Business Case Studies
Retail & Mall Security | USA & India
Real-Time AI Surveillance & Object Detection
A leading departmental store and mall operator with locations across the USA and India needed to modernize how its security and surveillance team monitors cameras, controls access points, and responds to incidents. Innowit AI was brought in to replace slow, multi-step detection methods with a single, real-time computer vision system built for high-traffic retail environments.
Challenges
- Real-time accuracy at scale: needed accurate object detection across many simultaneous camera feeds, not just static images.
- Legacy detection was too slow: existing approaches based on R-CNN-style pipelines couldn’t keep up with live video, making them impractical for time-sensitive security use cases.
- High data volume: large amounts of visual data needed to be processed quickly without bottlenecking the security operations center.
- Fragmented pipelines: multi-step detection pipelines made the system harder to maintain and slower to run than a single unified model.
- Precision requirements: intrusion detection and loss-prevention scenarios left little room for false negatives.
Solutions
- Implemented the YOLO (You Only Look Once) algorithm for single-pass, real-time object detection.
- Built a single-stage deep learning model in place of the older multi-step pipeline, cutting processing time significantly.
- Annotated the full training dataset with bounding boxes and class labels to support supervised training.
- Trained a CNN-based model that predicts object locations and class probabilities in a single forward pass.
- Delivered an end-to-end trainable pipeline, removing the need for separate region-proposal and classification stages.
Client Benefits
- Faster threat response: real-time detection means security teams are alerted as incidents happen, not minutes later.
- Improved accuracy: a unified CNN model reduced false detections compared to legacy multi-stage approaches.
- Lower operational overhead: a single model is easier to retrain, monitor, and maintain than a multi-step pipeline.
- Scalable across locations: the same detection model can be deployed across additional stores and camera networks with minimal rework.
- Stronger loss prevention: faster, more accurate intrusion and theft detection helps protect inventory and staff/customer safety.
Government / Law Enforcement | Turkey
AI Facial Recognition for Ankara Police — FaceMatcher (Ayonix)
Innowit AI supported the development of FaceMatcher, a facial recognition platform built for the Ankara Police Department in Turkey. The system uses face-matching algorithms to search and rank facial identities by similarity score, helping investigators identify persons of interest quickly across a database of millions of records.
Challenges
- Needed automatic video analysis and automatic image matching rather than manual review.
- Had to parse and search more than 7 million image records against the face-recognition SDK.
- Required short processing times paired with a high recognition rate — a difficult balance at this scale.
- Identification and authentication needed to rely purely on individual facial features.
- Different camera and recording hardware across sites had to be integrated into one system.
- Live camera and video feeds needed to be compared against the stored database in real time.
- Images were stored across a complex drive and sub-folder tree structure that had to be selectable and uploadable into the SDK
Solutions
- Built a Windows application for streamlined image upload into the system.
- Used a third-party DLL to extract frames directly from video feeds for comparison against the database.
- Created a single optimized binary file to store complete image byte data, dramatically speeding up read/write operations.
- Implemented percentage-based match scoring so investigators could rank and prioritize candidate results.
- Delivered face recognition capabilities including face extraction, head-rotation normalization, adaptive illumination normalization, automatic enrollment, and resilience to lighting changes, glasses, facial hair, and expression.
- Designed a client-server architecture: a recognition server running the face engine as a service, paired with a desktop client for enrollment, search, matching, and database edits.
Client Benefits
- Investigation speed: searching millions of records by face, name, birthday, country, or gender cut manual lookup time dramatically.
- High recognition accuracy: robust to lighting, glasses, facial hair, and expression changes, reducing missed matches.
- Batch processing: support for batch enrollments and identifications instead of one-by-one manual entry.
- Flexible access: unlimited client access and web-client support let multiple precincts/users work from the same database simultaneously.
- Operational confidence: a simplified UI and clear match-confirmation workflow reduced training time for new officers/operators.
Government / Law Enforcement | Turkey
Warehouse & Shipping Label Automation for a Leading Logistics Major
Innowit AI partnered with Delhivery, one of India’s largest logistics providers, to modernize warehouse operations end-to-end — from barcode scanning at intake to label printing at dispatch.
Challenges
- Manual and error-prone scanning processes were slowing down warehouse throughput across multiple hubs.
- No real-time validation or synchronization between handheld devices and the core WMS.
- Shipping label generation and printing were not integrated with the WMS, creating bottlenecks before dispatch.
