AuditIQ

##Inspiration Retail and quick-commerce operations still rely on fragmented audit practices—WhatsApp images, Excel logs, and delayed supervisor visits. The lack of standard SOPs, poor visibility, and inconsistent compliance lead to costly mistakes, poor customer experiences, and wasted effort. We wanted to build a scalable, tech-first solution that brings trust, speed, and standardization to on-ground execution.

##What it does AuditIQ automates daily SOP/compliance checklist for audits using AI and image validation. Associates receive dynamic checklists based on their role or location type (store, hub, FC). They click live photo/video proof of task completion (e.g., stocked shelves, clean floors). AuditIQ’s verification engine scores compliance, flags issues, and updates real-time dashboards. Managers receive live scorecards, alerts, and trends to act fast and close feedback loops.

##How we built it Frontend: Mobile-first app for checklist delivery and image capture Backend: Microservices architecture to handle task distribution, scoring, and storage AI Layer: Lightweight LLM + vision model combo for image validation (quality, relevance, SOP match) Dashboards: Custom role-based scorecards for managers and ops leads Infra: Cost-effective stack avoiding GPU-heavy CNNs; deployed via cloud functions and scalable APIs

##Challenges we ran into Standardizing SOPs across formats and categories with inconsistent starting points Avoiding heavy infra like CNNs while maintaining accuracy in visual checks Getting teams to adopt a new workflow (image-based task closure felt “extra” at first) Designing fallback flows where AI confidence was low, and human intervention was needed

##Accomplishments that we're proud of Built a fully functional audit engine without relying on GPU-heavy infra Achieved over 60% automation in visual task validation within 3 weeks Reduced manual audits by 50%, freeing up ops bandwidth Created a single source of truth for field execution across all formats Strong adoption from pilot users, with high daily task closure rates

##What we learned Ground ops need structure more than software—SOP clarity is half the battle Associates engage more when feedback is instant and tasks feel “verified” AI doesn’t need to be perfect—95% confidence + fallback to human review is a practical sweet spot Adoption skyrockets when managers get real-time visibility and actionable alerts

##What's next for AuditIQ Add video validation for motion-based SOPs (e.g., cleaning processes) Integrate training nudges based on failed tasks for on-the-job learning Expand to vendor audits (e.g., freshness check at inbound for FnV) Launch auto-escalation rules and gamified scorecards for frontline teams Explore integrations with HRMS and task scheduling tools

Built With

• bolt