WITH THE ‘JUST-IN-TIME’ system dominating retail and warehousing across the world, it is imperative to profitability that any margin for error is reduced.
Just-in-Time inventory management requires a fine balance between keeping stock levels down to a minimum, reducing the need for floor space and storage, and anticipating demand.
If inventory levels are too low, it results in delays for clients and customers who will always source the most efficient suppliers who won’t let them down.
With competition so prevalent in the age of multinational online sellers, local businesses with more of a bricks and mortar presence need to deliver the best customer experience possible.
Conversely, dedicated online sellers that focus on large scale warehousing as their operational base with little or no real-world presence need to ensure they compete with the convenience and instantaneity of physical retail.
Aside from efficiency of dispatch, accurate forecast of demand is key to optimising warehousing operations. Too much stock leaves a range of storage and safety issues. Too little in certain inventory lines means too long a wait for clients and customers, who may go elsewhere for a given purchase – or possibly take all future business to a competitor if repeatedly disappointed.
While fit-for-purpose computer systems exist to assist warehouse managers in day-to-day logistical operations, most are fairly rigid and do not possess the ability to adapt to their unique environment and monitor it in real time to effect change.
And none of these existing systems effectively monitor how employees act and interact in the workplace in any meaningful way, largely limited to shift commencement and cessation.
Put simply, these systems lack any sort of intelligence, leaving management to make any sense of the data at hand and make changes long after detrimental occurrences and trends emerge.
Now, an Artificially Intelligent solution for warehousing and despatch has arrived.
Foresense Technologies is revolutionising commerce, government, agriculture and industry, making day-to-day processes and procedures smarter and more efficient.
At its core, the Foresense platform utilises proprietary AI to identify areas for improvement and guide commercially based decisions to increase operational KPIs and efficiencies with highly detailed, quantifiable behavioural data.
Foresense facilitates the collection of presence data and the analysis of how people act – and interact – on-site in real world settings to provide real-time analytics of traffic inside and around any physical location.
The technology can also be utilised to monitor stock as it moves across the warehouse floor – or in freight across the globe, accurately logging demand spikes and seasonal variations to better anticipate future demand.
In a similar way to how behavioural data is utilised online through careful analysis of aspects such as dwell time, session duration, and return visitations, the Foresense platform collects data through sensors integrating with smartphones, or on-person technology such as bracelets or smart ID cards.
Specialised sensors can also be placed with particular stock lines to determine exactly how they move across the warehouse floor in real-time – or their exact location at any given point anywhere in the world via 5G network technology.
Foresense allows accessibility in real time so highly-informed, proactive decisions can be executed as trends are actually emerging.