The interval candidates expertise between initiating the Amazon Flex driver software and receiving approval can differ considerably. This length is topic to elements comparable to applicant location, present driver demand in that area, and the completeness and accuracy of the submitted software supplies. Some people could obtain approval inside just a few days, whereas others could expertise a wait lasting a number of weeks and even months.
The fluctuating want for supply personnel influences the activation of recent driver accounts. In areas the place current driver capability meets or exceeds present demand, new functions could also be positioned on maintain till demand will increase. Traditionally, intervals of excessive shopper spending, comparable to throughout the vacation season, have coincided with lowered wait occasions for potential drivers. Nevertheless, these developments aren’t constant and might shift quickly.
Understanding the influencing elements and potential variability concerned within the onboarding course of is essential. Subsequent sections will delve into particular methods for monitoring software standing, various gig economic system alternatives to think about throughout the wait, and steps to optimize the applying for sooner processing.
1. Location’s Driver Saturation
The density of current Amazon Flex drivers inside a particular geographic space exerts a major affect on the applying processing timeframe for potential drivers. Excessive driver saturation usually correlates with prolonged wait occasions, reflecting a lowered want for added personnel.
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Lowered Demand for New Drivers
In areas the place the prevailing pool of Flex drivers adequately fulfills present supply calls for, the inducement to onboard new drivers diminishes. Amazon could implement a ready listing or quickly droop new functions in these areas to keep away from oversaturation and keep work quantity for energetic drivers. For instance, metropolitan areas with well-established supply networks usually expertise extended ready intervals because of the ample availability of drivers.
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Aggressive Scheduling
Driver saturation straight impacts the provision of supply blocks. A bigger variety of drivers competing for a finite variety of blocks reduces the incomes potential for every particular person, probably resulting in dissatisfaction and turnover. Amazon strategically manages the driving force pool to steadiness provide and demand, contributing to software delays in saturated markets to control competitors.
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Operational Effectivity Issues
An overabundance of drivers can pressure logistical infrastructure and negatively have an effect on supply effectivity. Route optimization and bundle allocation develop into extra advanced when a surplus of drivers can be found, probably resulting in inefficiencies within the supply course of. To mitigate these challenges, Amazon could decelerate the onboarding of recent drivers in saturated areas.
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Influence on Earnings and Incentives
Excessive driver saturation can lower the incomes potential and diminish incentives for Flex drivers. Block charges could also be lowered, and bonus alternatives could develop into much less frequent, resulting in decreased driver satisfaction. This, in flip, can affect Amazon’s technique concerning new driver recruitment, probably leading to longer wait occasions for applicant approval in saturated areas.
In abstract, location’s driver saturation is a major determinant of the applying timeframe for Amazon Flex. Areas with a excessive focus of current drivers usually expertise prolonged ready intervals, reflecting Amazon’s effort to steadiness provide and demand, optimize operational effectivity, and keep affordable incomes alternatives for its driver community. Potential candidates ought to take into account these regional variations when evaluating the potential to interact with the Amazon Flex platform.
2. Software Completeness
The completeness of an Amazon Flex software straight influences the general processing timeframe. A submitted software containing omissions, errors, or inconsistencies invariably extends the ready interval. This prolongation arises from the need for Amazon to hunt clarification or supplementary info from the applicant. Every occasion of incomplete or inaccurate knowledge introduces a delay, because the system can’t proceed till the deficiency is rectified. For instance, a lacking driver’s license quantity or an incorrect deal with triggers a evaluate maintain till the right info is supplied.
Moreover, incomplete functions can impression the background test course of. Discrepancies or lacking particulars could require extra verification steps by the background test supplier, resulting in substantial delays. Inaccurate car info, comparable to an incorrect make or mannequin, can equally impede the validation course of. The promptness and accuracy with which an applicant addresses these points straight correlates to the velocity of software processing. Subsequently, meticulous consideration to element throughout the preliminary software section is paramount in minimizing potential delays.
