What industries do Aptibit's case studies cover?

Aptibit's case studies span multiple industries including smart cities, retail, manufacturing, and enterprise security. Each case study demonstrates real-world AI implementations using the Visylix video intelligence platform and custom AI solutions, showcasing measurable outcomes across diverse sectors.

What kind of ROI do Aptibit's clients achieve?

Aptibit's clients consistently achieve significant ROI from AI deployments. Our case studies document measurable improvements in operational efficiency, cost reduction, security enhancement, and revenue growth through AI-powered solutions including video analytics, computer vision, and intelligent automation.

Success Stories

Case Studies

Real world results from Visylix AI deployments across industries. Discover how organizations are transforming their operations with intelligent video analytics powered by Aptibit.

Smart Cities

10,000 Camera Smart City Deployment

Leading Municipal Corporation

A major Indian municipal corporation was operating over 10,000 CCTV cameras across its urban sprawl, yet most footage sat unwatched in storage servers. Traffic congestion was worsening every quarter, incident response times averaged over 45 minutes, and city administrators had no unified dashboard to coordinate operations. The existing surveillance infrastructure was passive, fragmented, and unable to deliver actionable intelligence at scale.

34% Conversion Lift Across 85 Stores

Leading Retail Chain

A national retail chain operating 85 stores was struggling with declining foot traffic conversion rates and had no reliable method to measure actual customer engagement. Traditional people counters at entrances provided inaccurate numbers, counting staff and repeat entries as unique visitors. Store managers lacked visibility into which zones attracted the most attention, where customers spent the longest time, and why certain product displays underperformed despite high traffic areas.

Zero Safety Incidents via AI PPE Detection

Major Manufacturing Plant

A large manufacturing plant with over 3,000 workers across three production facilities was facing persistent safety compliance issues. Despite mandatory PPE policies, weekly audits consistently revealed that 15 to 20 percent of workers on the floor were not wearing required safety equipment at any given time. Manual spot checks were ineffective because workers would comply temporarily when supervisors were visible, then revert to non compliance once they moved on. The plant had recorded 23 safety incidents in the previous year, several resulting in lost work days.

1,500 Camera AI Security Upgrade

Fortune 500 Technology Company

A Fortune 500 technology company with a sprawling campus of 12 buildings, over 8,000 employees, and 1,500 existing CCTV cameras was operating a fragmented security system. Each building had its own DVR/NVR setup from different eras of deployment, with no unified monitoring capability. Security personnel had to physically move between control rooms to review footage. The existing system had no analytics capability, visitor management was entirely manual, and the company had experienced multiple unauthorized access incidents in the previous year. The security team was unable to perform cross camera tracking or forensic searches efficiently.

85% Fewer Patient Safety Incidents

Leading Hospital Chain

A leading hospital chain operating 12 facilities with over 6,000 beds was facing a growing number of patient safety incidents, including unauthorized entries into ICUs, operation theaters, and pharmacy storage rooms. The chain recorded 47 patient safety events in the prior year, ranging from falls in unmonitored corridors to unauthorized visitors entering restricted wards. PPE compliance among clinical staff was inconsistent, with manual audits revealing only 78% adherence during peak hours. Waiting rooms were frequently overcrowded with no system to monitor occupancy or redirect patient flow, leading to complaints and operational bottlenecks.

85%

Safety Incident Reduction

2M Daily Passengers, 45 Transit Hubs

National Transportation Authority

A national transportation authority managing 45 transit hubs including airports, railway stations, bus terminals, and highway toll plazas was struggling to maintain security and operational efficiency across its network. The authority processed over 2 million passengers daily, yet its surveillance infrastructure consisted of disconnected CCTV systems at each location with no centralized monitoring capability. Security incidents at transit hubs had increased by 18% year over year, crowd management during peak hours was entirely manual, and toll collection on highway corridors suffered from revenue leakage due to inaccurate vehicle identification. The authority needed a unified platform that could handle the scale and diversity of its operations.

