For years, financial institutions, retailers (both online and brick & mortar), and other customer facing industries have relied on interconnected technology systems to improve the health and direction of their business.  From interconnecting things like CRM, HRM, ERP and other core management systems, they have combined their data to create models that produce remarkable insights.  With almost split second timing, banks compare customer interaction data with financial analysis to offer products and upgrades.  Online retailers meld social media data with customer buying patterns to offer the right discount at just the right time.  And with this power, they have directly and positively impacted productivity and profitability by leaps and bounds.  In addition to the aforementioned gains, they have also set themselves up for the coveted advancements of Artificial Intelligence quickly arriving on the horizon, and those benefits hold the promise of being even more transformational.

This level of data mining and analysis has been something almost unattainable by companies in the world we call Physical Operations.  Companies whose productivity relies on things that can’t be easily tracked or traced by computer based footprints, or real-time data models.  Those operating in a world of major capital equipment inventories and focused on people movements and productivity out of the view of a software model.  When you think of these organizations in industries like construction, distribution, transportation and the like, their operations tend to be broken into two distinct towers:  Inside the building and Outside the building.  Inside the Building, being pretty straight forward, matches most any other non-physical industry operation with their application usage and data tracking.  Yet, Outside the Building data management encompassing things like vehicles, equipment (static and non-static) as well as a host of other parts and pieces that don’t connect to a conventional network or have data processors managing and monitoring their function tends to be for more complex.

Until recently, Outside the Building based industries relied heavily on after-the-fact analysis based in spreadsheets and reports for the majority of their risk mitigation and profit enhancing analysis.  And while it has worked, it has created a lag in solid communication streams up to the CxO level to allow for fast, or even real-time adjustment in the field.  Take for instance a company in the field of distribution.  Being able to quickly track and calculate the definite cost of delivery, and allowing for managers and workers in the field to make intelligent decisions based on empirical data has been hard to easily come by.  And all of this has been mainly due to not having real-time systems recording movement from the warehouse to the end delivery point with pin-point accuracy.

Fortunately, with the market emergence of products like Samsara and Motive, companies now have the ability to track Outside the Building in a very valuable and discreet manner.  Success stories from both organizations have shown the ability to manage costs, reduce downtime and improve customer satisfaction.  When tied to other Inside the Building tools can drive profit enhancement through tax reduction, capital equipment right-sizing and other benefits.

And this is the mission and goal of BiiOT: To integrate data in the office with data in the field to provide transformational Profit Enhancing Insights (P.E.I) through advanced technology.