DEV Community: Jay Rodriguez

How AI Legal Tools Help Businesses Create Better General Business Contracts

Jay Rodriguez — Thu, 23 Jul 2026 05:11:36 +0000

A startup founder needs an NDA, a COO, a service agreement for a new vendor and a CFO, tighter control over liability and payment terms, and they want them fast. However, contracts require meticulous attention to detail and can often slow things down.

This is where AI legal tools can help. They can make contracts faster to prepare and easier to review. However, AI tools vary in utility, with template-like apps posing more risks than advantages.

Why Business Contracts Need More Than a Template

Template-type AI legal tools are primarily useful when it comes to form and style. After all, contracts generally have standard sections, such as scope of work, fees, payment dates, confidentiality, intellectual property, liability, termination, and governing law.

However, they do not generate directly usable output because they are missing specific context. They do not know how risky the client relationship is, whether the work involves sensitive data, or whether the contract needs stronger protection around ownership, delays, scope creep, or unpaid invoices.

This is how a small business using an AI contract template, changing the names of the parties here and there and revising the specific terms, can get in legal trouble. The contract looks professional and has enough legal terms to be impressive, but beneath its complex language and shiny form often hides perilous legal loopholes.

What a Context-Aware Legal AI Does Differently

A legal AI built specifically for contract drafting provides a structured contract-drafting workflow. More importantly, it has built-in guardrails to minimize risks, including advising handover to a lawyer for essential and strategic human oversight.

An AI built specifically for context-aware contract drafting interviews the user. It asks specific questions that enable it to draft contracts specific to the user’s situation and requirements. More importantly, it calls out risks and urges the user to get a lawyer’s opinion on them.

Using AI Legal Tools Correctly

AI legal tools are not a replacement for lawyers. They’re designed to assist with the routine, repetitive, and administrative tasks that take so much of a lawyer’s time. Such tasks include preparatory analysis, word choice, and even formatting and styling.

Therefore, the AI legal tool can take charge of information gathering (from the client), deciding on the type of contract, covering all the standard contract-drafting bases, deciding on the clauses that must be included, and laying out the specifics of the instrument in the proper form.

Then, a lawyer must make the strategic decisions and necessary judgments. Is the interest rate compliant, correct, and not prejudicial to the client’s interests? Is there a way to improve the confidentiality clause to strengthen safeguards? These are the questions the lawyer addresses, and these are the matters in which they show the greatest value.

Therefore, AI contract-drafting tools exist simply to make contract drafting faster and more structured. They’re particularly useful for small companies that want a preliminary agreement they can bring to a lawyer for review and assessment.

Executives and entrepreneurs save time by generating use-case-specific contracts quickly. They cut their costs, too, because they don’t have to pay the lawyer for contract drafting and can limit their legal expenses to the actual legal review.

On a lawyer’s part, AI legal tools cut down the amount of time they must spend on tedious administrative work, allowing them to spend more of their time on strategic advisory duties and making judgment calls. For this high-value work, they can charge a premium, earning more per hour than if they had to do the drafting themselves.

The Need for a Legal AI Agent Instead of General AI for Contract Drafting

General large language models (LLMs) like ChatGPT can generate polished contracts that use convincing legal lingo, but they are not suited to serious contract work. They get their information from general internet knowledge. As such, they are prone to creating contracts that draw from a mish-mash of sources and jurisdictions.

For instance, it may write a clause that satisfies Florida’s state laws, which would be okay if the contract is for a business in Florida, but could spell trouble for a business under New York’s jurisdiction.

This is a real concern for contracts where every word used could carry legal weight and lead to real-world consequences.

A weak indemnity clause can shift too much risk onto the business. A vague service description can lead to disputes about deliverables. A missing confidentiality term can expose sensitive information. A poor termination clause can trap a company in a bad arrangement.

The core issue is general AI’s universal and generic “nature.” It is not the same as an agentic legal AI built around legal workflows, document structure, jurisdiction awareness, and review standards.

AI-Assisted Contract Drafting

Business executives and entrepreneurs can certainly seek contract drafting help from AI to generate their general business contracts and other legally binding agreements. However, they must make sure to use jurisdiction- and context-aware legal AI rather than a general LLM. Furthermore, they must always let a lawyer review their AI-generated legal documents.

For their part, lawyers need to stop thinking about AI as a threat. Legal work, including contracts, will always require accountability. For that reason alone, lawyers will always be necessary, as AI can not be held accountable for any contract it drafted.

Instead, lawyers should use AI as a tool to minimize the drudgery of their profession, thereby freeing up their time for more high-value consulting work. Consequently, they can raise their hourly fees and earn more by doing more of the strategic work they trained for.

What AI Can Really Do for Businesses: From Security Infrastructure to Smarter Operations

Jay Rodriguez — Sun, 29 Mar 2026 14:18:40 +0000

AI is no longer just a buzzword—it's quietly transforming how businesses get things done. From keeping networks secure to analyzing mountains of data and managing employee schedules, AI is everywhere.

Companies now rely on smart systems to handle repetitive work, spot patterns, and even anticipate problems before they arise. Tools like AI-driven security infrastructure, high-speed data hardware, and intelligent time and attendance solutions aren’t just convenient—they help businesses move faster, make better decisions, and stay ahead in a competitive market.

AI-Powered Security Infrastructure for Safer Operations

Every business worries about security. AI can spot trouble faster than humans alone. For instance, machine learning can detect unusual activity on a network, while AI-powered cameras flag anything out of the ordinary in real time.

For organizations managing sensitive information, this isn’t just a “nice-to-have.” AI keeps detailed logs, watches who accesses data, and adapts to new threats automatically. Over time, the system learns from incidents and strengthens protections. The outcome? Fewer risks, quicker responses, and peace of mind—for employees and customers alike.

