THREE CRITICAL ELEMENTS TO ALLOW DISRUPTION — ONE
Most independent-providers, being under a fixed time and output potential, typically operate with a physically-derived earning limitation. Even while retaining monopolistic control, this limitation is their own production capacity. Efficiency then indicates the ability to maximize achieved returns. To be getting ‘the most’ from said production-capacity.
Like sunk promotional costs, commissions to middle-men or advertisers or payments to similar organizations, transactional service providers justify their role and expense when independent-providers’ production efficiency could be lessened from a services’ absence. In light of enhanced global connectivity and varied digital advancements, these previously functional systems and support-services should not now simply be equated to optimized methodologies. Airbnb (landlords possibly earning up to 30% more than standard rental systems), Uber (democratizing earning access within niche industries yet participants typically achieving comparably below market average take-home), and Amazon (distributing centralized retail and delivery to last-mile capacities), have set the stage.
In order for the TOF® Biosphere to disrupt previously functional yet ultimately now far more costly independent-provider platforms, three comparative fundamentals require optimization. These are i) user exposure, ii) choice of transaction and, iii) selection of monetization.
i) HYPER-FOCUSED LISTINGS
Much concerning the Uber-driver matching algorithm, equitable search-result exposure and work allocation can be debated. But the map-to-niche service model exemplifies both a core ‘exposure’ consideration for independent-providers when using a booking or ‘gig’ platform, as well as highlights other gig-provider platforms’ current limitations.
- A pre-requisite for host (the company), controlled and openly possible revocation of users’ role-defined participation;
- Privacy of exchange type, service and content are purposefully minimized in light of the stipulation that hosts only permit pre-defined, centralized transactions;
- A maximizing of consumer or end-user purchasing volumes requires clear niche divisions, to do and be known to do one function efficiently. This inherently subsumes abilities for service and content variation;
- Accommodating variation in such platform-hosted, gig-niche service requires additional segmentation, bringing with it, potential losses in user-participant exposure. For example, as with the already set extensions into Uber-Eats (food delivery), or Airbnb Experiences (tourism service bookings), or Amazon Prime (on-demand and media streaming).
TOF® BIOSPHERE, TARGETED CROSS-EXPOSURE
Only when providers are able to confirm more autonomous abilities to achieve consistent demand (to maintain or increase their efficiencies), can they choose to pay less, in costs or commissions, and feasibly use alternate platforms thereby increasing their yields through output and/or achieve reductions in overheads.
As such, the TOF® Biosphere has been built on an Impartial-Host Solution (IHS). The IHS expands on market established cross-functional map and geo-location elements while repositioning transactions to an almost agnostic scope of service definitions, concurrently setting DLT enhanced, private-encryption of tracked engagement and exchange transactions. Practically, this translates into:
- TOF® retains adherence to platform conduct requirements (legality), and AML / KYC requirements (PII during transaction authenticity), with no loss of user privacy even on global-map niche-service listing. Due to users’ personal encryption and private contract capacities, TOF® accommodations any yet to be registered and secured, privately user-defined offering types;
- AI, ML, and Natural-Language-Understanding (NLU), form a system that TOF® terms Natural-Language-Concierge (NLC). This works to accommodate users’ self-organizing, independently tailored discovery and trusted engagement-exchange capacity. NLC allows users to explore global providers while personally setting conditions and terms of use.
