★★★★★Logistics Innovation Map Reveals Emerging Technologies & Startups

 

Logistics Innovation Map Reveals Emerging Technologies & Startups

Today, the logistics industry is experiencing strong pain points such as high inefficiency rates. At StartUs Insights, we analyzed 40.000+ startups to identify the technologies carrying the logistics industry tomorrow.

Related topics:INNOVATION MAPLOGISTICSTECHNOLOGY

The major component driving the advancement of the logistics industry is the digital transformation. Emerging technologies offer new solutions to tackle existing challenges such as warehouse automation, last-mile delivery, and transportation optimization. For logistic companies striving to survive in this highly competitive industry, it is vital to innovate rapidly and integrate new solutions.

At StartUs Insights, we are committed to innovation and providing companies like yours with actionable insights on how to develop your business and collaborate with cutting-edge startups. For this reason, we have analyzed 40.000+ emerging startups in-depth using our proprietary AI- and data-driven innovation scouting approach. Let’s go through the results of our Logistics Innovation Map:

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Logistics Innovation Map (c) StartUs Insights

 

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Automated Guided Vehicles (AGVs)

Considered the ground equivalent of drones in last-mile delivery, automated guided vehicles hold an even greater potential for disruption in the logistics industry. Logistics companies willing to innovate in this area can draw from various use cases such as last-mile delivery, line-haul transportation, and warehousing operations. In warehousing, the main application, AGVs massively contribute to a new paradigm of material handling by meeting full automation. In last-mile delivery, significant progress is made as well with automated guided vehicles even being ahead of drones as the regulatory system is more open towards them.

Robotics & Automation

In less structured environments, robots are already capable of manipulating objects, therefore, supporting zero-defects logistics processes and massively supporting performance as well as improving sensing capabilities up to a point where they nearly substitute manual handling. These robots are either 100% automated or collaborate with people (“cobot”). A few of the use cases are remarkably conceivable: fully automatic solutions unload containers or palletize which establishes new application areas such as collaborative, pick & place, and shelving robots among many others. Whereas large companies focus on integration (building hardware and combining it with vision/tactile solutions), cutting-edge startups tend to specialize on vision and tactile solutions, one of the biggest opportunities in the robotics area as they aim to solve challenges such as speed, picking from random, part quality vision, and color contrast.

Augmented Reality (AR) & Wearables

Wearable technology such as smart clothing, bionic arms or smart contact lenses act as a powerful support tool for the human workforce. Adding an augmented reality system such as wearable cameras or smart-glass displays unlocks additional value for logistics companies, e.g. gamification to train & onboard new employees or the utilization of smart glasses for picking, positioning and scanning to empower employees to work hands-free.

Drones

Drones (aka unmanned aerial vehicles) begin to disrupt the industry by offering in- and outdoor use cases such as last-mile delivery, inventory management, security, inspection scanning, serving as collaborative tools for delivering items between employees inside the warehouse as well as certain material handling scenarios. Though drones are not expected to replace ground delivery entirely (see AGVs for reference), this technology has a significant impact on logistics processes.

 

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Last-Mile Delivery

As the rise of eCommerce has reinforced the importance of customer preferences and demands, last-mile delivery has become a vital aspect for logistics companies. Through making use of smart lockers, a flexible courier workforce along with the power of the crowd, last-mile delivery acts as a key differentiator in terms of customer satisfaction.

Anticipatory Logistics

Though anticipatory logistics is not yet very common in the industry, it is without a doubt that it will become a powerful asset. Implemented through software solutions, anticipatory logistics predict demand before it occurs. This enables logistics companies to substantially improve efficiency through reduced delivery times and better utilization of their transport capacity and network through predictive algorithms derived from big data.

Machine Learning

Machine learning or, as it is sometimes called self-learning, is one technology bound to transform the logistics industry as we know it today. Because this form of Artificial Intelligence (AI) requires very little human intervention and adapts algorithms according to the data received, it becomes more efficient automatically. Some application areas for machine learning in the logistics industry include the optimization of algorithms for shippers to select carriers, route and do quality control, the use of natural language processing (NLP) to speed up data entries, as well as the optimization of storage, order picking, order validation and waste reduction in the warehouse. Ultimately, this results in process optimization and the automation of decision making in logistics.

