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Evolving Supply Chain Management in Retail

Evolving Supply Chain Management in Retail

Supply chain management is a crucial aspect of the ever-evolving retail industry. Due to the massive disruptions caused by the recent pandemic, there has been a noticeable shift in supply chain management – from traditional, centralized models to more decentralized and agile networks.

To meet customer demand and to stay ahead of the competition, retailers need to have complete visibility of their supply chain network. This can be achieved by leveraging technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and Blockchain.

“Retailers are leveraging data to improve operations and offer a more personalized experience for customers,” Alan Boehme, CTO, H&M Group, Sweden said in a podcast.

“For example, if a shopper picks up a garment in the front of the store and takes it to a fitting room in the back of the store, we actually can see that garment moving and we can create brand new customer experiences or predict based on their purchase history or predict based on what they’ve picked up.”

By adopting these innovative technologies, retailers can achieve a higher level of efficiency and responsiveness in their supply chains. They can effectively monitor the location and condition of goods, optimize inventory levels, and ensure seamless transportation. Furthermore, these advancements enable retailers to forecast demand more accurately and make informed decisions, empowering them to meet customer expectations and maintain a competitive edge.

Here’s how geospatial and location play a role in supply chain management:

Warehouse & Inventory Management

With the growth of e-commerce, lack of clarity on stock levels and incorrect data on availability could lead to bottlenecks and delays in delivery. Geographic Information System (GIS) enables retailers to visualize all parts of their supply chain, from warehouse to transportation assets, and down to store inventory, all in one platform.

Indoor mapping of an entire warehouse can significantly improve stock visibility and the order picking process. With the help of AI, orders can be clustered logically, which helps optimize picking routes by warehouse employees. Such integrated, intelligent task planning also optimizes workload distribution for employees and helps prioritize more time-critical shipments. Similarly in a superstore, restocking shelves, finding and returning misplaced products, and tracking inventory levels are challenging tasks for store employees.

An integrated system of indoor positioning, IoT sensors, robotic scanners, and AI can be trained to detect items on the shelves, recognize the specific product types, and compare the quantities on the shelves to the predicted sales demand. The system then automatically triggers out-of-stock notifications to internal apps that alert store employees to re-stock particular items.

In the future, the current 2D capability will be further refined and replaced with 3D. “The advent of Augmented Reality (AR) will drive a nascent need for 3D data to map complex building structures, from the warehouse to the mall and down, one day, to the aisle and the shelf, in the store,” says Nick Zabikow, Senior Director of Sales, Logistics and Technology, HERE Technologies, USA.

Demand Prediction

Demand prediction helps retailers minimize stockouts, reduce excess inventory, and most importantly, ensure customer satisfaction. “Location data was not commercially available before 2015. So one of the most powerful recent capabilities is the creation of a historical database, i.e. the ability to monitor the change in consumer behavior over time,” says Yiannis Tsiounis, Ph.D., Executive Chairman, Advan Research, USA.

On top of historical sales data, customer behavior analysis, and market trends; special events such as holiday seasons and weather patterns also affect demands. Analyzing such data in a GIS can ensure accurate demand prediction by store location.

Another parameter that can be used to understand demand patterns, especially for supermarket chains, is the number of cars in the parking lots. Using archived high-resolution satellite data, automobile counts can be collected accurately and at the same time on specific days. When combined with other data, it can provide valuable snapshots of monthly sales activity at individual stores or trends among retail locations.

Shipment Tracking

Order fulfillment and shipping are the most critical components for retailers as they impact customer retention and profitability. Real-time shipment tracking utilizes GNSS-enabled telematics devices or Radio-frequency identification (RFID) tags, combined with logistics databases, to determine the position of any package at any moment in time.

Whenever a parcel is scanned, it gets assigned to a vehicle or a dispatcher, which position is constantly monitored via mobile devices. Such real-time location updates allow retailers to gain immediate visibility into the location, condition, and availability of products throughout the supply chain. Consequently, offers a more transparent delivery information to consumers.

“With better precision in tracking, routing algorithms will evolve; also using more and more complex datasets, the technology trends of routing, ETA calculations will move towards predictive analytics, helping a retailer and its operations centers be more proactive,” adds Zabikow.

