At the very onset of this discussion on business intelligence, we must be acutely aware of the definition of it. Business intelligence or BI, as we may call it, is an umbrella term that holds within itself applications, methodologies, tools, processes, theories and infrastructures that transforms an expansive data into actionable information and use that knowledge-base into optimizing performances and services.

Why do we need BI in Supply Chain?

Supply chain is that one domain that is ever-burgeoning and is thriving into a huge industry. With the inception of e-commerce and online retail, supply chain has become one of the most profitable industries and hence extremely competitive one. Companies have indulged themselves in a competition to be the cut-above-the-rest. At this juncture, if any organization has not gotten a clear metric-driven insight into their operations and is not rectifying their shortcomings, it is fairly possible that it may just be tagged as redundant.

In the current competitive business scenario, every stakeholder demands visibility in real-time. They want a system that pro-actively pushes forth notifications related to the statuses of their products and gives insight into the entire gamut of the chain, from operations to inventory and from logistics to shipments. Each and every detail in its granular form is sought after by the tiers of the supply chain. And it is exactly because of this growing complexity of the market that companies have started taken cognizance of business intelligence. Apart from the operational complexity, growing market risks and lack of visibility, companies have started investing in BI to gain information on fluctuating accessorial costs, international trade regulations. All these siloes add up to the singular most important objective of any business: improve revenue margin.

One key takeaway from the post-pandemic trade actions is that businesses need to be resilient in order to stay relevant. Agility is tantamount to embracing the circumstantial changes without affecting the bottom-line o the actions. One of the most integral features of BI is its capacity of forecast analysis. Having armed with huge pool of data on every segment of the chain from the suppliers to the customers, BI has access to the demand variables and the patterns of a particular partner. On the basis of this data that is accumulated, BI can put forth predictions pertaining to the future performance of that partner or the demand of that particular product. In this way, supply chain becomes pro-active, instead of reactive. It can eradicate all the problems that are embedded instead of looking in hindsight once the problems have caused significant amount of damage.

The Pros and the Pros

As it has been mentioned earlier, BI helps businesses identify their internal inefficiencies and help managers in taking proper measures. In supply chain industry, nobody can exist in isolation. It is a proper chain where one is dependent on the other. Since BI gathers data that lies scattered all over sporadically and provides insight into the performance of every tier by comparing previous records or service-level agreements, companies can eliminate factors that are detrimental to the profitability of actions. By giving visibility of every single data through KPIs and metrics, the supplier-vendor communication is given a much-needed thrust. In this way, the prevailing trends in each tier of the whole process lends vision on which part of the chain needs to be optimized and which part is performing relatively well.

Most of the times supply chain leaders find themselves in doldrums. In the process of reducing inventory and increasing profit-margin, they are caught between trade-offs. BI helps them unearth new opportunities and identifying new challenges by tracking and monitoring the processes and prevailing trends. The forecasting aspect of BI has gained immense importance because of the volatility of the market. Catering to the fleeing demands of the customers and still hitting a home run in this tough match of raking in money is a difficult task and BI makes it easier.

Why Contact Us?

The discussion that has preceded, attempts at establishing the palpable need of BI in supply chain. Be it any segment of the chain that you operate in, whether it is warehousing or manufacturing or supplying raw materials, BI is an absolutely inessential component in contemporary logistical solutions to perform trend analyses and turn your data accumulated by TMS, WMS or any inbuilt system into effective information to take necessary actions. RattusBI has been engineered with rigorous research that has been undertaken by professionals in operations and technology with 60+ years of cumulative experience. It offers you insights with interactive dashboards so that you visualize and comprehend elaborate reports in a very easy way. It gives you the opportunity to evaluate your actions through various KPIs and helps you in taking metric-driven, pragmatic decisions. Our motto is to simplify the supply chain and our business intelligence efficaciously does the same. Now that’s what you would call intelligent!

The phenomenon of Software -as-a-Service, which is popularly known by its acronym SaaS has taken the supply chain industry by storm. SaaS is indeed going to become a key factor in the industry 4.0 due to the advantages it brings along with it. The modern tech boom coupled with the consumers’ demands of transparency and accessibility have resulted in the rise of SaaS and in the coming years SaaS would take a lion’s share in the supply chain providers’ investment in technology.