In conclusion, software completeness is a vital determinant within the size of the Amazon Flex software wait time. Incomplete or inaccurate submissions set off verification holds and prolong the background test course of. Potential drivers are strongly suggested to rigorously evaluate all software supplies previous to submission to make sure accuracy and completeness, thus mitigating avoidable delays and facilitating a smoother, extra environment friendly onboarding course of.
3. Background test processing
The background test represents a vital section inside the Amazon Flex software process, straight impacting the general ready interval. This course of, executed by a third-party vendor, entails verifying an applicant’s prison historical past, driving report, and different pertinent info. The length of this test varies, influenced by elements such because the applicant’s residential historical past, the accessibility of data from related jurisdictions, and the workload of the background test supplier. Delays inside the background test straight translate into an prolonged wait earlier than an applicant is cleared to start driving for Amazon Flex. As an example, if an applicant has lived in a number of states, every state’s data have to be examined, including time to the method. Equally, backlogs on the background test supplier can considerably improve the ready interval, regardless of an applicant’s particular person report.
The thoroughness of the background test is important for sustaining security and safety requirements inside the Amazon Flex supply community. Amazon prioritizes making certain that people entrusted with delivering packages to clients meet specified standards. The background test serves as a mechanism to mitigate dangers, comparable to theft, property harm, or hurt to clients. If the background test reveals probably disqualifying info, additional investigation could also be required, resulting in extra delays. In some situations, an applicant could also be required to offer supporting documentation or clarifications to deal with considerations raised throughout the background test course of. Amazon adheres to strict authorized and regulatory necessities regarding background checks, additional influencing the time wanted for completion. This consists of compliance with the Honest Credit score Reporting Act (FCRA), which mandates that candidates be notified and supplied with a chance to dispute any hostile findings.
In abstract, background test processing constitutes a major factor of the Amazon Flex software timeline. The length is determined by an array of variables, from the applicant’s private historical past to the effectivity of the background test vendor. Whereas Amazon strives to expedite the method, the need of conducting complete checks to uphold security and compliance requirements usually ends in an prolonged ready interval. Understanding the position of background checks and the elements that have an effect on their length helps potential drivers handle their expectations and plan accordingly, mitigating potential frustrations arising from perceived delays.
4. Seasonal demand spikes
Seasonal demand fluctuations exert a considerable affect on the applying processing occasions for Amazon Flex drivers. These intervals of elevated shopper exercise straight correlate with changes in Amazon’s driver onboarding technique, leading to variable wait occasions for potential candidates.
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Accelerated Onboarding Throughout Peak Seasons
Throughout peak seasons, comparable to the vacation interval spanning from November to December, and promotional occasions like Prime Day, Amazon experiences a surge in supply quantity. To fulfill this elevated demand, the corporate usually expedites the onboarding course of for brand spanking new Flex drivers. This acceleration entails streamlining background checks, decreasing software evaluate occasions, and growing the provision of orientation classes. Consequently, candidates who apply throughout these intervals could encounter considerably shorter ready occasions in comparison with these making use of throughout slower months. For instance, new drivers could be authorised inside days throughout peak seasons, whereas the identical course of may take weeks or months throughout off-peak intervals.
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Software Backlogs Following Peak Seasons
Conversely, instantly following intervals of excessive demand, Amazon could quickly decelerate or halt the onboarding of recent drivers. This adjustment goals to steadiness the driving force pool with the lowered supply quantity. A backlog of functions can accumulate throughout peak seasons, leading to prolonged ready occasions for many who apply shortly after the demand subsides. This delay is attributed to the corporate prioritizing the activation of drivers throughout the high-demand interval and subsequently adjusting to a decrease operational tempo.
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Regional Variations in Demand Response
The impression of seasonal demand spikes on software wait occasions varies regionally. City areas with denser populations and better e-commerce adoption charges usually expertise extra pronounced fluctuations in demand. In these areas, the acceleration and subsequent deceleration of driver onboarding could also be extra drastic in comparison with much less densely populated areas with decrease e-commerce penetration. Consequently, candidates in city facilities ought to anticipate extra variability in wait occasions relying on the precise time of yr. Amazon tailors its driver recruitment methods to align with the precise wants of every geographic space.
