Smishad Thomas

Smishad Thomas

Smishad Thomas is the Customer Experience Manager at eInfochips. He has over 10 years of experience into customer service and marketing. Smishad has completed his Masters in English Literature along with a degree in Corporate Communication.

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How Predictive and Video Analytics Nexus can Enable a Smart Retail Store?

The goal of any entity dealing with technology is to create solutions that will make our lives easier by solving our problems and making things simpler and faster for us. The focus has always been to capture the incidents and draw insights or evidence from it. But if we can avoid these incidents from happening then our city will be a face haven. Predictive analytics implemented through video management systems can help us to foresee an incident before happening and avoid it.


How Predictive and Video Analytics Nexus can Enable a Smart Retail Store


So what is Predictive Analytics?


Predictive analytics is a form of analytics that uses both new and historical data to forecast future incidents, behavior of people, and trends. Predictive analytics is not a new concept but has been used by various organizations around the world. It has also been used by some retail stores to improve the customer experience by understanding their buying behavior. It gives you an advanced forecast into the future, helping you to stay ahead of the curve by identifying the needs of the customers.


How Predictive Analytics can help Retail?


Retail stores generate a huge amount of human-cantered data, most of which remains untapped and resides in store data servers.


Improving Security and Surveillance: Many stores have embraced video analytics to address their worrying problems of theft and fraud. Theft and fraud can be curbed with face recognition, where the VMS will pick up on people who have a past record of suspicious activities. So the store security is alerted and they can keep an eye on them or else escort them out of the store. Another way of countering theft is based on the study of patterns of suspicious activities through machine learning that have been recorded in the past. So any store using predictive analytics can get a forecast of such activities, helping them to avoid it. 


Understanding Buying Behavior: Besides security and surveillance, predictive analytics can also help in terms of understanding buying behavior of customers. This can be done by taking advantage of metrics- the demography, age group of the customers visiting your store, average basket size, gender, time etc.  Apart from that, the data generated by handheld barcode scanners or mobile applications that are used for smart check-out registers the buying patterns of the customers. You will be able to derive insights into what items are more likely to be bought at your store.


Through predictive analytics the store can push promotions of related products or other products that might be of interest to the customers. Using predictive analytics can also help you understand at what time slots your store is most likely to be busier, helping you to position your promotions accordingly and derive optimum utility out of it. 


Improving Customer’s Shopping Experience: Even when these two angles are being addressed, there is also a need to build a loyal customer base and provide a unique shopping experience so that the customer returns to the store. Many a times the wait-time while standing at a check-out counters can be frustrating. Queue management analytics can reduce wait-times by automatically opening other check-out stations by counting the people the number of people in the queue, thus saving the customer’s time. With people counting and also hot spot analysis, the store can optimize their workforce to cater to the aisles with high traffic. 


Devices or applications for self-checkout can also improve customer experience. Through these devices you can also push promotions of the items they are more likely to buy based on the products they have bought in the past. Pop-ups for missed items can also assist the customer with his shopping. Through heat-mapping, the store authorities can find out how much time a customer has spent reading or watching the promotion and in that case send an attendee to assist them. This will also help the store to measure the performance of their promotional activities. This can also help in the launch of new products.   


Predictive analytics can help businesses make progress incessantly towards the future and will help the retail stores stay ahead of the curve. If you are interested in exploring Video Analytics, know more about how Video Analytics can help in City Surveillance


About Author

smishad thomas

Smishad Thomas
Customer Experience Manager

Smishad Thomas is the Customer Experience Manager at eInfochips. He has over 10 years of experience into customer service and marketing. Smishad has completed his Masters in English Literature along with a degree in Corporate Communication.

7 reasons why IoT Device Lifecycle Management Platform is Essential for Connected Device Development

Managing devices smartly is a very important activity for any product company. IoT Device Lifecycle Management platforms can enable seamless and proactive management of programs concerned with connected device development.


In the last decade, the use of connected devices has skyrocketed, both in industries as well as homes. According to Markets&Markets, the combined market for these platforms is expected to grow at a CAGR of 29% between 2016 and 2022 to reach $30 billion by 2022. 


Many companies have to manage large volumes of interconnected devices which is considered to be a major challenge. According to a Device Pilot study, about 88% of companies find device management as a major concern and are incorporating methods to manage their devices seamlessly. In such a scenario, a platform is needed to manage all on-field devices with ease. This is where device lifecycle management comes handy.


7 reasons why IoT Device Lifecycle Management Platform


Why you need IoT Device Lifecycle Management?

