This paper takes a plunge at explaining a new method that increases the possibility of receiving in-store recommendations automatically in a personalized manner through a mobile transaction agent, referred as mPOS. To establish the fact that mPOS can be used effectively as a recommendation agent, we have relied on a modified version of the well-known Apriori data-mining algorithm that takes into account transaction logs of an mPOS agent.