In today’s day and age, consumers have been empowered because of their easy access to internet. They have been armed with options and they are ready to explore all of them. Once they experience hassle or lack of transparency in any of their transactions, they would not hesitate in veering away from that particular company. Thus it is of optimum significance that companies invest in software that provides them the accessibility that they need. And it is exactly the reason why SaaS market has carved its own niche.

When a company subscribes to a SaaS vendor, they agree to store their data in the cloud space, instead of keeping manual records or in the generic spreadsheets.  That data can be utilized and analysed to know the loopholes in operations, estimate future demands and to look into the solutions. While they reap the fruit of their investment, they simply need to subscribe to the software and work from any connected device. This facility is in stark contrast to the expenses they incur in on-premise, in-house applications.

In this write-up, we would try to enumerate the vantage points that the companies parch on if they make a shift to SaaS.

1.  Low Cost: In the on-premise applications, companies play host to the server, software and hardware and they need to maintain and upkeep all of these.  In SaaS, companies outsource all these functions to the vendors and can concentrate on solidifying their operational functions. Since they need not invest heavily on in-house systems, the profit margin also increases, giving these companies a win-win situation.

2.  Scalability: Once the companies install on-premise systems, they need to invest a lot of money on upgrading them. On the other hand, SaaS providers armed with technological know-how upgrade and customize their service according to the suitability of the customers. The upkeep of the system is the responsibility of the vendor, which frees the beneficiaries from the onus of scaling their system.

3.  Accessibility: While in-house systems need to be operated from the companies’ offices or operational grounds, SaaS can be operated from any remote location and is also hosted by online centralized location in the form of servers. Executives need not wait for directives from the higher rung of the organizations or reports from the bottom-line. The system can be accessed merely with any device that has internet connectivity and can be updated or notified from any location. This is particularly useful for the last-mile delivery agents who can notify the system of any change that has taken place.

4.  Reliability: Companies that provide software-as-a-service are paid for data security and maintenance of the system. While managing the whole in-house system and giving complete visibility is a daunting task for any logistics service provider, SaaS providers have mastered the techniques of handling their service. It is their job and they are paid for it. Hence the companies need to hire, train and retain employees who would look after their own system. They simply follow the trajectory shown by the SaaS vendors and can work without any added hassle.

5.  Security: Very often we come across news related to security breaches and hacking. In order to prevent these, companies with on-premise systems need to hire professionals to keep their data safe and clean. In SaaS providers, we can see a dedicated team who work round-the-clock so that sensitive data of their clients are processed securely.

This discussion tries to postulate the merits of software-as-a-service. Due to all these numerous benefits that the companies enjoy, they are making a switch to SaaS to let their business flourish.And it is in accordance with the digitization of the entire process that SaaS along with RFID and AI, ML, data twinning, internet of things have revolutionized the industry and have taken supply chain domain a few notches higher. In case, you haven’t yet automated your supply chain realm yet, the time has come to transform it in its entirety. Rattusapps has developed its highly scalable SaaS with the help of extensive research and expansive expertise. With RattusWMS as its pilot project, we make your warehousing experience hassle free and add value to your operations in manifold ways. Book a demo and experience the ways we bring change to your doorsteps and fingertips.

In this day and age of digital transformation, industries across the production line have adapted themselves to the technological boom. Resorting to the hackneyed way of manual labour not only does curtain the productivity of the workers but also expose the work to numerous errors. In the selfsame way, this technological blitzkrieg has embraced the supply chain industry to such an extent that man-made errors can push a unit of the industry to the dreaded path of redundancy. In this article, one key component of technology and its implications on warehousing, an imperative block of supply chain industry would be discussed.

Inventory accuracy is a factor that can either make or mar a business. Not only does miscalculation of stock lead to overstocking and under-stocking, but it eat into labour productivity and fruitful utilization of time, something nobody can afford to do in these days of competitiveness. Fall in productivity, delay in shipment and unavailability of stock result in failure in customer generation and retention and eventually the failure paves the path for financial setback. Hence it can be vociferously proclaimed that inventory accuracy in warehouse is of greater significance than mere stock-out issues. It has been observed that inaccuracy in inventory counting is mostly seen in warehouses that still align themselves with manual work or generic spreadsheets. An effective warehouse management system can redress almost all the issues that may emanate within the peripheries of the distribution centre. However, there is one element that can aid the WMS in more ways than one and can shoot up inventory accuracy by 99% and that element is RFID.

What is RFID?