2M+

Daily Passengers Processed

99.1%

ANPR Accuracy

62%

Security Incident Reduction

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Education

8 Campuses Secured with 96% Accuracy

Leading University Group

A prominent university group operating 8 campuses with a combined student population of 42,000 was dealing with mounting security concerns, an unreliable attendance tracking process, and growing pressure from parents and regulatory bodies to demonstrate robust student safety measures. Campus security relied on manned guard posts and basic CCTV that was only reviewed after incidents occurred. Attendance was recorded manually by faculty, consuming valuable teaching time and producing inaccurate records that were frequently disputed. Examination integrity was a recurring issue, with multiple incidents of impersonation reported each semester. Hostel safety, particularly monitoring entry and exit during nighttime hours, was entirely dependent on manual logbooks maintained by wardens.

96%

Attendance Accuracy

71%

Security Incident Reduction

Campuses Deployed

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Banking & Finance

Zero ATM Fraud Across 320 Branches

Major Banking Group

A major banking group operating 320 branches and 1,200 ATM kiosks across the country was facing escalating security threats and deteriorating customer experience. ATM fraud incidents, including skimming device installation and cash trapping, had increased by 35% over the previous year, costing the bank millions in direct losses and customer compensation. Branch security relied on aging CCTV systems that recorded footage at low resolution, making forensic investigation of disputes and incidents extremely difficult. Customer wait times at high traffic branches regularly exceeded 25 minutes, driving dissatisfied customers to competitor banks. The security and operations teams had no centralized visibility across the branch network, and each branch operated as an isolated security island.

Insurance / Financial Services

48 Hours to 15 Minutes: AI Documents

A Leading Insurance Company

A leading insurance company was drowning in manual document processing. Their operations team handled thousands of policy documents, claims forms, endorsements, and regulatory filings every week. Each document batch required manual data entry by trained operators who cross referenced multiple fields across pages of dense text. Processing a single batch took over 48 hours on average, and error rates hovered around 12%, leading to costly rework, delayed claim settlements, and growing customer dissatisfaction. The company had attempted to use off the shelf OCR tools, but the complex layouts, variable formatting, and domain specific terminology in insurance documents produced extraction results that were too unreliable to use without extensive human verification.

Logistics / Supply Chain

40% Fewer Delivery Delays via AI

A Fast Growing Logistics Company

A fast growing logistics company managing a fleet of over 800 vehicles across 14 distribution centers had no centralized visibility into its operations. Dispatch was handled through a combination of phone calls, spreadsheets, and a legacy system that updated shipment status only twice per day. Drivers relied on personal navigation apps with no integration into the company routing or scheduling systems. Delivery delays affected nearly 30% of shipments, customer complaints were rising steadily, and the operations team spent hours each day manually reconciling shipment data across disconnected tools. The company was growing rapidly, adding new routes and clients every month, but its operational infrastructure could not scale to match.

40%

Delivery Delay Reduction

Cart Abandonment Cut from 78% to 34%

A Premium Fashion Brand

A premium fashion brand with a loyal offline customer base was struggling to translate its brand appeal into online sales. The existing e-commerce platform had been built four years earlier and had accumulated layers of patches and feature additions that degraded both performance and user experience. Cart abandonment stood at 78%, well above the industry average. Mobile users, who represented 72% of traffic, faced an especially poor experience with slow page loads averaging 6.8 seconds, a checkout flow that required 7 steps, and product images that rendered poorly on smaller screens. The brand was investing heavily in digital advertising to drive traffic, but the poor conversion rates meant that customer acquisition costs were unsustainably high.

90x Organic Traffic Growth for SaaS

A B2B SaaS Startup

A B2B SaaS startup with a strong product and growing customer base was struggling to scale its marketing efforts. The company website attracted only 500 organic visits per month, ranking for almost no meaningful keywords in its category. Content was limited to a handful of blog posts published sporadically with no strategic framework. The website conversion rate from visitor to marketing qualified lead (MQL) was under 0.8%, and the company relied almost entirely on outbound sales and paid search to generate pipeline. Customer acquisition costs were climbing as paid channels became more competitive, and the founding team recognized that building a sustainable organic growth engine was essential for long term viability.

45,000

Monthly Organic Traffic

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