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Influence on Incentive Applications and Driver Earnings
Elevated demand throughout peak seasons usually interprets to extra frequent and profitable supply blocks, incentivizing current Flex drivers to work extra hours. Concurrently, Amazon could provide larger pay charges or bonuses to draw new drivers throughout these intervals. Nevertheless, elevated competitors for accessible blocks also can come up because of the expanded driver pool. As demand normalizes following peak seasons, block availability and incentive applications could lower, probably impacting driver earnings and contributing to Amazon’s resolution to decelerate new driver onboarding.
The interaction between seasonal demand and the length of the Amazon Flex software course of is multifaceted. Candidates must be conscious that ready occasions aren’t static and are topic to fluctuations primarily based on the present calls for of the supply community. Monitoring regional developments and understanding Amazon’s operational changes throughout totally different intervals may also help potential drivers anticipate and navigate the onboarding course of extra successfully. These variations underscore the significance of flexibility and adaptableness for people looking for to take part within the Amazon Flex program.
5. Regional driver wants
Regional driver wants straight affect the timeframe related to Amazon Flex software processing. Areas exhibiting a deficit of energetic Flex drivers usually expertise accelerated onboarding procedures. Conversely, areas characterised by an satisfactory or surplus driver pool usually witness prolonged ready intervals. This correlation stems from Amazon’s operational technique of dynamically adjusting its driver recruitment efforts to align with fluctuating supply calls for throughout numerous geographic areas. The algorithm considers elements comparable to inhabitants density, e-commerce penetration, and the provision of other supply providers to find out regional staffing necessities. For instance, a newly established Amazon distribution heart in a rural space could set off an aggressive driver recruitment marketing campaign, considerably decreasing software wait occasions in that particular area. Conversely, a saturated market with established supply infrastructure is prone to impose an extended ready interval, successfully putting new functions on maintain till driver attrition or elevated demand justifies additional growth of the driving force pool.
Understanding regional driver wants gives potential candidates with useful insights into anticipated wait occasions. By monitoring publicly accessible info, comparable to information stories regarding Amazon’s growth plans or native discussion board discussions amongst current Flex drivers, candidates can gauge the present demand dynamics inside their particular geographic space. Moreover, Amazon often gives localized updates or communicates changes in software processing timelines primarily based on regional wants. Actively looking for out this info can allow candidates to make knowledgeable selections concerning their software timeline and discover various revenue alternatives whereas awaiting approval. The sensible significance of comprehending these dynamics lies in mitigating frustration and optimizing time administration for people pursuing alternatives inside the Amazon Flex program. In areas with identified surpluses of drivers, candidates may take into account prioritizing various gig economic system platforms or delaying their software till regional wants shift.
In abstract, regional driver wants represent a vital determinant of the Amazon Flex software wait time. This relationship displays Amazon’s data-driven method to optimizing its supply community by dynamically adjusting driver recruitment primarily based on localized demand. Potential candidates can leverage an understanding of those regional variations to raised anticipate onboarding timelines, handle expectations, and make knowledgeable selections regarding their participation within the Amazon Flex program. The problem lies in accessing correct and up-to-date info concerning regional driver wants, requiring candidates to actively monitor native developments and adapt their methods accordingly.
6. Car eligibility checks
The verification of car eligibility varieties an integral element of the Amazon Flex software course of, straight influencing the general timeframe for approval. Incomplete or inaccurate car info submissions invariably result in processing delays, extending the interval candidates watch for activation.
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Doc Submission Accuracy
Discrepancies between the car info supplied throughout registration and supporting documentation, comparable to car registration or insurance coverage certificates, set off handbook evaluate processes. As an example, an incorrect car identification quantity (VIN) or mismatched identify on the insurance coverage coverage necessitates extra verification steps, including days or perhaps weeks to the applying timeline. Failure to add legible and legitimate documentation exacerbates these delays.