Last-Mile & Hyperlocal Delivery

Last-mile delivery is a critical component of the entire retail supply chain. The goal of last-mile delivery is to deliver orders to consumers as quickly as possible.

Location Intelligence can help retailers reorganize information into its route planning algorithms or by reconfiguring distribution services for specified consumers’ locations. An efficient last-mile delivery will not only increase productivity but improve customer satisfaction and loyalty.

“Previously, people needed to travel to retail locations, whereas with the new trend, businesses now can rely on dark stores, logistics-wise optimized locations for effective shipments. Therefore address handling, geocoding, routing and optimization for deliveries are now more critical,” says Alim Küçükpehlivan, CEO, Basarsoft, Turkey.

Having a route optimization software powered by geospatial technology will help delivery drivers/riders determine the best routes to take based on real-time updates on traffic conditions, roadblocks and other incidents on the road. This capability will enable faster deliveries, save fuels and more profit as more deliveries can be made within a day.

The system can also be used to analyze late deliveries. By correlating delivery times and delays with variables such as building type, access type, and parking facilities, a new layer of delivery intelligence can be created on top of location data.

“In India, increasingly retail delivery and deliver-to-consumer location are becoming popular. All segments of retail are witnessing huge appetite for location intelligence. In addition to aggregators like Zepto, Swiggy, Instamart, Dunzo, BlinkIt, and Big Basket, big consumer brands and retail companies are also directly delivering to the customers through delivery/courier partners,” shares Aswani Akella, Founder, LatGeo Consulting, India.

“From urban areas, the services are now migrating to tier-2, tier-3 towns and rural areas. Interestingly, hyper-localized services and solutions are manifesting a behavioral shift in consumption patterns triggering demand for predictive and prescriptive analytics,” he adds.

In addition, many businesses across various industries use geocoding, which is converting street addresses into geographic coordinates. There has been a transition from range interpolation geocoding, which assumes locations for certain establishments, to Rooftop Geocoding, which indicates the exact location of the structure.

“This shift has resulted in greater location accuracy, leading to significant benefits for businesses,” says Jan Kestle, President and CEO, Environics Analytics, Canada.

In recent years, retailers such as Walmart, Amazon, and Domino’s Pizza have tested the use of automation for last-mile delivery. This includes drones, autonomous vehicles, and robots. Such unmanned and contactless deliveries require accurate geospatial and location capabilities to ensure delivery safety and efficiency.

ALSO READ: Location Intel for Marketing

Remote Sensing and Its Evolution

Remote Sensing and Its Evolution

Remote sensing is one of the types of geospatial technologies used for data collection in the form of imagery from space or UAVs and sensor platforms. It supports the collection of detailed multispectral data that has led to a better understanding of minerals, soils, urban development, agriculture, and other geographic features.

What is remote sensing and how does it work? 

Remote sensing can be defined as the process of acquiring information about an object from a distance. These sensors detect and monitor electromagnetic radiation, being reflected from Earth in the form of visible wavelengths radiated, reflected or scattered, ultraviolet, microwave, and infrared wavelengths. Here are some examples:

  • Remote sensing helps to track the growth in urban areas.
  • Changes in forests or farmland over several years can be monitored.
  • Forest fires can be mapped through satellite cameras by using remote sensing technology.
  • Helps to predict the weather or monitor volcanic eruptions

What are the types of remote sensing? 

Remote sensing is classified into two types:

Active Remote Sensing

Active sensors use their own emission source or light to illuminate the object and measure the distance. An example of this is the camera that we use to take pictures. When the flash is used, cameras act as active sensors. They illuminate their target and measure the reflected energy back to the camera. Active sensors are needed to capture the images under the shade.

There are different types of active sensors such as:

  • Radar
  • LiDAR
  • Sounder
  • Scatterometer
  • Laser altimeter
  • Ranging instruments

Passive Remote Sensing

Passive sensors do not emit energy; they rely on solar light to illuminate the object. That is why these sensors only be used with proper sunlight; otherwise, there is nothing to reflect. These passive sensors cannot operate in bad weather conditions. It is impossible for passive sensors to quantify plant structure under a canopy, as sunlight is typically reflected from the top of a forest.

