Kellogg’s identified a challenge in enabling rural schools to access their noodle products efficiently. Field agents were responsible for capturing orders during school visits, but the process was manual, error-prone, and difficult to manage in areas with poor connectivity. Kellogg’s needed a digital solution that could streamline ordering, payments, and delivery tracking for schools while providing visibility to their internal teams.
I worked as both Service Designer and Developer, responsible for designing the end-to-end experience, developing the ordering bot, and creating supporting dashboards for monitoring and analytics.
Field agents relied on manual order-taking during school visits.
Schools lacked a simple, reliable way to confirm orders and payments.
Delivery tracking was unclear, leading to inefficiencies.
Kellogg’s needed a central dashboard to manage orders, agents, schools, and drivers.
Low internet connectivity in rural areas made traditional apps unsuitable.
I designed and developed the Kellogg’s Ordering Bot, a lightweight, accessible tool optimized for low-connectivity environments.
Agent Authentication & Registration
Simple greeting (“hello”) starts the process.
Bot captures agent name and phone number.
Automatically registers new users or authenticates existing ones.
Ordering System
Agents select noodle varieties and quantities.
Orders are confirmed and a payment link is generated.
After payment, confirmation messages are sent.
Delivery Tracking
Orders assigned to drivers.
Real-time status updates sent to agents, drivers, and school reps via WhatsApp & SMS integration.
Dashboards
Custom-built dashboard for Kellogg’s to manage orders, agents, schools, and drivers.
Power BI dashboard for advanced reporting and insights.
Streamlined the ordering process for field agents and rural schools.
Enabled real-time visibility of orders and deliveries across multiple stakeholders.
Improved operational efficiency through automation and reduced manual errors.
Provided Kellogg’s management team with data-driven insights to optimize distribution and monitor agent performance.