Industry Solutions
Industry solutions and innovations driven by MongoDB.
The Hidden Security Gap in Smart Grid Telemetry (And How to Fix It)
Smart grids are getting smarter. Millions of connected meters, batteries, and electric vehicle chargers now talk back to the systems that run the global grid, and that two-way flow is exactly what makes demand response, distributed energy resources (DER), and real-time balancing possible. It's also what makes this interconnected grid a bigger target than ever before.
August 17, 2026
Industry Solutions
The Hidden Security Gap in Smart Grid Telemetry (And How to Fix It)
Smart grids are getting smarter. Millions of connected meters, batteries, and electric vehicle chargers now talk back to the systems that run the global grid, and that two-way flow is exactly what makes demand response, distributed energy resources (DER), and real-time balancing possible. It's also what makes this interconnected grid a bigger target than ever before.
Enhancing Energy Management with the Power of MongoDB and Agentic AI
As we race toward 2050, the U.S. electric grid faces a massive capacity surge, with transformer needs projected to increase by 160%–260%, according to the U.S. Department of Energy. For utility operators, grid modernization is no longer a long-term goal; it’s an urgent operational necessity.
Powering Open Banking Consent with MongoDB and Agentic AI
Open Banking and Open Finance (OB&OF) only scale if customers can grant and renew consent in a way that feels safe, transparent, and effortless—yet today consent friction causes more than half of users to abandon otherwise high-value digital experiences. This blog shows how financial institutions can use MongoDB, agentic AI, MongoDB Atlas Vector Search, and the MongoDB MCP Server to turn fragmented consent flows into a single, auditable journey that reduces drop-off and unlocks open finance growth.
Financial Crime Mitigation with MongoDB / Part IV: Agentic AI for Case Management
Welcome back to the last part of our series on Building a Financial Crime Mitigation Platform. We have shown how MongoDB ideally supports the technical capabilities of modern digital financial operations as a unified data platform. In case you missed it, be sure to check out the series overview.
Fraud Hides in Patterns. Vectors See Them.
Fraud has always been a behavioral problem. The signals that distinguish a genuine payment from a fraudulent one are rarely visible in a single field. Instead, they live in the pattern of how an account holder behaves over time: the merchants they frequent, the rhythm of their spending, and the sequence of events before and after each payment. Banks have known this for decades. The question has always been how to put it into practice.
From Intent to What-If: AI Agents for Network Operations and Planning
It’s a busy Wednesday evening in Munich. A new Alpenmarkt retail store has just opened its doors at Marienplatz, with POS terminals coming online and customers beginning to flow through. Deep in the network infrastructure, however, a subtle queue-scheduling collision is quietly building pressure. In less than a minute, this issue will push POS latency beyond the agreed SLA threshold, potentially disrupting transactions and customer experience. At the same moment, thousands of miles away, a network planning engineer at US Mobile sits at their desk and poses a question through a chat interface: “What happens to our NYC and LA cells if we raise prepaid downlink speeds from 7.2 to 20 Mbps this Saturday evening?”
Circular Commerce in Retail: Building the Data Foundation for AI-Driven Recommerce
Retail is entering a new phase where products are no longer sold once and forgotten. Instead, retailers are increasingly seeking to participate in the second, or even third, transaction of a product's lifecycle through trade-in, refurbishment, resale, or recycling. This shift is being driven by the rapid growth of recommerce platforms that are capturing significant portions of the secondary market. To remain competitive, retailers are increasingly investing in their own circular commerce capabilities, extending customer relationships far beyond the initial sale.
Financial Crime Mitigation with MongoDB / Part III: Behavioral Risk Modeling for Event-Driven Fraud Detection
Welcome back to our series on Building a Financial Crime Mitigation Platform, in which we demonstrate how MongoDB ideally supports the technical capabilities of modern digital financial operations as a unified data platform. In case you missed it, be sure to check out the series overview.
Data-Driven, Interoperable Core Banking: A BIAN and MongoDB Perspective
Core banking is the operational heart of a bank: the system of record for accounts, payments, and ledger entries that every other capability depends on. Yet core banking modernization remains one of the industry’s hardest priorities because the problem is not just legacy infrastructure. Every new product, channel, regulatory requirement, or acquisition adds more complexity to the systems that run the bank.
Modern QR Payment Architecture with MongoDB
Digital-first commerce has fundamentally re-engineered the global money movement. While plastic cards remain the primary consumer gateway in many markets, the democratization of real-time transactions across high-growth ecosystems (such as APAC and LATAM) has occurred at the point of sale via QR Payment Codes (QRPC). As a low-cost, zero-hardware interface, QR Payment Codes let merchants accept digital payments using nothing more than a printed placard or a basic screen.
Real-Time Contextual Merchandising for Retailers with MongoDB
Imagine this. The World Cup is taking place. The weather in a customer’s location will be pleasant during the big match. We know the same customer has a strong affinity for outdoor living and is physically close to one of our stores right now. We also have a sharp, real-time understanding of BBQ products in stock in that specific store location. Instead of sending a generic promotion to a broad segment, we deliver a timely, useful mobile app notification that reflects the customer’s moment, their location, their interests, and what the store can actually fulfill.