New Articles

From Excessive Gratuities to Egregious Typos, Receipt Verification Finds Them All

From Excessive Gratuities to Egregious Typos, Receipt Verification Finds Them All

Auditing expense reports requires auditors to closely examine each expense to verify if the correct receipts are attached, and make sure the receipt matches the information input by the employee. This may sound daunting, but this process is essential for catching potential mistakes – or worse, fraud within travel and entertainment (T&E) spend.

Catch discrepancies between the receipt and user inputs

At the end of the day, employees are human, and humans make mistakes. Take for example an employee who traveled to the UK and submitted their hotel stay as $300,000 instead of the actual charge of $300. Is this potential fraud?

Nope – at least not this time. In this case, it was just an honest mistake. For anyone who has traveled to the UK, you know that receipts are formatted differently than those in the US. The comma is used inverse to the period, meaning a charge that would appear as £300,00 is representative of a total of $300.00, not $300,000.00 (actually it’s something like $392.00, but you get the point).

Regardless of whether an instance such as the example above is an honest mistake or blatant fraud, receipt verification helps auditors catch these discrepancies by reading the contents of every receipt – such as the total amount, the date of purchase, or the merchant, and matching it with the information input by the employee.

Avoid out-of-policy spend with itemized receipts

Using AI to read the contents of every receipt will help companies detect out-of-policy purchases such as drinks from the mini-bar in a hotel room. This type of violation can easily be hidden by submitting a non-itemized receipt.

To avoid out-of-policy purchases from slipping through the cracks, we recommend companies require itemized receipts for certain expenses such as meals and hotels. Our AI’s receipt verification will detect and flag any reports that don’t have an itemized receipt attached to line items marked as meal or hotel expenses.

Prevent overly generous or creative tippers

Most would agree that it’s common courtesy to tip a server or taxi driver. In the US, this often rounds up to roughly 15% of the total. Some may argue that great service is worthy of a 20% tip, however, it’s unlikely that any auditor would agree that an 80% percent tip is reimbursable when it’s on the company’s dime.

Whether the employee is just extremely generous, or perhaps cleverly adds an extra number in front of the original tip amount for their own financial gain, our AI will flag the potential risk to an auditors’ attention for further investigation.

Optimize receipt verification efforts

We often hear that requiring a receipt for low-dollar purchases is a headache for auditors. In fact, efforts spent penny-pinching often cost the company more money than it saves, because auditor time is wasted looking over every receipt.

Detecting greater financial risks often yield a greater impact when reducing T&E spend and, therefore, should be the primary focus of the auditor’s attention. We recommend considering a $75 threshold for receipts on entertainment, meals, gifts, and travel expenses. Not only will this help travelers submit their expense reports in a more timely fashion, but it also saves auditors a significant amount of time.

Using AI to verify receipts alleviates the need of an auditors aimless review every single receipt submitted within an expense report. Instead, auditors can focus on reviewing potential financial risks when they are notified of reports that appear questionable and require additional investigation.

Travis is a Senior Product Marketing Manager at AppZen.

Transplace Earns Challenger Position by Gartner Inc.

Gartner Inc. confirmed the inclusion of leading logistics solutions provider, Transplace as a Challenger for the 2019 “Magic Quadrant for Transportation Management Systems.” The company’s robust portfolio offers top grade technology solutions for companies both large and small, creating streamlined operations with a strategic approach.

“Companies are constantly seeking new ways to improve supply chain performance and reduce costs while maintaining high levels of service to increasingly demanding customers, and today’s technology solutions that give them greater visibility, predictability and control over their logistics operations than ever before,” said Jim French, CTO, Transplace.

“We believe our positioning in the Challengers quadrant by Gartner continues to validate Transplace’s commitment to provide innovative transportation management solutions that enable shippers to better manage their transportation networks, improve financial performance and deliver outstanding service to their customers.”

Transplace’s transportation management services are credited for supporting businesses in manufacturing, retail, automotive, chemical, distribution and more, ultimately increasing visibility while improving efficiencies.

