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AI applied to real field-service decisions
Practical use cases for cleaning, repair, care and marketplace platforms — systems that match jobs to the right pro and keep customers informed.
AI Agents
Autonomous agents that complete multi-step service workflows, not just answer questions.
Voice AI
Hands-free interaction for the store, the warehouse and the phone line.
Computer Vision
Cameras that turn the physical and digital storefront into structured, usable data.
Predictive & Forecasting AI
Models that tell you what's about to happen to demand, supply and no-shows.
Generative AI & NLP
Language work that keeps customers informed and pros aligned, at marketplace scale.
Recommendation & Personalization
Every customer and pro gets the match and offer that fits their history.
Built on modern field-service technologies
Matching & Dispatch
Pricing & Demand
Data Platforms
Power BI
Looker
Snowflake
dbt
Ops Integration
Salesforce
ServiceTitan
SAP
CRM / Field App Integration
From pilot city to national rollout
Market Audit
Map booking, CRM, payments and field apps before building anything.
Pilot City
Prove matching or dispatch on one city before scaling nationally.
Ops Integration
Connect into provider apps and ops tools so AI shows up where teams already work.
Market Rollout
Scale the validated pilot across cities and service lines.
Continuous Tuning
Models are retrained as demand, seasons and provider supply change.
Engineering that understands field-service
We Think in Jobs Completed
Success is filled slots, fewer no-shows and higher utilization — not app downloads.
Built for Spiky Demand
Systems handle weather surges, weekend peaks and emergency call volumes without falling over.
Integrates With Field Ops Stacks
We connect into ServiceTitan, Salesforce and provider apps instead of asking you to rip them out.
Matching + Dispatch in One Team
The same engineers who build the matching model also ship the routing UX pros use on the job.
Outcomes, not just deliverables
Illustrative case studies — to be replaced with verified client results.
Reporting Cycle Cut From 3 Weeks to 2 Days
Partnered with a Power BI consultancy to model and ship a full reporting layer for an Australian retail supply business.
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Personalized Recommendation Engine for a Fashion Brand
Built a recommendation engine that personalizes homepage and product-page layout based on real browsing behavior.
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Shelf Monitoring Rollout Across 40 Stores
Rolled out camera-based shelf monitoring that flags empty sections and routes restocking tasks automatically.
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