RFID, this eponym stands for ‘Radio Frequency Identification Devices’. These are tags that look like simple barcodes but they are much more than that. These tags can digitally interact with radio frequency readers from a distance via electromagnetic waves. Not only do these devices come as tags but can also come in the form of microchips and antennas that can provide real-time location of an object in the GPS tracking systems.

How do these devices function in the warehouse set-up?

Radio frequency identification devices come handy in tracking and tracing items, boxes or pallets in a warehouse. As soon as a shipment arrives in a warehouse, either individual consignments or the entire pallets are tagged with these attachments. From that time onwards, the real-time tracking of the items start occurring. The tags send information pertaining to the items to the readers which are stored in the warehouse database and that data is analysed for further usage and to provide end-to-end visibility to the warehouse managers, manufacturers, transporters and customers. The bigger devices that have microchips installed in them and run on batteries are attached to the vehicles and they keep on notifying the stakeholders on the geo-locations of the shipment vehicles that are in transit.

Benefits you reap...

1.  Since RFID provides an end-to-end visibility to all the concerned parties in a transaction, they get to know the real-time location of their consignments which in itself brings relief and satisfaction to them.

2.  RFID tags hold a plethora of information in them which consist of the country and the place and the date of a particular product’s manufacture, the batch number, the date of expiry, the code of manufacturers and so on. Having all these information stored in the centralised system of the warehouse, they can analyse them via predictive or prescribed or demonstrative methods and know the trends of the customer behaviour and render help in change of industry standards.

3.  These RFID tags can be traced or read from distance. To say it in a different way, the tags need not be in the reader’s line-of-sight, unlike the usual barcode readers. Moreover, multiple tags can be read at the same time and these two features can save a lot of time. If we consider that each item had to be scanned with a hand-held reader, it could have taken at least 5-10 seconds for an operator to scan the tags. Though it sounds pretty much meagre but consider for once that tons of items are being scanned in the similar manner. RFID tags save hours and hours of time that otherwise could have been used in something much more productive.

4.  A huge amount of time in a warehouse not aided by RFID can be wasted on singling out an item that is purported to be lost. With the on-time visibility provided by the tags, the rush, the panic, the energy and the time on such meaningless tasks can be slashed significantly.

5.  Along  with time, with the elimination of operators with hand-held readers, a significant amount of labour cost is also saved.

6.  While the operators can track and trace the pallets with greater efficacy, the administrators on the floor are freed from the task of minute supervision and expedition. They can utilise this time on services that can actually reap fruit.

7.  With the appropriate streamlining of the work on the DC floor, customer retention or generation can become a cakewalk for the manufacturers, retailers, wholesalers, transporters or even the warehouses. And with greater customer benefits, earning goodwill and profit come as rewarding bonuses.

The objective was the discussion was to highlight the usefulness of RFID in the warehouses. However, there are certain shortcomings as well that need to be kept at the back of the mind while implementing these changes in your system. RFID comes with its own ancillary costs and the badges with microchips and antennas for the trucks can be expensive buys. Furthermore, the influx of data that one may find to be inundated by can be confounding and overwhelming for a person who is not very adept with them. Thus, it is advisable that warehouse executives are recruited or trained in accordance with the demand of the age and the system. As for the cost, it can only be said that it is a good investment; an investment that would ultimately make you gain something. Holding the strains of the initial words of this write-up, it can be said that we live in an era of consumerism where profit has become the elixir to sustain. It cannot be denied that companies and industries are almost on the battlefield to attract and hold consumers. And in this battle, if you gain something on the expense of money, you at least can brace yourselves for the unforeseen days and strengthen yourselves.  It is your growth at the end of the day. You do not lose.

While exploring various ideas for the next issue of the blog the author came across a unique terminology that seems to have got the supply chain industry by storm. The trend is somewhat in the embryonic stage in terms of operational implementation, but the way the logistics sector is being catapulted towards a digital overhaul, it would not be a prophetic thing to say that a few years down the line, this phenomenon would gradually take the centre stage in supply chain management and optimization. The term that is being referred to over here is 'digital twin'.

For those who have not yet been initiated into the definition of it, digital twin, in the simplest words, alludes to the virtual replication of every possible aspect that is associated with the supply chain and that can include assets, warehousing, inventory positions et al. With the industrial world is undergoing the 4th revolution in the digital space and the coinage ‘Industry 4.0’ gaining momentum, digital twinning has become a key player in which many of the big players have invested judiciously and are reaping the benefits of it due to the technical and operational competence that it has brought in the ambit.