“As the supply chain continues to become faster and more complex, shippers need technology and logistics platforms that enable them to more effectively plan and execute a strategic, data-driven logistics strategy,”
Transplace CEO Frank McGuigan said. “Transplace continues to invest in its logistics solutions and services, including integrating machine learning, artificial intelligence (AI) and predictive analytics, to achieve greater supply chain automation, optimization, predictability and visibility.”


Optimization Software Helping Air Cargo Carriers Address Challenges, Improve Performance, and Maximize Growth Opportunities

For air cargo carriers, there are many factors converging to introduce new challenges to their logistical planning and operations. Changing customer expectations, new partnership definitions, and emerging competitors are all conspiring and requiring air cargo carriers to adapt to these new market dynamics. Mastering the so-called “disruptors” will require optimized strategies and processes both of which gain a significant boost from leading-edge optimization solutions. Understanding the disruptors and how best to address them will be the key for today’s air cargo carriers’ continued growth and ability to successfully compete.

Challenges and Performance Improvement Goals

There is no question that despite positive growth projections by leading airline industry groups, including the International Air Transport Association (IATA), air cargo carriers have hurdles to overcome. IATA’s prediction of a rise in cargo in 2018 came true with 62.5 million tons of cargo carried in 2018, a 4.5% increase over figures in 2017 leading to an 8.6% increase in cargo revenues at $59.2 billion. This growth boosts confidence, but air cargo carriers are not celebrating just yet. Still, air cargo carriers are not celebrating just yet. They realize that to achieve growth and profitability, they need to improve their value proposition by optimizing their processes and overall performance. This will require they get ahead of new challenges, while embracing new tools that facilitate better performance.

Among the key challenges air cargo carriers must address are:

-Those relating to the delivery of different cargo in accordance with the Service Level Agreement (SLA) for each cargo product, and recording time-stamps required for the audit trail;

-Optimal management of staff and equipment resources on the apron and in the cargo warehouse; and

-Maintaining optimum situational awareness and management by exception even in the most complex and confusing situations.

In addition to helping address these challenges, air cargo carriers also need solutions that will help them improve their performance of various tasks such as:

-Transporting of cargo between the aircraft and cargo center, as well as transports between different locations within the cargo center;

-On-time dolly availability at aircraft stands and holding areas;

-Preparation of dolly and trailer trains at aircraft and at outbound docks;

-Cargo build-up and breakdown in the warehouse;

-Loading/unloading of aircraft; and

-Loading/unloading of road feeder services.

The Disruptors

Competitors

When Amazon announced plans to launch its own delivery service, more than one carrier took note and stock of the implications. While its plans are to start accumulating a fleet of branded trucks, what is to say that the Amazon logo won’t soon appear on its own fleet of air cargo carriers? And, will Alibaba be far behind?

Blockchain

When a group of Japanese businesses operating in global trade announced their pilot program to evaluate the application of blockchain technology to streamline and improve cross-border trade operations, there was interest by air transporters as well as those in other modes of transportation. This group is not alone in exploring ways to leverage this digital database that uses linked blocks secured by cryptography to improve transactions and logistics. UPS, for one, has expressed interest in utilizing blockchain technology in its operations.

Big Data

Big Data is also causing a stir within the air cargo industry. Carriers realize that by harnessing the power of real time data, along with more flexible management of workforce and other resources, they can increase their overall efficiency. This is particularly true when it comes to better determining the number of planes needed for cargo transport during specific periods; efficiently scaling up or down accordingly.

Artificial Intelligence (AI)

Like Big Data, Artificial Intelligence (AI) is also getting a closer look by air cargo carriers. While some don’t expect AI to immediately impact the industry, there is a generally accepted viewpoint that it will ultimately help the carriers better forecast their facilities’ needs, improve cargo tracking, enhance revenue management, and optimize processes such as load planning, route planning, workforce management, and customer service. Among the top five air cargo carriers, at least two, FedEx and UPS, are known to be researching the implementation of AI.  Consolidation services are also being looked upon by air cargo carriers as a way to mitigate challenges faced by organizations with lean supply chains and/or those that need to provide a Just in Time (JIT) service even for the smaller quantities.