Internet of Things (IoT)

Logistics companies are widely expected to take full advantage of the Internet of Things as is holds many promises. Some of the many application areas include smart objects taking part in event-driven processes, asset tracking within the warehouse and in the delivery status, environment sensing (e.g. freshness monitoring), and fleet management. Overall, the IoT adds massive value across the entire supply chain including warehousing, last-mile delivery, and freight transportation.

Disruptive Startups In The Logistics Industry Include:

• French startup Scallog optimizes order fulfillment utilizing automated guided vehicles to lift up to 600 kg and carry storage shelves at a speed of 1 m/s thus dramatically improving warehouse efficiency.
• Germany-based Smart-Robotics builds collaborative robotic arms (“cobots”) in different size variations to suit a wide range of needs. The arms “mimic movements of human hands closely due to unrivaled flexibility provided by the six joints”.
• German oculavis produces smart glasses which empower the human workforce to complete their tasks hands-free. The startup makes use of AR to create new applications including picking & placing orders by vision, scanning, and real-time tracking.
• UK-based Unmanned Life is an award-winning startup operating at the frontiers of drone technology. The company currently works on building “the world’s first and only fully autonomous drone-based parcel sorting center”.
• Quiqup provides businesses with affordable on-demand logistics services. The startup’s Quiqees fleet shops, picks up and drops anything needed, offering transportation of a package by car, scooter, or bike while providing real-time tracking for each delivers.
• Bulgaria’s Transmetrics is on a mission to end delivery inefficiencies by providing logistics companies with network optimization and demand forecasts using predictive analytics and big data.
• Sentenai facilitates the use of sensor networks to support real-time intelligence across logistics networks or in the cloud. The startup’s stream learning system gathers a company’s data to increase the intelligence of their systems, which is able to adapt to changes as it can relearn a stream’s structure.
• IoT startup CargoSense lets companies easily track valuable assets via their platform. The startup’s software taps into data provided by internet-connected sensors, thereby guaranteeing logistics companies full transparency as to what happens to a package until delivery.

As mentioned earlier, the digital transformation is the main disruptor in the logistics industry and will account for €1.42 trillion in investments that are to be allocated to logistics by 2025.

The eight innovation areas outlined in this Logistics Innovation Map scratch the surface of what we found during our analysis. Blockchain, logistics as a service, cloud logistics, digital identifiers, and additive manufacturing are all areas bound to significantly impact logistics companies one way or the other. Identifying new opportunities and emerging technologies to implement into your business early on goes a long way in gaining competitive advantage and becoming an industry leader.

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물류 산업의 발전을 이끄는 주요 요소는 디지털 혁신입니다. 새로운 기술은 창고 자동화, 라스트 마일 배송 및 운송 최적화와 같은 기존 문제를 해결하기위한 새로운 솔루션을 제공합니다. 경쟁이 치열한이 산업에서 살아 남기 위해 노력하는 물류 회사의 경우 빠르게 혁신하고 새로운 솔루션을 통합하는 것이 중요합니다.

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자동 유도 차량 (AGV)
마지막 마일 배송시 드론에 해당하는 것으로 간주되는 자동화 된 안내 차량은 물류 산업의 중단 가능성을 더욱 높여줍니다. 이 분야에서 혁신을 기꺼이하는 물류 회사는 마지막 마일 배송, 라인 운송 운송 및 창고 운영과 같은 다양한 사용 사례를 활용할 수 있습니다. 주요 응용 분야 인 창고에서는 AGV가 완전 자동화를 충족함으로써 새로운 자재 취급 패러다임에 크게 기여합니다. 라스트 마일 배송에서는 규제 시스템이 더 개방되어 있기 때문에 무인 항공기보다 앞서서 자동 유도 차량으로 상당한 진전이 이루어집니다.

