Sapot Systems built APIs for Tesla's Agent Python platform to support dependent pricing services and lexicon generation using Python, GraphQL, Django, and Django REST Framework — improving pricing accuracy, reducing computation time, and driving data consistency across more than five downstream systems.
Pricing APIs and lexicon generation across dependent downstream systems — accuracy and consistency at scale.
Sapot Systems built APIs for Tesla’s Agent Python platform to support dependent pricing services and lexicon generation using Python, GraphQL, Django, and Django REST Framework — improving pricing accuracy, reducing computation time, and driving data consistency across more than five downstream systems.
Engagement details: Team: 3 engineers · Duration: 14 months · Environment: Enterprise pricing platform
What we delivered:
- Python/GraphQL/Django API architecture for pricing services
- Lexicon generation services supporting downstream dependencies
- Data consistency improvements across 5+ integrated systems
- Pricing computation performance optimization
Results:
22%improvement in pricing accuracy across dependent services- Pricing computation time reduced from
12 minutes → ~90 seconds - Improved data consistency across
5+downstream systems