All of these “disruptors” have changed customer expectations; the operative words here are faster, more flexible, more transparent, and lower prices. These expectations lead us to optimization software. It is already helping air cargo carriers optimize their processes so that they can effectively address challenges, best leverage the new technologies like AI and position themselves for the changing marketplace.

Optimization Software Helping Carriers Retain Their Competitive Edge

Regardless of the challenges, air cargo carriers still have a distinct advantage over other modes of transport; specifically, they are faster and more reliable. Cargo IQ data indicates that air cargo shipments, on average, take 140 hours to go from shipper to the consignee. The reliability of air cargo carriers is another notable differentiator. That is, however, not to say that air cargo carriers don’t benefit from improved processes. Optimization software is intended to take their operations to a whole new level and enable them to retain their competitive edge.

There are advanced solutions that optimize a wide range of carrier processes, from ground handling and airport operations to turnaround management and aircraft maintenance. These solutions have demonstrated a direct impact on the carriers’ productivity, costs of operation, performance levels, communications, and resource management. They enable an air cargo carrier to achieve best practices and process transparency which help them perform with the consistent speed and reliability they tout over other modes of transportation. Let us look at how some of the challenges faced by air cargo carriers are being effectively addressed by applying optimization software.

A key operational challenge faced by air cargo carriers is that different cargo products have different Service Level Agreement (SLA) limits relating to when the cargo must be delivered to the aircraft. This requires carriers to establish and allocate the necessary resources (e.g., dolly trains) in an optimized manner and in adherence to the SLA. There also is another requirement for time-stamps to be recorded as proof and for subsequent auditing purposes. Optimization software addresses this challenge by automatically taking SLA limits into consideration when allocating tasks to resources. Additionally, each action is connected to a time-stamp so that a detailed recording of activities performed can be guaranteed.

Air cargo carriers are further challenged by today’s highly competitive industry and the demand for optimal management of staff and equipment. By applying state-of-the-art algorithms to automatically allocate tasks to staff and equipment in accordance with various parameters (e.g., availability, functional requirements, legal considerations, etc.), optimization software helps carriers achieve optimal asset management and remain competitive.

Given the many operational complexities and typical infrastructure limitations air cargo carriers must contend with, maintaining sharp situational awareness, even under the most stressful and/or chaotic conditions, is vital. Built-in optimizers in today’s most advanced software solutions alleviate much of the confusion enabling staff to fully focus on critical tasks, thereby facilitating management-by-exception.

Real Benefits Derived

Optimization software is delivering real benefits to carriers. INFORM’s GroundStar optimization software suite has made a significant difference on behalf of various cargo customers. For example, by applying the software to allocate and manage its employees, one customer is now able to turn around 350,000 express freight shipments, on average, per night. Having to cater to an estimated 65 cargo flights per night within a short window of just four hours, situational awareness and pro-active decision-making is crucial. The GroundStar solution elevates situational awareness to the highest level to facilitate optimum decision-making. On a typical day, approximately 250 loading staff and drivers are allocated in parallel for efficient workforce management. During the peak holiday season, the strength of the implemented solution is especially evident as more than 500,000 parcels must be efficiently handled per night.

INFORM’s GroundStar also is helping air cargo carriers meet the demands posed by the 5% annual increase in the number of express shipments. It is enabling these carriers to effectively manage expansion by supporting them with advanced automation and optimized and focused decision-making which, in turn, is helping them increase productivity without adding staff.

Another example of how INFORM software is benefiting its cargo customers relates to their estimated 20% increase in dolly train utilization. Prior to their application of GroundStar, the carriers’ loading and cargo transport supervisors were not always able to utilize the full capacity of a tug and its dollies to meet SLAs and other timelines. After the implementation of GroundStar, the information regarding a tug’s status (i.e., whether a tug driver has enough time to wait for another unit load device (ULD) to be collected or to leave the stand with only three ULDs instead of four) is a strategic decision automatically handled by the INFORM software.

The Way Forward

The future for air cargo carriers and their continued process optimization will include further leverage of data – small and Big Data – to extract new insights and empower all staff levels from management to technicians. In turn, air cargo carriers will be able to gain even greater clarity to support their optimum decisions on matters ranging from dynamic disruption management and efficient aircraft turnaround, to aircraft maintenance, workforce management, and supply chain management.