로봇 공학 및 자동화
덜 구조화 된 환경에서 로봇은 이미 물체를 조작 할 수 있으므로 결함이없는 물류 프로세스를 지원하고 성능을 크게 지원할뿐 아니라 수동 처리를 거의 대체 할 수있는 지점까지 감지 기능을 향상시킵니다. 이 로봇은 100 % 자동화되거나 사람들과 협력합니다 ( "코봇"). 완전히 자동화 된 솔루션은 컨테이너를 언로드하거나 팔레 타이 징하여 협업, 픽앤 플레이스 및 선반 로봇과 같은 새로운 응용 분야를 설정합니다. 대기업은 통합 (하드웨어 구축 및 비전 / 촉각 솔루션과의 결합)에 중점을 두는 반면, 최첨단 스타트 업은 로봇 공학 분야에서 속도와 같은 문제를 해결하려는 가장 큰 기회 중 하나 인 비전 및 촉각 솔루션을 전문으로하는 경향이 있습니다. , 임의의 부품 품질 비전 및 색상 대비에서 선택합니다.

증강 현실 (AR) 및 웨어러블
스마트 의류, 바이오닉 암 또는 스마트 콘택트 렌즈와 같은 웨어러블 기술은 인력을위한 강력한 지원 도구 역할을합니다. 웨어러블 카메라 또는 스마트 글래스 디스플레이와 같은 증강 현실 시스템을 추가하면 물류 회사, 예를 들어 신입 사원 교육 및 선상을위한 게임 화 또는 피킹, 포지셔닝 및 스캔을위한 스마트 글래스 활용으로 직원이 핸즈프리 작업을 수행 할 수 있습니다.

드론
무인 항공기 (일명 무인 항공기)는 라스트 마일 배송, 재고 관리, 보안, 검사 스캔, 창고 내부 직원들 사이의 물품 배달을위한 협업 도구 역할을하는 실내 및 실외 사용 사례를 제공함으로써 산업을 혼란에 빠뜨리기 시작합니다. 특정 자재 취급 시나리오. 드론이 지상 배송을 완전히 대체하지는 않지만 (참조 용 AGV 참조)이 기술은 물류 프로세스에 큰 영향을 미칩니다.

 

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라스트 마일 배송
전자 상거래의 증가로 고객 선호와 요구의 중요성이 강화됨에 따라 물류 회사의 마지막 마일리지 전달은 중요한 측면이되었습니다. 라스트 마일 배송은 스마트 로커, 유연한 택배 인력 및 군중의 힘을 활용하여 고객 만족 측면에서 주요 차별화 요소로 작용합니다.

예측 물류
예측 물류는 아직 업계에서 흔하지는 않지만 강력한 자산이 될 것이라는 것은 의심의 여지가 없습니다. 예측 물류는 소프트웨어 솔루션을 통해 구현되어 수요가 발생하기 전에 예측합니다. 이를 통해 물류 회사는 빅 데이터에서 파생 된 예측 알고리즘을 통해 배송 시간 단축과 운송 용량 및 네트워크 활용률 향상을 통해 효율성을 크게 향상시킬 수 있습니다.

기계 학습
기계 학습 또는 자체 학습이라고도 불리는이 기술은 오늘날 우리가 알고있는 물류 산업을 변화시킬 수있는 기술 중 하나입니다. 이러한 형태의 인공 지능 (AI)은 사람의 개입이 거의 필요하지 않으며 수신 된 데이터에 따라 알고리즘을 조정하므로 자동으로 더 효율적이됩니다. 물류 산업에서 기계 학습을위한 일부 응용 분야에는 운송 업체가 운송 업체를 선택하고 경로를 지정하고 품질 관리를 수행하는 알고리즘의 최적화, 데이터 입력 속도를 높이기위한 NLP (Natural Language Processing) 사용, 스토리지 최적화, 창고에서 주문 피킹, 주문 확인 및 폐기물 감소. 결과적으로 프로세스 최적화와 물류 의사 결정 자동화가 이루어집니다.