It must be noted that digital twinning is an umbrella term that contains a number of digital and computational upping such as cloud computing, IoT, AI, ML, simulation and so on. The biggest advantage that digital twin offers is that by digitizing the entire process of manufacturing and proving real-time data in operation, it upholds the entire lifecycle of a product, ranging from commissioning to maintenance. And in tandem, it generates reliable metadata that renders help in crunching numbers in the planning and optimization process.

While simulating the vantage points of the business, digital twinning also assists in pointing out the volatility in the businesses which in turn is fruitful in resolving these stumbling blocks. The process of digital twinning has been brought to prominence especially in the post-covid outbreak. The pandemic exposed the drawbacks that lay latent in the framework of the industry on the macro scale. And to withstand further breakdowns and disruptions, companies have scaled their business efficiencies to get armed with resilience and that is exactly where the efficacy of digital twinning comes to the fore.

There is no dearth in the veracity of the statement that supply chain business is an extremely complex multi-tier affair that involves multiple stakeholders and copious internal, as well as external factors impacting the business performances and balancing the difficult trade-offs, can be a cumbersome task. Since the digital twinning process encloses facets such as manufacturers, suppliers, distribution facilities, transportation routes and customer locations, it is efficacious in assessing the inventory, throughput, services by providing end-to-end visibility in AR/VR mode. With the real-time representation bringing transparency in the entire process, companies can strike a balance between the expectations and the reality in every possible sphere and can come up with corrective measures to mitigate the raptures and resolving bottleneck issues.

Since digital twinning can be an expensive enterprise, companies may start the procedure by short-term planning. Steadily they may veer into simulating sales and operational planning with the objective of optimizing the plan, minimizing losses and evoking scalable data to load the business further. Identifying the latent bottlenecks can empower the business, provide durability and help gain insights even in issues like market, customer retention, replenishment and maintenance.

The companies that have already adapted to the digital twinning and have created a digital space for themselves have a better edge over the others in gaining perspectives from a vantage point. Hence, it is indeed advisable that business leaders and executives ponder upon the viability of digital twinning and brace themselves for a massive swap in the system.

Artificial Intelligence(AI) is an umbrella term that embeds multiple aspects in it! To keep the nomenclature simple, we need to understand its torn down version i.e. Machine Learning(ML). Before delving into the topic, we need to know in brief what human learning is and how it is related with computers. In cognitive science, learning is typically referred to as the process of gaining information through observation.  In this context, the most obvious question that emerges is: 'Why do we need to learn at all?'.

Human body and mind are customised to carry certain activities which might be as simple and routine as walking down the street or doing the homework or it may be something very complex such as calculating the angle in which a rocket would be launched. To accomplish all these activities, we need to have some prior information on one or more things related to these task. As we keep learning, we tend to garner more experience and information related to the task. To elucidate the whole thing, we can cite the example of home assignment. With more knowledge we arm ourselves with the ability to do homework with less mistakes.  Thus with more learning our efficacy in performing the tasks increases.

There are mainly three types of human learning : learning under expert guidance, learning guided by knowledge gained from experts and learning by self. The readers might be wondering how does all these even correspond with our topic of discussion and the author probably tends to beat around the bush a little bit too much. But all the possible branches of knowledge in this world is linked with questions that we tend to overlook. It is only when we seek the answer, we learn in the process.

Hence, keeping strains with the three segments of learning process, we have to alight to this discussion: do inanimate objects like machines really learn? If so, then how do they learn?

If we go by a standalone, superficial answer then it’s a big No! Machines do not learn on their own but they do learn in the presence of a supervisor i.e. humans. If we be a bit more precise, learning is fed into machines under the direction of the human beings!

This essentially means that a machine can be considered to be gleaning learnings if it is able to gather experience by doing a certain task and improve its performance by doing the similar tasks in future.  When we talk about experience, it simply alludes to the past data related to the task. This data is basically instilled as an input to the machine by some source.

Let us now understand this with a simple example.  A machine has been given the task of image classification. In this context, let’s say that E is the collection of all the past data with images having  names or assigned classes(for eg. Whether the image is of class cat or class dog or a class elephant etc.). We now consider a  task of assigning a moniker  to new unlabelled images(by unlabelled we mean that the random image should fall under some particular category which the computer will decide) and P is the collection of performance measure i.e. the percentage of images correctly classified. It means how aptly the computer finds out whether the image of a cat is the image of a cat and not of a dog. The more we feed the machine with inputs the more its performance in identifying random images increases.