The following are the common types of passive sensors:

  • Spectrometer
  • Radiometer
  • Spectroradiometer
  • Accelerometer
  • Hyperspectral radiometer
  • Imaging radiometer 

Why is remote sensing important?

Remote sensing is one of the most advanced technologies for planning and management. It provides the latest information about any object located at a great distance. Applications of remote sensing are used in the development processes such as soil, forestry, geology, and agriculture. It is used for sustainable development, disaster management, environmental degradation, and natural resource management.

How is remote sensing evolving with the advancements in technology? 

With advances in drone and robotic technologies, remote sensing is also evolving. The use of these platforms complements traditional platforms and provides more accurate insights.

These technologies have opened up a new class of use cases that were not possible with traditional aerial survey methods. They provide new opportunities for monitoring remote areas, and their form factor and cost enable a higher frequency of data collection.

Drone and robotic technology platforms can be used for remote sensing in various fields such as energy, forestry, oil and gas, transportation, aviation, emergency management, and natural resource restoration and conservation. The frequency of data from these platforms is combined with analytics and cloud infrastructure, to acquire, analyze and act upon in more effective ways.

Drones Redefining Retail

Drones Redefining Retail

Drones have become a pivotal force in the retail sector today. They offer advantages such as cost reduction, time-saving, enhanced customer experiences, improved efficiency, and heightened safety.

Last-mile drone deliveries are proving to be immensely useful in regions where road transportation is challenging or infrastructure is unreliable.

The emerging market for delivery drones is driven by surging consumer demand for expedited deliveries, and a mounting emphasis on reducing carbon emissions. Combined with tech advances, unmanned aerial vehicles are increasingly supplanting traditional delivery routes, signaling a new era in contemporary logistics.

Whether it be seamless shopping experiences during day-to-day retail operations, marketing photography, inventory management, customer behavior analysis, delivery services, transportation, or security; Drones have set themselves in stone in the retail industry.

Transforming Deliveries

Projections indicate that by the year 2028, the delivery drone market is poised to soar to an impressive valuation of $1.29 billion, exhibiting a remarkable compound annual growth rate (CAGR) of 40% from 2021 to 2028.

Drones possess a distinct advantage in providing swifter delivery than traditional transportation methods. The escalating demand for high-efficiency, particularly in same-day deliveries, coupled with intensifying competition in the retail market, impels retailers to adopt drones for speedy delivery services.

From packages to perishable items like tea or soap, drones enable local retailers and fulfillment centers to promptly deliver goods to customers.

A notable example would be Walmart through Droneup which over the past year has safely completed more than 6,000 deliveries in 7 states to customers in as little as 30 minutes. The items delivered via drone included ice cream, chicken, and lemons. 85% of items at this point meet the 10-pound payload capacity (foreseeable increase to 15 pounds) and volume requirements for drone delivery in a Walmart Neighborhood Market.

This vast array of products ensures a diverse range of goods can be swiftly transported, facilitating faster returns and expediting their reintegration into the supply chain.

Embracing drone deliveries empowers retailers to exercise better control over their products thereby the entire logistics chain. By eliminating the need for thirdparty delivery services, retailers can closely monitor and regulate every step of the logistics process.

A good example of it is Amazon’s Newest Prime Air Delivery Drone, the MK30, which has been engineered to withstand a wider range of temperatures and light rain. The improved design also promises an extended range, offering consumers more opportunities to utilize the service.

Monitoring Supply Chain Routes & Aiding Inventory Management

Adding onto the drone delivery management in areas of poor infra and challenging road transportation, monitoring supply chain routes for disruptions is also another area that the drones can address. This could alleviate the impact on truck deliveries. These drones can monitor road conditions, construction slowdown areas, and other hazards while reporting the information to logistics managers who can quickly select alternative delivery or shipping routes.

Drones streamline store inspections

Retailers can deploy drones equipped with sensors to locate and measure inventory across their facilities, including networks and containers. The application of drones within warehouses and fulfillment centers has proven exceptionally valuable for indoor inventory management.

