we need to understand the demographics from where our consumers are coming from. There are various factors which influences
        Customer buying decision such as social, cultural, personal and psychological.
      • To understand these factors, capture every details of your customers from your first interaction, to truly understand your customer in person. Pull out some customer analytics on your existing customer base to strategize your marketing efforts.
    • Enhancing first experiences (Primacy)

      • It is rightly said that our brains most powerfully remember elements and events that come first. That’s why your first touch points of your customer has to be positive ones. List down all your customer first touch points like
        • Website
        • App
        • Call Center
        • Social Media Page
        • Site Offices
        • Print Materials
      • All of these first touch points leave a positive or negative impression on your customer about your brand.
      • Innovate and differentiate on all the above touch points to create a positive impression on customer’s mind.
    • Repetition

      • People remember things that are repeated and that’s how customer tend to buy things. Constantly communicate with your customer and keep them well informed about your products and offers. Have an effective real estate CRM tool which will help you to communicate effectively with your customers.
    • Wow your customer

      • Novel experiences make enduring positive memories. Create new experiences for your customers and surprise them at every touch point. Knowing your customer and customer needs before they say is one way you can surprise your customer. Surprise your customer by creating an immersive experiences by creating digital site offices, virtual walkthrough where they are able to make their purchase decision. Increase interest of your consumer in their product purchasing journey by enhancing their shopping experience
    • Listen to your customers

      • Have a personal association with your customers by listening to their feedback and reviews at every stages. Share your customer stories which will make them feel accepted and they would be completely elevated by their experience.

The iView Edge

We believe in crafting innovative ideas and concepts in technology which can help businesses to solve their problems. One of our customers who is a new entrant in real estate market had to create a strong base where customers trust his brand and his products. With adoption of iView’s real estate solution, they saw a compelling increase in their sales by 500% and had higher customer satisfaction.