- Needed standardized label templates that would work consistently across multiple carriers.
Solutions
- Deployed Datalogic handheld barcode scanners across multiple warehouse hubs.
- Built a custom Android application for real-time scanning, validation, and data sync back to the WMS.
- Enabled API-based synchronization between handheld devices and the warehouse management system.
- Integrated Zebra printers with the WMS via SDK to automate real-time label generation and printing.
- Standardized shipping label templates across carrier partners for consistent dispatch-readiness.
Client Benefits
- 98% scanning accuracy, virtually eliminating manual entry errors.
- 30% faster warehouse operations from intake to dispatch.
- Print time per parcel cut from 45 seconds to under 10 seconds, removing a major dispatch bottleneck.
- Multi-hub consistency: every warehouse runs on the same scanning and labeling workflow, simplifying training and support.
Logistics & E-Commerce | India
Real-Time Last-Mile Delivery Visibility
Innowit AI partnered with Flipkart to bring real-time visibility into last-mile delivery – replacing manual status updates with live, handheld-device-driven tracking.
Challenges
- Delivery status updates relied on manual processes, creating delays and visibility gaps for both operations teams and customers.
- Lack of real-time tracking made it hard to maintain operational transparency across the delivery network.
- Sync delays between field devices and back-end systems affected customer-facing delivery estimates.
Solutions
- Integrated handheld devices directly into the last-mile delivery workflow.
- Developed a mobile solution that updates delivery statuses in real time as drivers complete each stop.
- Enabled live status sync between the field and the central delivery system.
Client Benefits
- Real-time delivery updates, replacing delayed manual status checks.
- Higher customer satisfaction from accurate, live tracking information.
- Reduced manual data entry and fewer synchronization delays across the delivery network.
- Greater operational transparency for delivery managers monitoring fleet performance.
Retail & E-Commerce | India
Multi-Vendor Hypermarket Management Platform
A hypermarket operating with multiple independent sellers under one roof needed a way to manage different discount structures, reseller commissions, and inventory per seller — without losing centralized control. Innowit AI built a centralized management platform to solve it.
Challenges
- Multiple sellers operating inside a single hypermarket, each needing independent management.
- Different discount structures required for each seller, with no easy way to configure them centrally.
- Commission tracking for resellers had no automated system, creating manual reconciliation work.
- No centralized control system to oversee sellers, resellers, inventory, and sales together.
Solutions
- Developed a Centralized Management System supporting multi-seller and multi-reseller setup.
- Built a custom discount engine allowing seller-specific pricing, category-level offers, and seasonal promotions.
- Added a commission management module to automate reseller payouts.
- Delivered a single admin control panel covering inventory tracking per seller and consolidated sales reporting and analytics.
Client Benefits
- Transparent accounting across every seller and reseller relationship.
- Automated commission calculation, removing manual reconciliation.
- Unlimited seller onboarding without added administrative overhead.
- One unified portal for everything — sellers, resellers, discounts, and inventory — instead of juggling disconnected systems.
- Increased operational efficiency across the whole hypermarket ecosystem.
E-Commerce / Quick Commerce | India
Quick-Commerce Ecosystem for 10-Minute Delivery
Innowit AI built a complete quick-commerce platform for a client committing to 10-minute delivery — a model that leaves zero room for inventory mismatches or delivery delays.
Challenges
- Needed real-time inventory sync to avoid promising items that were out of stock.
- Order processing had to be near-instant to support a strict 10-minute delivery commitment.
- Delivery team tracking and assignment needed to happen automatically, not through manual dispatch.
- Discount and offer management needed to run alongside fast order processing without slowing it down.
Solutions
- Built a complete quick-commerce ecosystem including a customer mobile app, admin dashboard, inventory management system, and delivery boy app.
- Implemented real-time order assignment to automatically route orders to the nearest available delivery partner.
- Added a discount and coupon module integrated directly into the ordering flow.
Client Benefits
- Faster order-to-delivery cycle supporting the 10-minute delivery promise.
- Real-time inventory accuracy, reducing cancelled or unavailable-item orders.
- Automated delivery assignment, cutting dispatch delays.
- Unified visibility for admins across customer orders, delivery status, and inventory in one dashboard.
Oil & Gas | Oman
Oil & Gas — Data Analytics & Integration
Innowit AI delivered a data analytics transformation for a major Omani refinery, building executive dashboards and a command centre that brought together more than 20 business functions into one operational view.
