Araujo Drugstore is a major drugstore chain in Minas Gerais, Brazil, with over 250 stores, making it the largest in its sector in the state. In addition to medications, Araujo offers customers a range of non-pharmaceutical convenience products, following the drugstore model. As a retail business, it must prepare its inventory and distribution to stores according to seasonal and promotional needs.
Each store has a predefined quantity of products based on their specific scenario. However, during promotions, changes in central inventory, partnerships with brands, or seasonal demand, analysts from the Product Demand Management team must conduct studies to determine a customized quantity of specific items, a process they call ad-hoc product purchase. This requires individualized attention for each store, and team members split tasks to manage the high volume of stores and products.
The discovery process began with shadowing sessions to observe the analysts' work, understand their workflow, and identify tools and challenges. Key issues identified include:
DAY 1

Storytelling
Personas
DAY 2

Problem Framing
How Might We
DAY 3

Product Goals
User Journey
DAY 4

Co-creation session
Screen prototyping
Validation
Using problem-framing techniques, we defined the following challenge:
Adjust the ad-hoc product purchase process and create a customizable and integrated tool to control in-store inventory.
How might we gather accurate, useful information?
How might we build an efficient ad-hoc product purchase platform?
How might we improve integration and communication across departments?
As one of the people responsible for the product strategy, I connected the development team with Araujo team, helping to prioritize features based on effort and delivery value. At the end of this process we had definied the main parts of the product that would serve as a goal to the team.
Visibility into overlapping ad-hoc product purchase actions for each product.
Deadlines, in-store volume data, and distribution dates gathered in one place.
Reduced repetitive work by automating calculations that had well-defined rules. System-suggested actions.
Customizable rules for calculations, easily adjustable within the platform.
Software used: