During my Store Ops rotation, I joined a team piloting a new feature for Drive Up-Pick Up (DUPU) that allowed guests to opt-out of plastic bags by using their own tote.
Walmart had launched a similar feature six months earlier, meaning we were behind our competitors in offering a more sustainable option.
Our initial pilot converted 25% of hold space to support the Bag Opt Out feature.
Early data revealed that stores in areas with bag-fee legislation had a much higher adoption rate (35%) compared to those without (2%), indicating a need for better optimization.
My task was to optimize the hold space installations to reduce material, shipping, and labor costs while ensuring efficient use of general merchandise hold space across stores.
I hypothesized that a segmented approach based on store format, legislation type, order profiles, and adoption rates could yield better results.
I observed the DUPU process at a store, understanding how team members used the app, stored items, and interacted with guests.
I collaborated with the data team to develop a dashboard for tracking KPIs and guest adoption trends.
Using POS data, I conducted an in-depth analysis to identify correlations and provide precise recommendations for optimizing hold space conversion.
Hold space optimization reduced capital investment for bag opt out 34%.
Resulting in $800k savings for materials, shipping, and labor costs.
Allowed saved money to be re-invested in other Target Forward sustainability initiatives.