Challenges
- Operational data was scattered across functions including Energy & Power, Maintenance, Hydrocarbon Accounting, HSE, PSM, Asset Scheduling, Finance, Terminal, Domestic Sales, and more — with no single source of truth.
- Executives lacked a consolidated, real-time view across VP-level operations, business improvement, and compliance reporting.
- Data quality issues were undermining confidence in operational decision-making.
Solutions
- Built a refinery command centre delivering hourly operational insights across functions.
- Created a centralized repository (SIA) to unify reporting across departments.
- Delivered data quality dashboards specifically designed to improve decision accuracy.
- Rolled out executive dashboards spanning more than 20 business functions, from hydrocarbon accounting to terminal operations.
Client Benefits
- Single source of truth across more than 20 previously siloed business functions.
- Faster, more confident decisions thanks to hourly operational visibility instead of delayed reporting.
- Improved data quality, directly supported by dedicated data-quality dashboards.
- Executive-level visibility into refinery performance without manual report compilation.
Oil & Gas | Gas Refinery
Shift-Wise Operations & Asset Health Dashboard
For a gas refinery client, Innowit AI built live dashboards to monitor operations shift-by-shift and track asset health in real time — replacing siloed, after-the-fact reporting with a single management view.
Challenges
- Operations performance was reviewed only after the fact, slowing root-cause analysis (RCA) when issues occurred.
- Energy tracking, hydrocarbon loss analytics, and production/throughput KPIs lived in separate systems.
- No drilldown capability to trace performance issues down to the unit, shift, or operator level.
Solutions
- Delivered live dashboards covering energy tracking, hydrocarbon loss analytics, and production/throughput KPIs.
- Built drilldown views down to unit, shift, and operator level for fast root-cause investigation.
- Centralized reporting into a single management dashboard shared across departments.
Client Benefits
- Single source of truth across departments that previously worked from separate reports.
- Faster shift performance reviews and RCA, thanks to unit/shift/operator-level drilldowns.
- Centralized management visibility without waiting on manual cross-department reporting.
Oil & Gas | Gas Refinery
Enterprise Data Integration Layer & Command Center
Beyond dashboards, Innowit AI built a data integration layer connecting planning, operations, finance, and maintenance systems for an oil & gas enterprise — turning fragmented systems into one decision-ready data foundation.
Challenges
- Planning and scheduling (ASPEN-PIMS, ASPEN-APS), operations (PI Historian, LIMS), finance (SAP, accounting systems), and logistics (marine & shipment systems, SAP inventory/blending) all ran as disconnected silos.
- No single, validated version of operational and financial data existed across these systems, slowing decision-making and increasing reconciliation work.
- Leadership lacked a way to correlate KPIs across planning, scheduling, operations, and safety for continuous improvement.
Solutions
- Built an integration layer bridging ASPEN-PIMS and ASPEN-APS (planning & scheduling), SIGMAFine (reconciled actuals), PI Historian (throughput, capacity, tank levels), LIMS (quality data), SAP modules (HSE, accounting, sales, materials, maintenance), and marine/shipment systems into one connected data foundation.
- Delivered a Command Center as a centralized monitoring hub for operations, KPIs, and exceptions in real time.
- Added process optimization views that correlate KPIs across planning, scheduling, operations, and safety.
- Implemented automated exception alerts for critical deviations, enabling rapid response instead of after-the-fact discovery.
Client Benefits
- Eliminated data silos, creating a true single source of truth across planning, operations, finance, and maintenance.
- Faster decision-making, with decision latency reduced from days to minutes across the broader analytics program.
- 40% faster dashboard deployment using reusable accelerators built from this integration layer.
- 60% reduction in data quality issues once data sources were unified and validated centrally.
- 90%+ daily active stakeholder adoption of the resulting dashboards — a strong signal the tools became part of daily operations, not shelfware.
Digital Transformation | USA (E-Waste Management)
Cloud-Native Digital Transformation for E-Waste Management
ERI, a leading provider of sustainable e-waste recycling and refurbishment solutions, partnered with Innowit AI on a comprehensive digital transformation strategy spanning its mobile, web, and backend ecosystem.
Challenges
- Legacy infrastructure limited ERI’s ability to scale and deploy new features quickly.
- Operations teams needed a consistent, high-performance experience across both web and mobile, on iOS and Android.
- Rising infrastructure costs were competing with ERI’s ability to invest in its core recycling business.
- Slow, manual deployment processes were holding back time-to-market for new features.