Drones effortlessly navigate through unstructured large-scale environments, accessing areas that are risky to human inspectors. The use of drones to scan and check inventory in the warehouse using OCR (Optical Character Recognition), RFID (Radio Frequency Identification), and barcode readers can offer better inventory management.

An example of the above would be Ingka Group, an innovative retailer, in collaboration with the Supply Chain Development Team at Inter IKEA Group, and Verity, an indoor drone systems provider, embarked on a venture to develop a fully autonomous drone solution.

“Some retailers have tried different drone solutions, but IKEA is the first retailer to implement a fully autonomous drone solution for inventory at this scale. The solution was developed together with Verity, a provider of indoor drone systems,” says Marcus Baumgartner, Global Customer Fulfilment Manager Ingka Group, IKEA Retail (Ingka Group).

Drones streamline store inspections and assist store managers in swiftly assessing inventory levels, surpassing the efficiency of human associates. Drones aid in timely replenishment, by detecting dwindling stock, ensuring accurate and realtime inventory data.

Enhancing Retail Security through Indoor Surveillance Drones

Security stands as a paramount concern within the retail realm. Security personnel and cameras alone cannot adequately cover all areas of a retail property in event of a theft.

Drones offer a novel solution by providing real-time video surveillance of facilities, warehouses, stores, and their surroundings. They enable monitoring and inspection of critical areas and locations that cameras and security guards may not effectively cover.

Drones, also in conjunction with security sensors, can detect potentially suspicious activities. In the event of theft, drones trigger the security system, promptly notifying the security team while continuously tracking the perpetrator, sharing real-time location updates, and alerting the authorities.

The question may be asked as to why not static cameras instead of drones? Though they have their advantages, stationary cameras come with their own set of cumbersome problems, primarily being stationary. This can be a real problem as the location of the cameras can be a target for outside interference.

Cameras can’t communicate or respond to changes in instructions while autonomous drones can be very interactive. Drone fleets can fly round the clock, automatically docking in charging stations when their power runs low.

The capital expenditure on drones is also a fraction of the cost of stationary cameras or even human personnel.

A leading Robotics company, Indoor Robotics leads the way in this aspect. Their primary indoor surveillance drone Tando is designed to efficiently handle tedious, repetitive tasks to reduce false alarms, costs, and risks in various environments, especially in warehouses and retail malls, and stores.

The advantages include detecting intruders, validating false alarms, and picking up on fires or any safety hazard using sensors. MedOne, Israel’s largest data center hub, has implemented Indoor Robotics’ Tando system at its biggest server farm in Israel for improving security and safety.

Elevating Retail Marketing Photography

For effective product promotion and advertising, compelling and high-resolution product photos are crucial. However, budget constraints may hinder retailers from accessing professional photography studios or hiring expensive photographers.

Drones offer a partial solution by capturing photos from diverse angles and distances, including bird’s-eye views and ground-level shots. This cost-effective approach ensures the acquisition of clear product images, which can be utilized in marketing campaigns.

Drones for commercial advertising have been huge in the retail industry. Businesses that cater to attract consumers to their products by taking very appealing pictures and videos using aerial drones for their advertisements.

Photographers or videographers also resort to taking pictures and videos to showcase a wide variety of products of a business. These can be featured on the company website, print advertisements, and billboard signage.

Unveiling Consumer Insights by Observation

Aerial drones, equipped with cameras and positioned at elevated vantage points, capture and record customer movements and behavior.

These recordings unveil shopping routes, duration spent at specific sections, and overall patterns.Retailers can harness this particular capability of drones to track and observe consumer behavior, unlocking invaluable insights for analyzing and understanding purchasing preferences and traits.

One example is Indoor Robotics mentioned previously whose drones collect and analyze real time data in order to be prepared to relay data or seek command in case of an emergency. These drones can collect data and provide retail analytics for daily operational tasks within the areas premises in real time too.

This information can also be utilized to arrange product placements, optimize floor spaces, and enhance shelf layouts. In essence, the data derived from drone observations fuels design and decoration decisions that attract more customers which in turn drives sales.

