The Picker mobile app assists the picker to pick an item from a rack in the warehouse and record any problems or issues faced while picking.

My Role

  • Lead cross functional discussions with the CEO and the top business leadership and present various design solutions, in order to arrive at the best UX for the user in a timely fashion.

  • Also responsible for designing the user experience for the mobile app used by the pickers for picking items from the racks used in the picking process.

  • Process included hand drawn sketches, user interviews, system flows, user flows, wireframes, high fidelity mock ups and prototypes using Figma.


  • Reduced the average pick time from 3 to 1 hour and 30 mins.

  • Reduction in pick errors thereby improving overall picking efficiency.

  • Improved daily working conditions and reduced stress for the picker.

Picker Mobile App Interface

The existing process involved working with a pen and paper process where the pick lists are printed on paper handed to a picker by the pick manager.

Pick Managers assign

tasks to pickers

Pickers Pick Items

Picker packs the items,

deposits in the loading area

The paper based pick list informs the picker what to pick and where to pick from. The picker would reach the appropriate location , pick the boxes and mark picks completed using a pen and note down any exceptions on the picklist itself. We wanted to make this process of managing picklists manually easier for the pickers.

Inorder to address the right problems we designed our process around regular cycles of prototyping , face to face user interviews and warehouse visits.

Our starting point was was understanding the as-is process using which the pickers performed picking today.

The user interviews clearly told us that though the paper based process was familiar but as it was manual, it was time consuming and error prone for large picking orders.

The organisation was scaling up and the paper based process ended up adding stress to the picker’s daily tasks. Picking involved handling large pick lists, manually tracking picked items and noting exceptions, all in the midst of performing physically strenuous tasks. This was not ideal and reduced picking efficiency drastically.

Hence with the goal of creating a mechanism that allows the pickers to see tasks assigned to them and mark pick progress using barcode scanner we built a specialized mobile app , designed to run on rugged handheld devices.

Pick planner desktop web app

Picker Mobile App

“How much do I pick?

and from where ?”

In our interviews most of the users could just operate with these two questions answered and this is where we wanted to focus most of the users attention while looking at a card.

Testing with users showed us that picking was happening in low-light and low/no network areas.

Most of the picking was taking place in aisles which typically were low light areas and had many network blind spots . We accounted for these by designing with brighter colors, higher contrasts, larger touch areas and also allow them to pick items offline.

The cards had to, in a glance, convey what the status (short, nil, full, offline) of the pick was.

Various states of a picking item

Consolidating exceptions and prefilling values

We consolidated the exceptions into 3 categories r to make reporting and analysing the exceptions easier. The interface also adjusts itself depending on the number of boxes picked, automatically going into an exception reporting state if quantity is less.

Values like number of boxes picked are prefilled and kept as a editable textbox to aid the user if the number of boxes are large and needed to be filled in manually.

By digitizing the picking process, we acheived an overall reduction in pick time by 50% which resulted in better and less stressful work environments for the pickers.