Maven Wave Earns Google Cloud North America Services Partner of the Year

Google Cloud Premier Partner, Maven Wave, now boasts its second consecutive title as Google’s North American Partner of the Year following recognition during this year’s Partner Summit at Google Cloud Next ‘19. The consulting and technology firm’s outstanding ability to deliver digital solutions to customers served as the focal point of the recognition. Maven Wave is known for developing these solutions through the utilization of Google Cloud innovations.

“It is an incredible honor to receive this award for the second year in a row. This achievement recognizes the extraordinary efforts from our teams who, together with our visionary customers and valued Google Cloud partners, have been able to realize remarkable success in enterprise digital transformation,” said Jason Lee, Partner and Founder at Maven Wave.

Maven Wave has served as a Google Cloud Premier Partner for nine years with specializations in areas such as Application Development, Cloud Migration, Data Analytics, Enterprise Collaboration, Infrastructure, Location-Based Services, Machine Learning, and Marketing Analytics.

“Google Cloud provides industry-leading, cloud-native products that allow us to accelerate the development of innovative enterprise solutions, from modernizing infrastructure to creating intelligence from data and enabling work transformation. We remain absolutely committed to our Google Cloud partnership and look forward to continued success for our customers in 2019 and beyond.” 


ProMat Day Three Combines Education, Awards, and Comedy

Thought leaders, exhibitors, and attendees kept the momentum going on day three of this year’s massive ProMat Trade Show in Chicago, despite chilly temperatures. Wednesday’s education seminars continued addressing some of the biggest industry challenges while identifying key differentiators that foster optimal results and competitive advantage.

One of the most talked about themes at this year’s conference is the major issue of labor shortages. Employee recruitment and retention are among the biggest concerns for industry players. As automation continues reducing unnecessary manpower, human involvement has become a complex role to balance. Topic leaders across multiple sectors have already made it very clear that humans in the workplace continue to be a critical component. Even so, some companies continue expressing uncertainty in how to approach tapping into the labor market.

OPEX Corporation’s John Sauer addressed these concerns head-on in a presentation on Wednesday. Sauer is the Senior Business Development Manager for OPEX and boasts 8 years of front line material handling management experience. In his presentation, Sauer confirmed some of the biggest issues among employees in warehouses are factors some might consider to be small – such as climate control, physical demands, consistent hours, and work independence. At the end of the day, employees nowadays are looking for more than just a salary – they want to feel some importance and pride in what they do.

In today’s technology-centric environment, these factors can be addressed through strategic implementation of the technology at-hand. By utilizing technology for optimizations in operations and creating an environment that supports a positive work environment for employees, retention and recruitment challenges can be alleviated.

MHI Industry Night

Wednesday concluded with a special networking event featuring comedian and actor Craig Ferguson following the announcement and recognition of leading companies for “Best Innovations” and Young Professional Awards. There were 108 submissions for the awards and only four finalists were selected for each category. Among the winners included:

Best New Innovations:

Fetch Robotics for CartConnect

Locus Robotics for Gamification

Attachments for Forklift Safety Device (FLSD)

CMC srl for Pick2Pack

Best Innovation of an Existing Product:

ProGlove for Mark 2 Smartglove

RightHand Robotics Inc. for RightPick: The Piece Picking Solution

Artitalia Group Inc. for Versatile Nesting Cart

Swisslog Logistics Automation for ItemPiQ

Best IT Innovation:

Yard Management Solutions for Eagle Eye Yard Management Software

LogistiVIEW for Vision Pick and Put Wall

Schaefer Systems for WAMAS Lighthouse

KNAPP Inc. for redPILOT

Why is there so little expense report misconduct in China?

Recently, I wrote a data-driven piece revealing which countries are home to the most expensive report misconduct. Several of the results were extremely interesting, but the most fascinating piece of data was redacted because it needed to be looked into more thoroughly.

That data point was this: only 1% of expense report items flagged for review by leading automated expense report audits AI software, AppZen in China are ultimately rejected by the client company.