Another imminent example of it is Dronedek, a provider of a mailbox-as-a-service platform.

They have developed a solution for their food delivery problem where understanding how far the customers are and their eating times can help with Dronedek’s mailboxes receiving the food at the correct time through autonomous drones. The drones can also recharge their batteries and even keep food deliveries hot or cold.

Drones as Personal Shopping Assistants

In the world of retail, customers often invest considerable time in finding the right products. So deploying drones as shopping assistants expedites and streamlines this process. This enables customers to swiftly locate desired items, verify prices, and obtain accurate product information.

This is particularly helpful during peak sale seasons when sales associates may be overwhelmed and unable to attend to every customer promptly.

These drones are equipped with sensors, which can verify prices and cross-reference information from centralized computer databases. Employing drone shopping assistants not only reduces labor costs but also saves time for both customers and staff.

Walmart does this where the utilization of drones as Personal Shopping Assistants would facilitate the identification and price verification of products within the store, catering to the needs of customers.

The envisaged system would allow consumers to request the presence of a drone via an electronic mechanism. Once engaged, individuals would have the option to either input the desired item manually or employ the drone’s integrated scanning system to initiate the search.

In the case of product exploration, the drone would adeptly guide the user at a deliberate pace to the precise aisle and location where the desired item can be found. With their increasing adoption & progression, drones & unmanned aerial vehicles are reshaping the retail landscape and propelling a new era of efficacy and customer satisfaction in logistics and operations.

AI’s Promethean Dilemma

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AI’s Promethean Dilemma

Barbenheimer, a portmanteau of ‘Oppenheimer’ and ‘Barbie’, is the latest internet trend.

While the two namesake movies, one a biopic of physicist J. Robert Oppenheimer, the ‘father of atomic bomb’, and the other a fantasy tale of the eponymous doll, have nothing in common, the seamless juxtaposition of grim reality and innocuous fantasy, has got minds racing.

Nolan’s recent statement on the movie being a warning about Artificial Intelligence, which he regards as more baleful than nuclear power, will yet again draw attention to what I term AI Apocalypse Now anxiety.

AI Peril?

Dubbed as the auteur’s masterpiece, ‘Oppenheimer’ is a silver-screen adaptation of the Pulitzer-winning American Prometheus: The Triumph and Tragedy of J. Robert Oppenheimer by Kai Bird and Martin J. Sherwin.

Overlooking the morbid fears of AI, and Oppenheimer’s racked conscience after ‘Fat Man’ was dropped on Nagasaki — leading to his refusal to helm the Hydrogen Bomb project — there is something innate about the teleology of innovations, and epistemic institutional limitations.

Nolan’s comparisons of AI with thermo-nuclear energy, and his ominous message, will certainly have a massive resonance, as it comes at a time when leading scientists and entrepreneurs are already expressing dismay about AI.

What differentiates Nuclear from AI is the Catch-22 of AI regulations, which is the highly decentralized and self-amplifying nature of AI, and to a large extent, the futility of regulations that can’t match the exponential pace of innovation.

Enduring Myth 

Illustrative here is the Greek myth of Prometheus, a Titan who stole fire from the Gods to give it to mankind, enabling the progress of civilization.

For his defiance, Prometheus was chained by Zeus to a rock where an eagle feasted on his liver, which grew every night. The harrowing ordeal represents the complexity of the human condition.

Prometheus is a central figure in the Western civilization’s narrative of progress as well as a cautionary reminder of the constraints of knowledge, looming uncertainty, and invisible fetters.

The profound impact of the Promethean myth on the West is grasped from the fact that Karl Marx as well as Ayn Rand have hailed the Greek Titan as the glowing emblem of human will, knowledge, endeavor, striving, and innovation.

But at the same time, progress is seldom unidirectional, path-dependent, and deterministic. It is often transplanted with the seeds of its demise.

With de-growth and climate transition in vogue, the UN Security Council held a meeting on AI risks, highlighting the Promethean threshold of AI whose blurry lines we are afraid to cross.

High-Risk Scenario?