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Compliance with Car Necessities
Amazon Flex imposes particular car necessities primarily based on supply sort and placement. Automobiles failing to satisfy these standards, comparable to these which can be too small for sure supply blocks or lack the mandatory insurance coverage protection, are topic to rejection. This rejection initiates a request for up to date car info or proof of compliance, additional extending the wait. If an applicant initially submits particulars for a car deemed ineligible and subsequently gives info for a compliant car, the verification course of restarts.
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Background Checks on Car Historical past
Whereas primarily centered on the applicant’s private background, Amazon might also conduct cursory checks on the car’s historical past. Data suggesting a car is stolen, salvaged, or in any other case compromised can set off an in-depth investigation, considerably prolonging the applying course of. The invention of unreported accidents or excellent remembers might also immediate extra scrutiny, delaying approval till the problems are resolved.
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Influence of Car Modifications Publish-Software
If an applicant modifications their car throughout the software course of with out notifying Amazon, it could result in confusion and delays. The up to date car info necessitates a brand new spherical of eligibility checks, successfully resetting the timeline. Candidates should promptly replace their software with any modifications to their registered car to keep away from problems and guarantee well timed processing.
In abstract, the meticulous completion of car eligibility checks is paramount for expediting the Amazon Flex software course of. Errors, omissions, or non-compliance with car necessities invariably result in delays. Potential drivers are suggested to rigorously evaluate and confirm all car info previous to submission, making certain alignment with Amazon’s pointers and offering correct supporting documentation. By proactively addressing potential points associated to car eligibility, candidates can considerably scale back their ready interval and facilitate a smoother onboarding expertise.
7. Amazon’s inside evaluate
Amazon’s inside evaluate processes considerably affect the general length candidates expertise whereas awaiting approval to develop into Flex drivers. These inside procedures, although usually opaque to exterior observers, are important for making certain compliance, safety, and operational effectivity inside the Amazon Flex ecosystem. The time required for these inside evaluations straight contributes to the variability noticed in software wait occasions.
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Compliance Verification
Amazon’s inside evaluate consists of rigorous verification of submitted paperwork and data towards regulatory necessities and inside insurance policies. This encompasses validating driver’s licenses, insurance coverage protection, and background test outcomes. Any discrepancies or inconsistencies detected throughout this stage necessitate additional investigation, thereby extending the applying processing time. For instance, if an applicant’s driver’s license shows restrictions not permitted below Amazon Flex insurance policies, the applying will likely be positioned on maintain pending clarification or decision.
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Fraud Detection and Prevention
An important facet of the inner evaluate is the identification and prevention of fraudulent functions. Amazon employs subtle algorithms and handbook evaluate processes to detect probably fraudulent info, comparable to faux identities, fictitious addresses, or fabricated car particulars. Suspicious functions are flagged for enhanced scrutiny, involving cross-referencing knowledge with exterior databases and probably requiring extra documentation from the applicant. This anti-fraudulent measure, whereas vital for safeguarding the platform, inevitably provides to the general wait time for respectable candidates.
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Capability Planning and Driver Allocation
Amazon’s inside evaluate integrates with its capability planning and driver allocation techniques. Earlier than approving a brand new driver software, Amazon assesses the present driver provide inside the applicant’s designated service space. If the world is already saturated with Flex drivers, the applying could also be positioned on maintain till demand will increase or current drivers depart the platform. This strategic allocation of assets ensures a balanced provide and demand dynamic, stopping over-saturation and sustaining earnings alternatives for energetic drivers. Nevertheless, this method can result in extended ready intervals for candidates in sure areas.
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Algorithmic Evaluation and Threat Scoring
Amazon makes use of proprietary algorithms to evaluate the danger profile of every applicant primarily based on a large number of information factors. These algorithms assign a threat rating to every software, contemplating elements comparable to previous supply efficiency (if relevant), prison historical past, and geographic location. Functions with larger threat scores could endure extra intensive evaluate processes, probably involving handbook verification and extra background checks. This risk-based evaluation is designed to attenuate potential liabilities and make sure the security and safety of the Amazon Flex community.
