Most POS still send data after midnight to a warehouse or distribution centre so that pick list can be generated for the next day. Same products can be picked for different outlets can be picked together this way.
In a competitive retail environment, and dense delivery locations like Singapore, it makes alot of sense to capture sales when it is made and update the warehouse/distribution centre when per-set parameters are breached, like sales per hour for a certain or group of SKUs. Transfer from lower sales outlets can also be activated this way.
Collecting this data also allows variability and consequently, safety stock to be more accurately calculated, compared to just consolidating sales once per day.
Greater granularity of sales information also helps on relate to staffing and other costs more closely. Steps can then be taken to vary cost more closely to sales.
With data collection getting cheaper. I imagine most POS machines should have time stamps on every transaction. Companies can choose to look at daily POS data first to see how their operations can cope. Going forward, looking at more granular data is the way to go.
This blog covers new pull supply chain responsiveness and logistics concepts for hubs with good air and sea-freight connectivity like Singapore. Big data and web analytics are creating new demand opportunities, and help operations meet growing global regulatory standards. Very often, my work also involves helping online retailers improve operations. Discussions spans from raw materials serialization, to manufacturing, marketing and sales. Visualization and analysis techniques are also shared.
Saturday, May 19, 2012
Point-Of-Sales (POS) For Responsive Supply Chains
Labels:
fast,
point of sales,
POS,
Responsive,
Small Business,
Supply Chain
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