The Chinese Ambassador to the UN called AI a ‘double-edged sword’, adding, “whether it is good or bad, good or evil, depends on how mankind utilizes it, regulates it and how we balance scientific development with security”.

He has a valid point, and so far, so good. But that’s exactly where the Promethean Trap lies. The inability to fathom what lies ahead, and compute the unintended consequences of any breakthrough that transforms the world forever.

The Greek word for a fatal flaw leading to a protagonist’s downfall is Hamartia. The debate over whether AI would be a Frankenstein monster or a subservient handmaiden reeks of escapist self-indulgence. Neither exuberance nor premonition would take us anywhere.

There is a need to first get at the root of complex phenomena and then devise impactful solutions.

Are we entering into an epoch of AI Doomsday? Not Yet.

In ‘Birth of Tragedy’, Friedrich Nietzsche says real tragedy occurs when ‘order’ and ‘chaos’ indistinguishably merge into each other. As of now, we neither have AI-imposed order, nor anarchy let loose by it.

Australia’s SmartSat, ESA’s Φ-lab Collaborate on Earth Observation

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Australia’s SmartSat, ESA’s Φ-lab Collaborate on Earth Observation

Australia's SmartSat and ESA’s Φ-lab to Collaborate on Earth Observation

SmartSat has signed a new agreement with the European Space Agency’s (ESA) Φ-lab to collaborate on Earth Observation (EO) research.

The European Space Agency’s Φ-lab is a research center with a mission to accelerate the future of Earth Observation through transformational innovations and new technologies, including artificial intelligence (AI) and onboard processing.

The agreement builds upon SmartSat’s existing relationship with Φ-lab, who supported cosine to develop the HyperScout imager payload. This payload is currently being integrated into the SmartSat-led South Australian Kanyini satellite, following consultations with Φ-lab regarding its Φ-sat-1 satellite mission. The synergies between these missions offer significant collaboration opportunities between SmartSat and Φ-lab regarding onboard intelligence for EO applications, creating a solid foundation for further research activities under the new agreement.

SmartSat CEO Professor Andy Koronios, who signed the agreement in Rome, said, “We have identified new collaboration opportunities between researchers at the Queensland University of Technology and Φ-lab to develop advanced AI capabilities using hyperspectral satellite imagery. This will create the next generation of predictive intelligence that can forecast and monitor agricultural and environmental activities and disaster events with greater accuracy.”

As part of the new agreement, SmartSat and Φ-lab plan to establish an exchange program for research personnel and SmartSat PhD students to undertake internships at Φ-lab.

Mahindra, NXP sign MoU to Drive Next-Gen Smart Electric Mobility

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Mahindra, NXP sign MoU to Drive Next-Gen Smart Electric Mobility

Mahindra, NXP sign MoU to Drive Next-Gen Smart Electric Mobility

Mahindra & Mahindra, a leader in automotive, farm, and services businesses in India, signed an MoU with NXP® Semiconductors, a global provider of secure connectivity solutions for embedded applications. With the association, M&M and NXP will jointly explore the electric and connected vehicle landscape, covering a wide range of vehicles including utility vehicles, light commercial vehicles, farm equipment, and tractors.

Mahindra intends to explore NXP’s extensive portfolio, innovative automotive system solutions, and expertise in zonal and domain controllers, electrification, advanced vehicle networks, and secure car access technologies for their upcoming platforms. The step is in line with Mahindra’s commitment to deliver innovative solutions that enhance the safety, eco-friendliness, and overall enjoyment of the commuting experience for its customers.

Rajesh Jejurikar, Executive Director & CEO – Auto and Farm Sectors, Mahindra & Mahindra Ltd. said, “We leverage NXP’s advanced technologies and solutions to build SUVs that are safer, highly connected, and environmentally friendly.”

Mahindra will also get access to NXP’s robust partner ecosystem, comprising Tier 1, ODM, IDH, module vendors, and integrators. This will also provide valuable insights into NXP’s technology roadmap, encompassing synergistic areas like the Smart Home and Industrial sectors.