Thus for every problem out there that needs to be solved there are three fundamental questions that should be clear: 'What’s the problem? ', 'Why does the problem need to be solved?', 'How would I solve the problem?'

You might be musing why we are even discussing ML? We were supposed to talk about AI!

Well let me tell you that ML forms the basis of AI. In other words, AI is a bigger concept to create intelligent machines that can simulate human thinking capability and behavior, whereas machine learning is an application or subset of AI that allows machines to learn from data without being programmed explicitly.

Let’s see some of the basic applications of Machine Learning. Apart from the example that we have discussed before here are some of the basic examples based on our day to day life that uses the ML algorithms.

●  Speech Recognition: In some search engines, we get a feature of assistance through voice. It comes under the subset of speech recognition and it is a popular application of machine learning. Speech recognition is a process of converting voice instructions into text, and it is also known as 'speech to text', or 'computer speech recognition'. At present, machine learning algorithms are widely used by various applications. Many robotics developers are using speech recognition technology to follow the voice instructions.

●  Traffic Prediction: If we want to visit a new place, we take help of the navigation systems which show us the correct path with the shortest route and predicts the traffic conditions.

It predicts the traffic conditions too on the basis of the examination of data and can opine whether the traffic is smooth or is slow-moving or if the road is heavily congested. It is achieved with the help of two ways:

1.  Realtime location of the vehicle amassed through sensors

2.  Data on the average time taken on the previous days at the same time.

Everyone who is using these navigation systems is helping this app in making it better. It takes information from the user and sends back to its database to improve the performance.

●  Product Recommendations:  Machine learning is widely used by various e-commerce and entertainment companies  for the sake of product  recommendation to the user. Whenever we search for some product on the apps or websites of these online retailers, we start getting an advertisement for the same product while surfing internet on the same browser and this is because of machine learning.

Information pertaining to the user interest is collected using various machine learning algorithms and helps suggest the product as per customer interest. Similarly, when we use digital streaming platforms, we get to see some recommendations for entertainment series, movies et al and this is also done with the help of machine learning.

●  Automatic Language translation:  Nowadays, if we visit a new place and we are not aware of the language then we would not feel lost and helpless. Machine learning helps us in transcending this human barrier by converting the text into languages that we know. The technology behind the automatic translation is a sequence-to-sequence learning algorithm, which is used with image recognition and translates the text from one language to another.

●  Self Driving Cars: One of the most exciting applications of machine learning is self-driving cars. Machine learning plays a very significant role in bringing this marvel of science to being. One of the most popular car manufacturing companies in the world is working on self-driving car. It is using unsupervised learning method to train the car models to detect people and objects while driving.

●  ML in Supply Chain:   Supply chain, being a heavily data reliant industry, has many applications of machine learning. Some of the uses and benefits  of how ML can impact the Supply Chain Industry are as follows:

1.  AI/ML is implemented in the warehouses to optimise pick-path routes through voice recognition devices and robotic channels such as automatic guided vehicles and autonomous mobile robots. These mechanized models are fed with navigation systems and sensors that help in onboarding and seamless functioning within the warehouses. Other mechanized vehicles like GTP, carousels, conveyors, vertical lifts, forklifts help reduce errors in warehouse movement and amp up productivity and profitability.

2.  AI works towards optimisation of product flow in the supply chain through inventory control. Stockout or overstocking or staffing are the challenges that logistics industries meet on a daily basis. These sophisticated and innovative technologies render accuracy in inventory management and thus business performances are also achieved well.

3.  Machine learning helps derive actionable insights, allowing for quick problem solving and continual improvement.

As the conclusion to this article that tried to capture the essence of this much-debated, much-discussed grain of learning that what we see is just the beginning of a colossal digital revolution. In the  coming years ML/AI is going to automate nearly each and every human task.  Machine Learning is going to open up unparalleled opportunities for organizations enabling automation, efficiency, and innovation thereby making our lives much easier than ever before.

Since the turn of the Century, the world has witnessed the evolution and spread of technology at an incredible pace, in all domains of life, ranging from medicine to finance, to entertainment. Though the process of utilization of modern technology even for simple, everyday tasks began in the last century itself, the rate at which it is now growing could never have been predicted. There is now not a single sphere of existence which has remained untouched or unaffected by the spread of technology, which is yet rapidly evolving every moment, and thereby transforming our very own manner of living.