Solutions
- Implemented a microservices-based architecture on the cloud, enabling seamless integration and rapid deployment of new features.
- Developed Progressive Web Apps (PWAs) for ERI, delivering a consistent experience across devices while minimizing development overhead.
- Built cross-platform mobile apps for the operations team, ensuring consistent, high-performance experiences on both iOS and Android.
- Adopted serverless computing to optimize resource utilization and reduce infrastructure costs.
- Implemented a robust CI/CD pipeline to streamline development and deployment, enabling faster iteration and quicker time-to-market.
- Delivered a modern React front end with role-based dashboards for executives, PMO teams, finance users, and vendors, backed by a .NET Core application layer, SQL Server database, Power BI reporting, and Azure cloud infrastructure with enterprise-grade RBAC, SSO, and audit logging.
Client Benefits
- Lower infrastructure costs through serverless computing, freeing budget for core business investment.
- Faster feature delivery thanks to CI/CD automation and a microservices architecture.
- Consistent cross-device experience for both customer-facing and internal operations teams.
- Enterprise-grade governance: RBAC, SSO, encryption, and audit trails built in from day one.
- Real-time visibility: integrated Power BI dashboards give leadership live insight into project status, financials, and resource utilization.
- Standardized intake and reporting: stage-gated project approval workflows and unified KPI reporting replaced inconsistent, ad hoc tracking across initiatives.
Enterprise Platforms | Multi-Industry
End-to-End ERP Implementation & Customization
Innowit AI delivered a full ERP rollout covering sales, purchase, warehouse, manufacturing, accounting, and HR — plus custom modules and third-party integrations tailored to the client’s operations.
Challenges
- Disconnected systems across sales, purchasing, warehouse, and accounting made it hard to get one reliable view of the business.
- Customer order tracking and aging were difficult to manage without a unified workflow.
- Material planning and project billing processes were largely manual and inconsistent across teams.
Solutions
- Implemented standard ERP modules: workflow, sales, purchase, warehouse, manufacturing, accounting management, and HRMS.
- Built custom applications including after-sales service management, a CPQ (configure-price-quote) system, and customer expense billing.
- Integrated e-invoicing, SAP, and a candidate background-verification (BGV) platform directly into the ERP.
Client Benefits
- Single source of information across sales, purchasing, warehouse, and finance.
- Streamlined customer order tracking, with clear end-to-end visibility.
- Reduced customer aging through better order and billing workflows.
- Streamlined material planning and project billing, reducing manual reconciliation work.
Government / Environment | UAE
End-to-End Recycling & Waste Collection Platform — Tahweel 360 (Ministry of Climate Change and Environment)
Delivered in partnership with a local systems integrator, Innowit AI helped build the “Collect Admin” platform behind Tahweel 360 and the Re.Life waste collection and marketplace initiative for the UAE’s Ministry of Climate Change and Environment — covering everything from order intake to driver dispatch to financial close-out.
Challenges
- Needed end-to-end order creation, tracking, and operational assignment across multiple intake channels.
- Required structured management of clients, suppliers, drivers, vehicles, and inquiries within one admin system.
- Financial processes — vouchers, invoices, payments, and closures — needed to be tracked without revenue leakage.
- Payment collection spanned multiple methods: cheques, online transfers, and messenger-collected payments, all needing to be reconciled centrally.
- Required branch- and country-level configuration to support multi-branch, multi-country operations.
Solutions
- Built multiple order creation channels: web portal, mobile app, and a dedicated inquiry app, with faster inquiry-to-order conversion.
- Implemented role-based user management covering individual clients, enterprise clients, suppliers, and drivers.
- Delivered supplier and operations management including order tracking, assignment, driver management, and vehicle mapping.
- Built complete financial lifecycle management linking orders, vouchers, invoices, payments, and closures.
- Added recyclable category management, inspection management, and branch/configuration management to support country- and category-specific rules.
Client Benefits
- Centralized end-to-end control of orders, users, operations, finance, and branches in a single admin platform.
- Faster inquiry-to-order conversion across web, mobile, and inquiry-app channels.
- Stronger governance through role-based access, accountability, and compliance across all user types.
- Optimized fleet utilization via driver/vehicle availability tracking and classification.
- Complete financial visibility, linking every order to its voucher, invoice, payment, and closure with no revenue leakage.
- Real-time customer financial dashboards, supporting better credit control and reduced outstanding risk for enterprise clients.
- Scalable to multi-branch, multi-country operations, with branch-level configuration supporting future growth.