Trimble Launches Cloud-Based Version of LIMS Software for Forestry

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Trimble Launches Cloud-Based Version of LIMS Software for Forestry

Trimble Launches Cloud-Based Version of LIMS Software for Forestry

Trimble announced the launch of LIMS PRO, a new cloud-hosted version of its widely used Log Inventory and Management System (LIMS) to manage sawmill raw material procurement. As a cloud-based log settlement solution, LIMS PRO is designed to improve operational visibility for mills. It enables small- and medium-sized forest product companies to realize productivity and growth gains that only large companies have historically been able to afford by digitizing lumber supply chain workflows.

Taking the power of LIMS and creating a more accessible Software-as-a-Service (SaaS) version, this robust business management software streamlines contracts, receiving, inventory and settlement processes into a single platform, providing forestry companies with a complete picture of their operations. In addition, the software assists with mobile ticketing in the woods before the logs make their way to sawmills, eliminating the need for manual recordkeeping.

Comprised of a mobile application, web-based applications and an onsite receiving application connected to the weigh scale, LIMS PRO provides an easily accessible reporting dashboard that shows exactly what is happening from forest to sawmill. Whether in the woods or at the weighing scale, this new software simplifies the complete process for sawmills—taking it from days to hours through improved data accuracy, real-time reconciliation, minimization of processing errors and faster truck turn times.

Kevin Toohill, general manager of Trimble Forestry said, “LIMS PRO enables partners and others along the value chain to digitally transform their operations—moving from paper tickets, log sheets and manual data entry to modern workflows. This means increased accuracy and less time spent tracking down paper copies or entering data multiple times.”

In addition to digitizing the supply chain, this new software enables forestry organizations to:

  • Simplify load reconciliation by syncing the weigh scale to the settlement system within minutes
  • Automate invoicing and financial settlements
  • Track yard inventory while monitoring costs to procure timber inventory
  • Manage key performance indicators and assess the overall health of the business
  • Seamlessly share data with partners
  • Eliminate need for additional IT infrastructure as the solution is hosted and managed in Trimble’s secure AWS cloud environment
  • Integrate mobile tickets, using the LIMS mobile application, with weigh scales to replace hand-written tickets and log sheets

FNT Software, MHI sign MoU to Improve Data Center Efficiency and Sustainability

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FNT Software, MHI sign MoU to Improve Data Center Efficiency and Sustainability

FNT Software, a provider of software solutions for the integrated management of IT, data center, and telecommunication infrastructures worldwide, announced an MOU with Mitsubishi Heavy Industries, (MHI), an industrial group spanning energy, smart infrastructure, industrial machinery, aerospace and defense. Together, FNT and MHI will combine their innovative solutions and also develop new solutions to improve the management of data centers and to tackle energy consumption challenges faced by data centers and drive sustainability.

As part of the partnership, MHI’s solutions for analysis and energy management will be integrated into FNT’s data center infrastructure management (DCIM) software solution. The collaboration also includes the development of new solutions which will enable the seamless operation of IT and infrastructure facilities and optimization of power consumption. Additionally, FNT will offer planning and operational support to leverage changes in new technologies and improve existing operations in data centers, such as cooling optimization and energy efficiency.

“With the rapid acceleration of digitalization, power consumption within data centers is rising at a significant pace, posing many challenges in terms of energy conservation,” said Carsten Wreth, CEO of FNT Software.

“MHI is keen to support the ongoing transition of Data Centers towards sustainability and energy efficiency through power generation and cooling solution. Our new Partner FNT has already supplied its DCIM solution integrating data center IT and infrastructure management, monitoring, and planning functions to more than 500 customers worldwide, contributing to the realization of sustainable data centers through operational optimization. The collaboration with highly valued FNT will accelerate contributing to further optimization in Data Center infrastructure.”, says Shin Gomi, General Manager in Business Development, Growth Strategy Office of MHI.

In demonstration tests of immersion cooling units now under development, MHI has achieved a significant reduction in requisite power consumption compared with conventional data centers. By integrating liquid cooling technologies with FNT’s DCIM solution, systems can transfer heat more effectively, allowing for lower fan speeds and reduced energy consumption. This results in overall energy savings, energy efficiency and decarbonized data centers as well as green transformation (GX) in the IT field.