  1. To know your devices: Device lifecycle management platforms can assist you in managing, tracking, securing, and sustaining all your devices. Device lifecycle management dashboard can be remotely accessed to allow devices to be provisioned, managed and decommissioned in real time.
  2. To improve productivity: It helps in asset utilization enabling employees to find more time to focus on core and value creation, thus improving the output of the organization.  
  3. Reduce downtime: Apart from these activities, device management helps you monitor errors and bugs and rectify them in real-time. This helps in minimizing device downtime, which in turn, improves service reliability.  For any company, developing and releasing products into the market is simply not enough. There is a greater need to manage the product lifecycle so that with time these devices will meet user expectations.
  4. Stay updated: Device lifecycle management allows you to remotely upgrade and configure devices, thus, making it convenient to manage them while increasing device uptime.  It is available both as a Cloud-based and on premise solution, giving you the flexibility to manage on-field devices from any location in real time.
  5. Focus on customer satisfaction: It allows you to reduce your time in ticket solving and provide exceptional customer service. Better customer service builds reliability and trust. Apart from saving time and costs, it also helps in reducing overheads by automating superfluous processes.
  6. Fix the spark before it catches fire: It alerts or sends alarms in case of an emergency, helping you to fix the problem and troubleshoot the root-cause immediately.
  7. Data Feedback:  With a sea of interconnected devices generating enormous amount of data, Device lifecycle management can provide in-depth analysis on the performance of each device for effective device lifecycle management.

For any product company, the real time data derived from the usage of the devices can give great insights in order to deliver better utility. For any organization, this data could be very vital to continuously improving the product functionality. This will in-turn increase the product satisfaction rate among consumers.


eInfochips offers IoT Device Lifecycle Management solutions, providing a platform for remote upgrades and perform maintenance for your devices. This enables considerable reduction in device downtime and improve productivity of employees. Automating the process also brings significant improvements in the operational efficiency of the business. With automated alerts and remote troubleshooting, it has helped many stores to remotely manage their devices with ease.


If you want know more on IoT Device Lifecycle Management design, check our article on “4 Fundamental Building Blocks in Designing Remote Device Management for IoT”


About Author

smishad thomas

Smishad Thomas
Customer Experience Manager

Smishad Thomas is the Customer Experience Manager at eInfochips. He has over 10 years of experience into customer service and marketing. Smishad has completed his Masters in English Literature along with a degree in Corporate Communication.

Providing Better City Surveillance with Video Analytics

The topic of security and surveillance has gathered increasing attention over time. A recent spate of horrific terror attacks across Europe and the United States has served as a wake up call for intelligence agencies and law enforcement to greatly expand on their street-surveillance capacity. After a major terror incident in Nice, France, the city has effectively been described as “The CCTV Capital of France” with 1256 cameras deployed all over the place including tram cars, compared to just 220 in 2007. The video data is collected and analyzed by the city’s intelligence agencies to keep track on suspicious parcels, and keep public events incident-free. In fact, many city authorities worldwide are investing time and resources to develop smart systems to prevent similar attacks on their urban areas.

 city security


This is where the need for on-board video analytics or video management solutions becomes inevitable. Video analytics enable security teams to monitor activities with ease which can help prevent incidents while decreasing the need for human surveillance. Post-incident, they generate alerts, allowing intelligence teams and law enforcement to take effective steps and preventive measures.


So, how does Video analytics help in city surveillance? Let’s take a look at a few use cases.

  • On highways or freeways, video analytics can be very effective in traffic management. If any vehicle is moving in the wrong direction, it can send an alert based on motion detection. An alert could also be triggered to the authorities who can communicate with each other via radio to ensure smooth transition in the traffic avoiding any major collisions, accidents or disruption in traffic.
  • Studying video analytics data can be a great help in remote locations which are difficult to track. In such cases, triggers and alerts can be generated via emails, pop-ups on screen, text messages or an alarm if a breach has occurred.
  • Functions like crowd management can enable city authorities to manage the flow of crowds in certain areas based on the density to avoid congestion or concentration of traffic in an area.
  • Vehicles can be identified on-the-spot for over speeding or breaking any other laws so that authorities can take safety messages to alert other drivers. Video management software can also trigger alerts or notify authorities in case there is the possibility of an accident with the help of predictive analytics.
  • Face detection can also help law enforcement to keep a close watch on any person with past criminal records.
  • In case of any breach or incident, video analytics can also send the captured video of the incident to the authorities, so that the footage can be reviewed and necessary actions taken regarding the incident.
  • Video management software can also detect cameras being tampered with or unauthorized readjustments.
  • Cameras with on-board smoke detection can raise alarm in case of fire or smoke to avoid severe damage.
  • Smart kiosks with cameras can also detect the people who access it but also helps the city to monitor any vandalising of these kiosks. Smart kiosks which have Wi-Fi calling facilities can also track any audio evidence if there is a suspicious call placed by a suspicious person.