The multifaceted nature of Amazon’s inside evaluate processes straight impacts the time candidates spend awaiting approval. Whereas these procedures are important for sustaining operational integrity, stopping fraud, and making certain compliance, they contribute to the variability and, at occasions, the size of the applying wait time. Understanding these inside mechanisms may also help potential drivers handle their expectations and recognize the complexities concerned in becoming a member of the Amazon Flex platform. These techniques and their implications clarify key parts of “how lengthy is the watch for amazon flex.”
8. Account activation delays
Account activation delays signify the ultimate, and sometimes most irritating, section contributing to the general length candidates expertise whereas ready for Amazon Flex approval. Even after an software is ostensibly authorised, technical or administrative hurdles can impede the precise activation of a driver’s account, extending the perceived wait time. These delays, whereas seemingly minor, can considerably impression applicant expectations and monetary planning.
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Technical Glitches in System Integration
The mixing of varied techniques, together with background test outcomes, fee info, and driver profile particulars, is essential for profitable account activation. Technical glitches inside these techniques can disrupt the method, resulting in delays. For instance, a failure to correctly synchronize fee info could stop an account from being absolutely activated, requiring handbook intervention from Amazon help employees. The sort of challenge is commonly invisible to the applicant, compounding frustration.
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Administrative Processing Backlogs
Even when automated techniques perform appropriately, administrative backlogs can happen inside Amazon’s inside groups. Excessive volumes of recent driver functions, notably throughout peak seasons, can overwhelm help employees accountable for ultimate account verification and activation. These backlogs translate into longer wait occasions, as accounts are processed on a first-come, first-served foundation. The shortage of transparency concerning the queue size additional exacerbates applicant nervousness.
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Communication Lags and Help Response Instances
In circumstances of account activation delays, efficient communication between Amazon and the applicant is important. Nevertheless, communication lags and gradual response occasions from Amazon’s help channels can lengthen the ready interval. If an applicant encounters an activation challenge and seeks help, delays in receiving a well timed and informative response can impede decision and prolong the general timeframe. The absence of proactive communication from Amazon can depart candidates feeling uninformed and unsure concerning the standing of their account.
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Geographic Restrictions and Zone Configuration
Amazon Flex operates inside outlined geographic zones. Account activation could also be delayed if there are discrepancies between the applicant’s registered deal with and the designated service areas. Moreover, configuring the account to function inside particular supply zones requires inside processing, which might expertise bottlenecks. These geographic restrictions, whereas mandatory for logistical effectivity, can inadvertently contribute to account activation delays, notably for candidates residing close to zone boundaries.
In conclusion, account activation delays, stemming from technical glitches, administrative backlogs, communication inefficiencies, and geographic restrictions, signify a tangible and sometimes unpredictable element of “how lengthy is the watch for amazon flex”. These delays, whereas probably shorter in length in comparison with different phases of the applying course of, could be notably irritating for candidates who’ve already acquired approval and are keen to start incomes. Clearer communication from Amazon concerning potential activation timelines and proactive decision of technical points can mitigate applicant dissatisfaction and improve the general onboarding expertise.
Ceaselessly Requested Questions
This part addresses frequent inquiries concerning the timeframe related to the Amazon Flex software course of. Understanding the variables influencing this era is essential for potential drivers.
Query 1: What elements primarily decide the length of the Amazon Flex software wait?
A number of elements affect the applying timeline, together with regional driver demand, software completeness, background test processing effectivity, car eligibility, and Amazon’s inside evaluate procedures. Fluctuations in seasonal demand and the accuracy of submitted info additionally contribute to variations in wait occasions.
Query 2: Is there a assured timeframe for Amazon Flex software approval?
No, Amazon doesn’t present a assured approval timeframe. The appliance course of is topic to variables that may considerably impression the length. Candidates ought to anticipate potential delays and plan accordingly.