This 1% figure sits at the very bottom of the international list; no other country is even close. For example, Japan, only a few hundred nautical miles away across the East China Sea, ranks in the bottom half of flagged expense dollars rejected, with a much more robust 18%. Here’s the data from the last blog post, but with China put back in.

So what are the explanations for this oddly-low Chinese rejection rate? The answers are somewhat dubious and connect to transfers of wealth. 

Like most nations, China has its unique accounting complexities and one example is the country’s Fapiao system, in which receipts and invoices are actual official tax documents printed on the spot. The goal of Fapiao was to create a transparent system spitting out real-time tax documents at points of purchase across the country, but that hasn’t stopped enterprising folks from coming up with schemes to take advantage of it. 

For example, imagine taking 40 expo guests to dinner after a conference. In America, the hosting employee would simply receive a receipt for the pricey dinner which he would then expense for reimbursement upon returning from the trip. The company submits that receipt as part of its tax return at the end of the year.

Now let’s say some out-of-policy behavior takes place at this dinner; maybe the host employee decided to order several $200 bottles of wine, easily exceeding the $50 bottle company policy limit. AppZen would catch the out-of-policy misconduct on the expense report in this example. 

But in China, Fapiao are actual tax documents and business-related expenses are sometimes used to offset revenue, which allow companies to bring down their corporate income tax. Accordingly, managers subtly encourage their staff to collect Fapiao, and turn the other cheek instead of scrutinizing the documents.

In other words, Chinese corporations can lower their tax bills by indirectly transferring a fraction of those funds to employees via liberal unwritten expense report oversight thereby making them happier, at the expense of The Party’s tax revenue.

The less cynical explanation picks up the same thread of employee satisfaction without looping in Fapiao: the Chinese are, in general terms, lax in their enforcement around expenses; they turn a blind eye to most expense ambiguity to help incrementally raise employee take-home pay. In other words just as Silicon Valley companies are happy to supply their employees with millions of dollars in free meals and snacks at the office to supplement incomes, many Chinese companies are similarly, indirectly liberal outside the office, around expenses.

Either way, the title of this article is somewhat misleading. The Chinese have an average number of expense items flagged for potential conduct by AppZen relative to other countries. The difference is that Chinese companies are choosing to reject these flagged expenses at an unusually-low rate of 1%. The reasons for this are Fapiao loopholes and cultural norms around allowing employees liberties with their work expenses. 

Josh Anish is Senior Directing of Marketing at AppZen,the world’s leading solution for automated expense report audits that leverages artificial intelligence to audit 100% of expense reports, invoices and contacts in seconds.

generative AI market platform edge

ORITAMES APS Scheduler v2.5 Breaks Traditional Barriers

Thanks to increased efforts in autonomous Artificial Intelligence, the ORITAMES APS Scheduler v2.5 – created by Brussels-based company MangoGem S.A., is now capable of handling levels of resources and scenarios of equipment, people, and consumables.

“The ORITAMES APS Scheduler v2.5 uses AI-assisted autonomous machine learning to explore optimization scenarios better than traditional approaches, combining the best of machine computing power and human know-how to facilitate better planning and scheduling,” said Ben Rodriguez, Chief Technology Officer of MangoGem. With solver heuristics notoriously difficult to fine tune, the ORITAMES APS Scheduler v2.5 discovers which settings work best, checks validity and detects trends in data to improve ramp-up and adoption. It can also discover the most promising improvement scenarios and propose them as potential solutions to human planners. It combines several AI-assisted machine learning meta-heuristics including Genetic Algorithms (GA), Taboo Search (TS), Simulated Annealing (SA), Swarm Intelligence (SI) amongst others.”

Photo: MangoGem S.A.

By breaking the barriers of a traditional APS, ORITAMES APS v2.5 sets a new standard by taking on and solving complex and multi-layered cases typical for larger companies.

“The use of AI-assisted autonomous machine learning also eases the integration and reduces the cost of implementation of the ORITAMES APS Scheduler v2.5 within overall supply chain management (SCM) strategies by making modeling easier, improving data quality and decreasing dependency on human expertise,” he concluded.

This advanced software platform was specifically designed to cater to a variety of industries including discrete manufacturing, construction and infrastructure projects, logistics and transportation, equipment and property maintenance, engineering projects and service organizations.

“The AI-assisted disruptive technology delivered in ORITAMES APS Scheduler v2.5 is capable of solving many of the operational performance challenges of Industry 4.0,” concluded Ben Rodriguez, CTO of MangoGem. “It uses AI-assisted autonomous machine learning techniques with multiple solvers and heuristics and, depending on an analysis of the case at hand, will apply many methods to find the one that produces the best results.”

Rigado and Kontakt.io Partner for Addressing IoT, AI Challenges

Intelligent analytics paired with innovative solutions will extend the IoT and AI networks of Rigado and Kontakt.io through their recently announced partnership.

“This partnership addresses the key challenges of commercial IoT by combining a robust, ready-to-deploy intelligence platform with secure and scalable edge infrastructure,” said Kevin Tate, Chief Revenue Officer at Rigado. “The Kontakt.io Simon AI is an impressive complement to our secure edge infrastructure, and it allows companies to immediately translate data from Rigado into the insights that apply to their business.”

By bringing together Rigado Cascade IoT Gateways’ edge connectivity, computing and security with Kontakt.io Simon AI’s abilities in location and sensor analytics software, the partnership aims to reduce complexities and costs associated with optimizing asset management, logistics and operations.

“The value of Simon AI relies on being able to receive rich, real-time data from the smart environment,” said Philipp von Gilsa, CEO at Kontakt.io. “The Rigado Cascade solution provides a secure, scalable and cost-effective way to receive that critical data, no matter the scale.”


Google Cloud added to Blume Global’s Advanced Technologies Toolbox

Blume Global and Google Cloud announced their technology partnership earlier this week, adding to Blume’s already extensive tech toolbox. The company confirmed the partnership will help to improve artificial intelligence (AI), algorithms and machine learning for customers.

The Google Cloud platform provides companies with increased visibility on shipments while enabling them to more accurately predict estimated time of arrivals through its real-time cloud-based performance features.

“Digital supply chain capabilities are evolving quickly and partnerships like this play a critical role in connecting those capabilities and enabling next level integration. A strong ecosystem of partners is crucial to the success of a modern supply chain,” said Simon Ellis, program vice president, global Supply Chain Strategies at IDC.

Blume currently employs data management, blockchain, AI/ML, cognitive interfaces and visualization as part of their strategy to support customers with supply chain solutions.

“We’re delighted that Blume Global will bring its leading digital supply chain capabilities to Google Cloud” said Kevin Ichhpurani, Corporate Vice President, Global Partner Ecosystem at Google Cloud.  “Retail customers want to modernize quickly, and our partnership with Blume will be an asset to them, letting them leverage Blume’s expertise in supply chain alongside the scalability, flexibility and leading AI and ML capabilities of Google Cloud.”

“By joining Google’s Cloud Technology partner program, we are able to focus more on developing our proprietary technology to create advantages in the supply chain,” said Pervinder Johar, CEO, Blume Global. “We chose Google Cloud because they are an open, neutral cloud platform that allows us to scale quickly and take advantage of their expertise in technologies like AI and ML.”

Transplace and Noodle.ai Partner for AI

TMS and logistics technology provider Transplace announced Noodle.ai, a leading provider of Enterprise AI® applications, as its newest partner to support additional artificial intelligence and technology integration initiatives.

Noodle utilizes the curated external data sources in addition to applying predictive technology solutions for supply chain, manufacturing, and logistics-focused businesses.

“Transplace is committed to being a technology leader – not just in developing innovative logistics solutions, but in the technology we incorporate into our business,” said Frank McGuigan, CEO, Transplace. “Partnering with Noodle.ai supports this commitment by allowing us to further integrate AI and machine learning into our organization and deliver greater value to our customers.”

“Enhancing our use of data science through AI and machine learning will enable our customers to make more strategic, data-driven decisions, and allow Transplace to further leverage its large network of shippers and carriers, to increase efficiency, reduce costs and improve service.,” added Transplace CTO Jim French. “These technologies will become an increasingly important part of our technology strategy as we explore additional applications to improve process automation and service predictions.”

Source: Outlook Marketing