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Cut delivery costs by 40% using AI-driven recurring orders
A SaaS platform for water delivery businesses that automates recurring orders, demand forecasting, and customer reordering through AI.
By reducing manual operations and optimizing delivery frequency, companies lower logistics costs while improving customer retention and order predictability.


Water delivery is a simple product with a complex unit economy. Orders are repetitive, margins are thin, and logistics are operationally heavy.
Vodacom was created to solve one core problem: to make repeat orders as fast and cost-efficient as possible for the business.
We built a mobile platform where an AI assistant handles the majority of repeat orders, while the application remains a reliable fallback for all other scenarios.
Before launching the product, the business faced typical market constraints:
Repeat orders were processed manually, making them expensive and difficult to scale.
Manual data entry led to frequent mistakes in water quantities and delivery execution.
The business relied heavily on call-center operators, increasing costs as demand grew.
Lack of demand forecasting made route planning and capacity management inefficient.

The turning point
We discovered a simple but critical fact: more than 70 percent of orders are repeated with little to no changes.
Users don't need to "choose." They need to "repeat." The problem wasn't the interface - it was that the business was manually servicing the same scenario over and over again.
Recurring orders are handled automatically by AI, eliminating manual processing and reducing operational costs.
Predictive analytics enable accurate planning of routes, inventory, and delivery schedules.
Delivery routes and workloads are dynamically optimized based on real consumption patterns.
Most repeat scenarios no longer require human involvement, allowing the business to scale without growing headcount.

The system identifies repeat ordering patterns and proactively suggests or executes reorders.
Delivery routes are optimized automatically based on order density and geography.
Customers and operations teams track order progress with live status updates.
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