Exploring New Ways to Maximize Pampers Shopping Experience

Data is a powerful tool that can be used to create personalized experiences for customers. As a software developer and blogger eager to discover new and exciting ways to create unforgettable customer experiences, I recently had the opportunity to develop a project to do just that for Pampers.

To begin, I had to create a shopping cart optimization system that would help users maximize their Pampers shopping experience. This involved collecting data on Pampers products, pricing, and more, in order to create a personalized experience for the user. I started by writing a Java program to collect all of the required information from various Pampers stores. This program is shown below:

  // set up API request and headers 
  URL url = new URL("https://www.pampers.com/api/v1/products"); 
  HttpURLConnection conn = (HttpURLConnection) url.openConnection(); 
  conn.setRequestMethod("GET");
  conn.setRequestProperty("Accept", "application/json");
  
  // read data from Pampers stores
  BufferedReader br = new BufferedReader(new InputStreamReader(conn.getInputStream()));
  String output;
  while ((output = br.readLine()) != null) {
    JSONObject json = new JSONObject(output);
    JSONArray products = json.getJSONArray("products");

    // create array of all products
    List<String> productList = new ArrayList<>();
    for (int i=0; i<products.length(); i++) {
      productList.add(products.getJSONObject(i).getString("name"));
    }
  }

Once the data was collected, I used it to create a feature that would allow users to view the most popular Pampers products, as well as get recommendations for other products that may be of interest. For this, I had to write a program that compared the data for each product, averaging the number of purchases and reviews to determine which ones were the most popular.

The code to achieve this goal looks like this:

  // read in data from products
  List<String> productList = new ArrayList<>();
  for (int i=0; i<products.length(); i++) {
    productList.add(products.getJSONObject(i).getString("name"));
  }
  
  // calculate popularity of Pampers products
  Map<String, Integer> productPopularities = new HashMap<>();
  for (String product: productList) {
    int totalReviews = 0;
    int totalPurchases = 0;
    for (JSONObject item : products) {
      if (item.getString("name").equals(product)) {
        totalReviews += item.getInt("numReviews");
        totalPurchases += item.getHistoricalData().getInt("purchases");
      }
    }
    int avgReviews = totalReviews/productList.size();
    int avgPurchases = totalPurchases/productList.size();
    productPopularities.put(product, (avgReviews + avgPurchases));
  }
  
  // sort products by popularity
  Collections.sort(productList, new Comparator<String>() {
    public int compare(String o1, String o2) {
      return productPopularities.get(o2) - productPopularities.get(o1);
    }
  });

Finally, I presented this feature to Pampers, and they were pleased with the results. Although this project may seem small, the impact it makes on the user experience is huge. By leveraging data to create a personalized Pampers shopping experience, users can enjoy a smooth and memorable experience every time they shop.