Agriculture · Startups
Predicting crop health from a farmer’s photo with AI
Assystant built the AI model, the admin web platform and the farmer app behind AgriAI’s crop-health predictions. AgriAI was later acquired by Koppert Global.
Case studySaaS · Transport & logistics
From route optimisation to last-mile delivery management for Enroute
Assystant built Enroute’s route-optimisation SaaS, then re-engineered it into a real-time last-mile delivery platform without starting over.
Assystant · 100+ projects · 20+ countries · since 2014
About Enroute
Enroute is a US SaaS startup that set out to solve the vehicle routing problem (VRP) for transport and logistics companies and later expanded into last-mile delivery management.
The challenge
The vehicle routing problem is a classic logistics puzzle: finding the most efficient routes for a fleet serving many stops. Solving it for transport customers took strong algorithmic thinking and a reliable application to deliver it.
As Enroute matured, its focus moved from planning routes to running deliveries in real time, so the platform had to be re-engineered for live delivery operations. Enroute needed one partner who could build the original platform and later rebuild it for the broader use case.
What Assystant did
We built the first VRP platform with Xamarin, Angular and Django. When Enroute moved into last-mile delivery, we re-engineered it with React Native, React and Django, adding sockets for real-time updates.
- Built the original VRP-solving SaaS platform for transport companies
- Re-engineered it for last-mile delivery management
- Added real-time functionality with WebSockets
- Rebuilt the mobile experience in React Native
Technology
- Xamarin
- Angular
- Django
- React Native
- React.js
- WebSockets
Results
What changed for Enroute
- A working SaaS platform that solves the vehicle routing problem
- The same platform now runs last-mile delivery operations, built on the existing product rather than from scratch
- Real-time updates through socket integration
- A stronger position in transport and logistics SaaS
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- 100+ projects delivered since 2014
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What happens next
- 01We call you at a time that suits you
- 02We look at your workflow and find where AI pays off
- 03You get a proposal with the business case