사물 인터넷 (IoT)
물류 회사는 많은 약속을 가지고있는 것처럼 사물 인터넷을 최대한 활용해야합니다. 많은 응용 분야에는 이벤트 중심 프로세스, 창고 내 및 배송 상태의 자산 추적, 환경 감지 (예 : 신선도 모니터링) 및 차량 관리에 참여하는 스마트 객체가 포함됩니다. 전반적으로 IoT는 창고, 라스트 마일 배송 및화물 운송을 포함하여 전체 공급망에 막대한 가치를 부여합니다.

물류 산업의 파괴적인 신생 기업은 다음과 같습니다.
프랑스 스타트 업 Scallog는 자동화 된 안내 차량을 사용하여 주문 이행을 최적화하여 최대 600kg을 들어 올리고 1m / s의 속도로 스토리지 선반을 운반함으로써 창고 효율성을 크게 향상시킵니다.
독일 기반의 Smart-Robotics는 다양한 요구에 맞게 다양한 크기의 협업 로봇 팔 ( "코봇")을 제작합니다. 팔은 "6 개의 관절이 제공하는 최고의 유연성으로 인해 인간 손의 모방 운동"입니다.
독일의 oculavis는 인간의 핸즈프리 작업을 완료 할 수있는 스마트 안경을 생산합니다. 스타트 업은 AR을 사용하여 비전, 스캔 및 실시간 추적을 통한 주문 선택 및 배치를 포함한 새로운 애플리케이션을 만듭니다.
영국에 본사를 둔 Unmanned Life는 드론 기술의 최첨단에서 운영되는 수상 경력에 빛나는 스타트 업입니다. 이 회사는 현재 "세계 최초이자 완전 자율 무인 항공기 기반 소포 분류 센터"를 구축하고 있습니다.
Quiqup은 비즈니스에 저렴한 주문형 물류 서비스를 제공합니다. 스타트 업의 Quiqees 차량 상점은 필요한 모든 물품을 수거 및 하차하여 차량, 스쿠터 또는 자전거로 패키지를 운송하는 동시에 배송마다 실시간 추적을 제공합니다.
불가리아의 Transmetrics는 물류 회사에 예측 분석 및 빅 데이터를 사용하여 네트워크 최적화 및 수요 예측을 제공함으로써 배송 비 효율성을 끝내는 임무를 수행하고 있습니다.
Sentenai는 물류 네트워크 또는 클라우드에서 실시간 인텔리전스를 지원하기 위해 센서 네트워크 사용을 용이하게합니다. 신생 기업의 스트림 학습 시스템은 회사의 데이터를 수집하여 시스템의 인텔리전스를 향상 시키며, 스트림의 구조를 다시 배울 수 있으므로 변경 사항에 적응할 수 있습니다.
IoT 스타트 업 CargoSense를 통해 기업은 플랫폼을 통해 귀중한 자산을 쉽게 추적 할 수 있습니다. 스타트 업의 소프트웨어는 인터넷에 연결된 센서가 제공하는 데이터를 활용하여 물류 회사가 배송까지 패키지에 대한 모든 투명성을 보장합니다.
앞에서 언급했듯이 디지털 혁신은 물류 산업의 주요 혼란 요소이며 2025 년까지 물류에 할당 될 1.4 조 1 천억 유로의 투자를 차지할 것입니다.

이 물류 혁신지도에 요약 된 8 개의 혁신 영역은 분석 과정에서 찾은 표면을 긁습니다. 블록 체인, 서비스로서의 물류, 클라우드 물류, 디지털 식별자 및 적층 제조는 모두 물류 회사에 큰 영향을 미칠 수있는 영역입니다. 초기에 비즈니스에 구현할 새로운 기회와 신기술을 파악하면 경쟁 우위를 확보하고 업계 리더가되는 데 큰 도움이됩니다.

물류의 미래에 대한 더 많은 통찰력을 얻으려면 연락하십시오!