Just recording countless hours of video footage is not enough in this day and age. Security and surveillance should always be one step ahead of criminals and terrorists to ensure that our cities are a safe place for the citizens. The possibilities with video management solutions are endless as it can be developed based on specific requirements. Since there are new innovative breakthroughs taking place in the field of security and surveillance with video analytics, we can expect features and functionalities that will not only help city authorities foil criminal activities but also ensure safety of citizens all at the same time.


Advanced video management solutions, with analytics, enable city authorities to effectively manage lot of different parts of the city by analysing the data fetched from these softwares.


To download our publication on Smart Transit, please click here. To know more about our offerings in security and surveillance, please email us at This email address is being protected from spambots. You need JavaScript enabled to view it..


About Author

smishad thomas

Smishad Thomas
Customer Experience Manager

Smishad Thomas is the Customer Experience Manager at eInfochips. He has over 10 years of experience into customer service and marketing. Smishad has completed his Masters in English Literature along with a degree in Corporate Communication.

Enhance Security and Customer Service with Event-based Video Analytics

In the last few years, retail industry players have been making an active push to combat various challenges including shoplifting and fraud, which can originate from both internal and external sources.


Though video cameras which are ubiquitous everywhere can definitely provide you with a basic security layer, usually from a post-event perspective, recently we are seeing a spurt in video analytics technologies which can prevent the incidents from occurring in the first place. Video security and surveillance systems have come a long way due to new innovations in technology. We are now able to derive the use for countless hours of video feed with the help of video analytics. It has further helped different industries to not only tighten on-premises security, but also provide proactive customer service.

 cctv camera

Video analytics can be classified into two types, one - based on events, and the other, based on predictive analytics. In this blog, we will take a brief look at event-based analytics and see how it can help in retail site intelligence.


Event-based Analytics

Event-based analytics give us more evidence of an incident after it occurs. However, one can always opt for analytical tools based on their individual requirements. Motion sensing cameras not only give us the evidence of an incident, but also about what caused it in the first place. Any suspicious or malicious activity can be reported by triggering an alert to loss prevention officers at a given store. Smart cameras with in-built DSP chips can also send alerts to store authorities in the event of a fire or smoke. Such analytics can be on-board or can also be part of video management software, which is deployable on a server.


Queue management analytics can help you easily manage cash registers, doors or aisles. This also indirectly helps map the performance of store clerks when the store is busy. POS integration can track any suspicious patterns or frauds in discounts, manual entries, invalid returns, and refunds acquired without authorization. Thus, video analytics not only tightens the security in and around your store, but also plays a key role in enabling you serve your customers effectively.


The type of cameras used is also an important factor in facilitating effective security and surveillance.


The advent of 4k cameras has helped security and surveillance in a huge way. Retail stores armed with 4k camera technology can now obtain ultra HD visuals which helps easily identify miscreants. There are further improvements that have to be made with 4k technology as some scope is currently undergoing research and development. With more companies around the world working on 4k, improvements will soon be seen.


ZigBee-enabled camera networks are ideal for not only retail stores but homes as well. ZigBee is a wireless mesh network which uses low power radio signals to communicate with devices, and consumes low power. Many stores have already adopted the ZigBee network which has helped them easily manage store security and surveillance.  


Every store needs to find an ideal solutions partner who can help maintain safety and security. First of all, one can start by researching and try to find a solutions partner who has ample experience of working in the retail industry. Partners with relevant experience will always advice how to deploy those solutions that are essential for your business at the right price.


eInfochips has been working in the retail industry for more than a decade, providing a variety of cutting edge solutions that will help retail stores to manage security with ease. Analytics that will help you to enhance the insights on customer’s in-store behaviour and providing a truly connected in-store ecosystem for retail companies.


To know more about our offerings in retail site intelligence or to get advice on improving home security, please do contact us and our retail intelligence expert will get in touch with you.


About Author

smishad thomas

Smishad Thomas
Customer Experience Manager

Smishad Thomas is the Customer Experience Manager at eInfochips. He has over 10 years of experience into customer service and marketing. Smishad has completed his Masters in English Literature along with a degree in Corporate Communication.


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