Anblicks

On Gandhi Jayanti, let us reflect on Bapu’s vision of harmony, simplicity, and collective progress. Wishing you a meaningful day of reflection.

Turning Inventory Data into Actionable Intelligence

Stockouts don’t just impact inventory — they impact sales, customer experience, and operational efficiency.

Anblicks InventoryIQ helps retailers move beyond basic inventory dashboards with automated stockout attribution, real-time insights, alerts, and supplier performance analytics — all built natively on Snowflake.

With InventoryIQ, retailers can:
✅ Identify the root causes of stockouts
✅ Improve inventory visibility
✅ Monitor supplier performance
✅ Act faster with real-time alerts
✅ Make data-driven inventory decisions

Explore InventoryIQ: https://www.anblicks.com/solutions/inventoryiq/

A practical guide to AI-driven enterprise re-platforming.

The real opportunity is much bigger.

What if organizations could capture their modernization expertise once and apply it across hundreds of applications?

That shift from manual refactoring to AI-driven re-platforming has the potential to reduce technical debt, improve consistency, strengthen security, and accelerate modernization at enterprise scale.

In this guide, we explore:

✅Why traditional modernization programs struggle
✅Why AI coding assistants only solve part of the problem
✅How transformation-driven AI changes the economics of enterprise modernization
✅What this means for engineering teams and business outcomes

If you're leading application modernization, platform engineering, or enterprise architecture initiatives, we hope you'll find it useful.

Read the full guide here: https://www.anblicks.com/blog/re-platforming-how-ai-is-transforming-enterprise-modernization/

Is your API automation framework actually testing APIs... or just keeping itself alive?

APIs evolve fast. Test scripts don't.

Soon, teams spend more time maintaining automation than testing.

What if Swagger could do more than document APIs—and automatically generate, execute, and analyze tests as APIs change?

In this guide, we explore:

✅ Why traditional API automation becomes unsustainable at scale
✅ How Swagger can become the single source of truth for testing
✅ The architecture of an autonomous API testing framework
✅ Where AI delivers the highest value in API validation
✅ The critical areas where human QA expertise remains irreplaceable
✅ The hidden Swagger quality issues most teams discover too late

Read the full guide here: https://www.anblicks.com/blog/building-an-autonomous-api-testing-framework-with-swagger/

Building a Centralized Logging Platform on AWS

Modern cloud-native applications generate logs from multiple sources, making centralized logging essential for faster troubleshooting and better observability.

In this blog, we explore how to build a scalable, cost-effective, and production-ready centralized logging platform using AWS services and open-source technologies.

What you'll learn:

✅Collect logs efficiently using Fluent Bit on Amazon EKS
✅Stream logs in real time to Amazon OpenSearch for fast search and visualization
✅Run historical SQL-based analytics using Amazon Athena
✅Configure proactive monitoring and alerting with OpenSearch Alerting and Amazon SNS
✅Design a cloud-native architecture that scales independently while avoiding vendor lock-in

If you're working with Kubernetes, AWS, or modern DevOps platforms, this guide provides a practical approach to designing a production-ready logging solution.

Read the full blog here: https://www.anblicks.com/blog/building-a-centralized-logging-platform-on-aws-using-fluent-bit-opensearch-and-s3/

What if your testing process could think, learn, and improve on its own?

Traditional testing approaches are struggling to keep pace with faster release cycles and growing application complexity. Autonomous AI is changing that, bringing intelligence and adaptability to every phase of the Software Testing Life Cycle (STLC).

From analyzing requirements and generating test cases to identifying risks and optimizing ex*****on, AI is helping teams deliver quality software faster and with greater confidence.

✅ Faster test creation and ex*****on
✅ Improved test coverage and accuracy
✅ Early defect detection
✅ Reduced maintenance with self-healing capabilities

The future of testing isn't just automation, it's autonomy.

Discover how Autonomous AI is transforming STLC: https://lnkd.in/g2nvT7pX

Your application works perfectly on your machine. But what happens when your users aren’t on a fast connection?

Images are often one of the biggest contributors to slow-loading applications and frustrating upload experiences.
Image compression can make a significant difference—not just by reducing file size, but by improving:
🔹 Page load performance
🔹 Mobile user experience
🔹 Image upload reliability
🔹 Cloud storage and transfer costs
🔹 Performance in low-bandwidth environments

From lossless vs. lossy compression to modern formats like WebP and AVIF, client-side and server-side compression, CDNs, and retry strategies, developers can build more resilient image workflows in several practical ways.

The key takeaway? Don’t optimize only for ideal conditions. Build for the real world.

Read the full blog here: https://www.anblicks.com/blog/image-compression-in-software-development/

Warm wishes on Janmashtami from all of us at Anblicks!

May Lord Krishna guide our paths toward continuous growth, wisdom, and meaningful success.

From Manual Document Review to Faster Funding Decisions

We partnered with an auto financing organization that was processing thousands of funding documents manually, resulting in slower approvals and greater room for error at every step.

Anblicks built an AI-powered document intelligence platform combining OCR, Generative AI, and automated compliance checks to handle classification, extraction, and validation with minimal manual intervention.

Here's what changed:

✔️ 80% less manual effort
✔️ 60% faster funding cycles
✔️ 40% drop in operational overhead
✔️ Improved data accuracy across every document type

Read the full success story to see how Anblicks engineered an AI-driven document intelligence platform using OCR, Generative AI, and automated compliance checks, built for scale, security, and compliance.

Read the full story here: https://www.anblicks.com/insights/success-stories/accelerating-auto-loan-funding-with-ai-powered-document-intelligence/

Why does basic text-to-SQL fail in enterprise production?

Pasting a database schema into a prompt works in demos. In real-world multi-tenant databases with hundreds of tables, it risks full table scans, hallucinated joins, and runaway queries.

In our latest blog, Shabbir Challawala reveals how we built a production-ready natural language search pipeline using Amazon Bedrock:

✅ Multi-pass validation: Vector retrieval, re-ranking, and self-critique
✅ Hard safety guardrails: Strict tenant-level row and join constraints
✅ Semantic caching: Faster, cost-effective query resolution

Learn how to safely move from natural language prompts to verified SQL queries.

Read the full blog: https://www.anblicks.com/blog/from-prompt-to-query-how-we-built-natural-language-search-over-our-own-database/