Query 3: How does driver saturation in a particular location have an effect on software processing time?
Areas with a excessive density of current Amazon Flex drivers usually expertise longer software wait occasions. This displays a lowered instant want for added drivers and Amazon’s efforts to handle driver provide relative to supply demand.
Query 4: What steps can candidates take to probably expedite the applying course of?
Candidates can reduce delays by making certain the applying is full and correct, promptly responding to any requests for added info, and verifying the eligibility of their car in line with Amazon’s necessities. Monitoring communication channels for updates can be really helpful.
Query 5: What’s the position of the background test in figuring out the applying timeframe?
The background test represents a vital stage of the applying course of, and its length can differ considerably primarily based on particular person circumstances and the effectivity of the third-party vendor conducting the test. A clear report and immediate submission of required documentation can contribute to sooner processing.
Query 6: Can seasonal demand spikes affect the velocity of software processing?
Sure, elevated supply demand throughout peak seasons like the vacations can result in accelerated onboarding processes, probably decreasing software wait occasions. Conversely, software backlogs following peak seasons could end in longer ready intervals.
Understanding these key elements gives useful insights into the potential variability of the Amazon Flex software course of. Potential drivers ought to handle their expectations and plan accordingly.
The next part will present steerage on various revenue alternatives to discover whereas awaiting Amazon Flex software approval.
Navigating the Amazon Flex Software Course of
Potential Amazon Flex drivers can undertake particular methods to probably mitigate delays throughout the software course of. These suggestions deal with maximizing software accuracy and proactively addressing potential impediments.
Tip 1: Confirm Software Completeness Previous to Submission
Totally evaluate all entered info earlier than submitting the applying. Guarantee all fields are precisely accomplished, and that no knowledge is omitted. Incomplete functions invariably set off processing delays as Amazon is compelled to hunt extra info from the applicant.
Tip 2: Proactively Deal with Potential Background Test Points
People with prior authorized points or advanced residential histories ought to anticipate potential delays within the background test course of. Gathering related documentation, comparable to court docket data or proof of residency, beforehand can expedite the verification course of.
Tip 3: Affirm Car Eligibility and Documentation Accuracy
Confirm that the car meets Amazon’s eligibility necessities for the supposed supply sort. Be certain that all vehicle-related documentation, together with registration and insurance coverage, is present and precisely displays the car info supplied within the software.
Tip 4: Monitor Communication Channels Usually
Test the e-mail deal with related to the Amazon Flex software steadily for updates or requests for added info from Amazon. Promptly reply to any inquiries to keep away from pointless delays.
Tip 5: Handle Expectations Relating to Seasonal Demand Fluctuations
Acknowledge that software processing occasions could differ relying on seasonal demand spikes. Throughout peak seasons, anticipate potential delays as a consequence of elevated software quantity. Conversely, software processing could also be sooner throughout off-peak intervals.
Adhering to those suggestions enhances the probability of a streamlined software course of. Whereas a swift approval just isn’t assured, diligence in making ready and submitting an entire and correct software can considerably scale back the potential for delays.
The next part gives particulars on various revenue choices for potential drivers awaiting Amazon Flex software approval, enabling them to bridge any potential monetary hole.
Conclusion
The previous evaluation has explored numerous aspects influencing “how lengthy is the watch for amazon flex,” highlighting that the length just isn’t static. Software completeness, regional demand, background test processing, and Amazon’s inside procedures contribute to the timeline. Recognizing these variables empowers potential drivers to handle their expectations and strategize accordingly.
Whereas a precise timeframe for software approval stays elusive, a proactive method and a radical understanding of the contributing elements can enhance the applicant’s expertise. Constantly monitoring software standing and being ready to offer extra info, when requested, signify accountable steps. Aspiring Amazon Flex drivers are suggested to embrace persistence, plan accordingly, and discover various alternatives throughout the software course of, which is vital on how lengthy is the watch for amazon flex and onboarding.
