In　this　research,　we　have　developed　a　prototype　that　aims　to　improve　the　weekly　shopping　experience　for　senior　citizens.　Our　system　tracks　the　movements　of　elderly　individuals,　eliminating　the　need　for　them　to　exert　physical　force　in　pushing　or　pulling　the　shopping　trolley.　To　achieve　this,　we　utilize　a　combination　of　sensors,　including　a　gyroscope　and　magnetometer,　to　estimate　the　user’s　walking　distance　and　direction.　Additionally,　we　employ　WiFi　fingerprinting　to　accurately　determine　the　user’s　position.　Our　experiments　have　yielded　satisfactory　results　in　terms　of　tracking　accuracy　and　the　overall　functionality　of　the　system.　By　addressing　the　specific　challenges　faced　by　senior　citizens　during　the　routine　and　essential　process　of　grocery　shopping,　our　smart　shopping　trolley　concept　seeks　to　enhance　their　experience.　Through　the　integration　of　tracking　technology　and　sensor-based　solutions,　we　aim　to　make　shopping　more　convenient　and　comfortable　for　elderly　individuals.　The　positive　outcomes　observed　in　our　experiments　validate　the　effectiveness　and　feasibility　of　this　approach　©　The　2024　International　Conference　on　Artificial　Life　and　Robotics　(ICAROB2024)