The world is now home to technologies which, once upon a time, could only have been a part of a sci-fi movie or a fantasy novel. Billions of important banking and financial transactions are conducted every minute from smartphones. Smartwatches now not only tell you the time, but also the number of heartbeats per minute, as well as glucose and oxygen levels. Entire educational courses, on a variety of subjects, are available online for those unable to attend traditional classrooms. Technology has also increased the productivity of almost every industry in the world. These are just a few of the examples of what modern technology is capable of.

The importance of modern technology has recently been highlighted in view of the unpredicted global pandemic that the world is currently dealing with. This crisis has changed the way various organizations conduct their businesses, and the manner in which citizens take care of their day-to-day affairs. Entire procedures and processes have shifted to an online mode, ranging from selling household articles of daily use, to the transaction of business by logistics and supply chain firms, to providing various services such as Information Technology and allied services, among others. Educational services ranging from the primary to the university level courses are now being provided through various technological channels. 

There is no doubt that technology has made human lives more comfortable. The only question that really remains is, whether the price of overdependence on technology is a bit too high. As with all tools and utilities that humans have designed and developed for improving the standard of living, modern technology also has its own advantages and disadvantages. 

While it cannot be denied that modern technology has enhanced the comfort and convenience of human life, there is also a flip side to this over reliance on it. Since the Industrial Revolution in the 18^th Century, the path of human development has always leaned very heavily on technology. The outcome is that, that in the present scenario, the entire global system of human subsistence is based on harnessing and utilizing various technologies, constantly and continuously being developed by mankind. Traditional practices that were beneficial, or at least less harmful, for the planet as well as human beings, are being rapidly replaced and forgotten.

The level of entrenchment of various technologies has grown to such an extent, that various devices and gadgets which were earlier categorized as luxury products have now become a necessity. When mobile phones were first invented, they were luxury items only the rich could afford. Now, in the current situation a major share of our daily activities is actually being conducted through smartphones. While this has increased the ease of living, it has also raised concerns regarding online security, data theft and addiction.

An important issue with regard to the over dependence on technology is related to privacy. With so much of our time spent connected to the internet through one device or another, there is a constant transfer and exchange of important information. This raises the possibility of sensitive information being passed knowingly or unknowingly, to parties which may possess ulterior motives, and might seek to misuse it. This may even have far reaching national and international ramifications, when it involves the sovereignty and security of a nation, as was recently the case when the Government of India banned Chinese applications on smartphones, which were sending user data back to their native country.

Another factor to consider, is the potential which modern technologies possess for becoming too addictive, especially for the younger generation, which has never known an era in which technology was not as widespread as it is now. It is impossible for youngsters to resist the urge to keep checking the screens of their smartphones. Consequently, the previous decade has seen a tremendous decrease in the amount of physical activity undertaken by youngsters. As is common knowledge, a certain minimum level of physical activity is crucial for the human body to be in proper, normal, and healthy functioning form.

Another problem is that of the ever growing amount of e-waste. With the rapid growth of technology and the resultant decline in costs, a trickle down effect has led to the access of an ever widening plethora of devices that are being purchased and replaced everyday, even in countries where basic necessities are still not available to the poorest sections of the society. Heightening levels of consumerism, coupled with easier and cheaper access to smartphones, tablets, smartwatches and other gadgets, which are constantly being replaced and discarded, is resulting in a rising burden of electronic waste. On the one hand there is an ever growing problem of electronic waste, while on the other, we have yet to devise an effective method of safely disposing off, or recycling this waste. Electronic waste is also detrimental to the natural environment, and poses a threat to the regular functioning of the ecosystem.

What may come as a shock but which in fact, has become a reality is the direct link between increasing demand for technological goods and a rising rate of crime. Cases are being reported not only of theft and burglary, but also of murder, linked to the escalating demand for modern technology. Crimes such as online financial frauds, identity theft, data theft and blackmail are becoming all too common in the age where almost every economic activity is being conducted, at least partially, through the internet. 

It can be said that the arguments both, in favour of as well as against, utilization of modern technology have logical and valid points. Yet, the conclusion that can be drawn is, that various technologies have become a part and parcel of human life, as it stands now, and they cannot simply be overlooked and ignored. In the present era, it is not possible to survive without utilizing this technology. The only rational step forward is to ensure that proper safeguards are in place, and are being religiously observed, and to be in a state of constant vigilance against misuse of this technology.