How AI Data Hardware Supports Faster, Smarter Decisions

Big data can be overwhelming, but AI hardware makes sense of it in a flash. Special processors and AI-focused chips analyze complex datasets in seconds, helping leaders spot trends, forecast outcomes, and plan ahead with confidence.

Take predictive analytics as an example: businesses can detect shifts in sales, production bottlenecks, or changing customer behavior long before problems appear. Decisions that once took days can happen in hours—or even minutes. Beyond speed, this reduces mistakes and gives teams a clear picture of what’s happening across the company, making operations smoother and more reliable.

Transforming Workforce Management with AI Time and Attendance Solutions

Tracking employee hours doesn’t have to be a headache. Modern AI systems handle attendance automatically, flagging missed shifts, overtime issues, and anomalies in real time. HR teams save hours, and payroll errors drop dramatically.
These systems can also help schedule smarter. By analyzing past trends and anticipated workload, AI predicts when and where staff are needed most. Employees benefit too—they get accurate, transparent records and a better work experience. Overall, AI-powered attendance tools boost efficiency while keeping labor costs in check.

Driving Growth with AI Tools for Marketing, Sales, and Customer Experience

AI isn’t just about operations—it can fuel growth. Tools for marketing automation, CRM system, and chatbots help businesses find the right customers and nurture leads effectively. Personalized campaigns, automated follow-ups, and smart customer insights make it easier to engage audiences without extra manual work.

Sales teams also gain a boost. AI identifies high-potential leads, predicts conversion chances, and prioritizes tasks. Meanwhile, customer support becomes faster and more consistent with AI chatbots handling routine queries 24/7. The combined effect? Smarter marketing, better customer experiences, and faster growth—all without overloading teams.

Using Predictive Analytics and Automation to Improve Efficiency

Predictive analytics gives businesses a glimpse into the future. AI sifts through historical data to forecast demand, manage inventory, and highlight operational inefficiencies. Companies can make proactive decisions instead of reacting after the fact.

Automation picks up repetitive chores—think data entry, reporting, and scheduling. That frees up employees for higher-value work. Retailers, manufacturers, and logistics firms see concrete improvements: fewer mistakes, faster workflows, and smoother operations. By pairing prediction with automation, businesses save money, work smarter, and stay ahead of challenges before they become urgent.

FAQs

1. How secure are AI tools for handling customer data?
AI tools are secure when built with strong encryption, access controls, and constant monitoring. Many include alerts that flag suspicious activity to prevent breaches and protect sensitive data.
2. Which AI tool delivers the fastest ROI for business growth?
Automation-focused solutions, such as AI-powered marketing platforms and chatbots, usually deliver quick returns by reducing manual tasks and improving efficiency.
3. Do AI tools require technical expertise to implement?
Not always. Many platforms are user-friendly and integrate easily with existing systems. Advanced solutions, like specialized AI data hardware, may require technical know-how.
4. How do businesses measure success after implementing AI?
Look at improvements in workflow speed, cost savings, conversion rates, and decision-making accuracy. These metrics show how effectively AI supports business goals.
5. What mistakes should businesses avoid when using AI tools?
Avoid over-relying on automation, using poor-quality data, or selecting tools that don’t match your business needs. A thoughtful strategy ensures AI is effective rather than just flashy.

AI is quietly reshaping the way businesses work, from security to data analysis to workforce management. By adopting AI-powered security infrastructure, high-speed data hardware, and intelligent time and attendance tools, companies gain efficiency, reduce risks, and make smarter choices. Layer in AI for marketing, sales, and predictive analytics, and businesses can improve customer experiences, drive growth, and stay competitive. Smartly applied, AI doesn’t replace people—it makes teams faster, more informed, and ready for whatever comes next.

Check out the latest trends in business and technology from Ventures Talk
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Roommate Apps Explained: How to Find the Right Roommate Faster and Safer

Jay Rodriguez — Fri, 20 Mar 2026 05:29:50 +0000

Looking for a roommate used to be stressful—posting flyers, asking friends, or scrolling endless classifieds. Now, a roommate app or roommates finder makes it far easier. These platforms connect you with people who match your lifestyle, budget, and location. With mobile alerts, instant messaging, and compatibility features, you can find the right roommate quickly—if you know how to use these tools effectively.

What Is a Roommate App and How Does It Work?

A roommate app acts as a digital hub where people looking for shared housing can meet those offering rooms. You create a profile listing your budget, preferred neighborhood, and daily habits. The platform then shows roommates and available rooms that align with your preferences.

Most apps include filters, in-app messaging, and location-based suggestions. This lets you search, connect, and communicate all in one place. Many even sync across devices, so your activity is always current.
Some platforms use matching algorithms to suggest compatible roommates based on habits, schedules, and social preferences. This helps prevent mismatches before they happen.

Why Using a Roommates Finder Makes Life Easier

The biggest advantage? Saving time. Instead of juggling multiple listings or relying on word-of-mouth, a roommates finder centralizes everything you need.

Mobile apps make the search even more convenient. You can check new listings, respond instantly, and track your search while on the go. Being responsive can make a huge difference, especially in competitive areas.

Many apps also use location-based recommendations, highlighting rooms that are actually nearby. This keeps your search practical and prevents wasted trips or missed opportunities.

How to Pick a Roommate Safely

Finding the right roommate isn’t just about splitting rent—it’s about compatibility.

Start by reviewing profiles carefully. Look for detailed descriptions, photos, and habits that align with your lifestyle. Ask direct questions about cleanliness, schedules, and guests. Small details often matter more than you’d expect.

Always communicate through secure roommate app messaging. Before committing, meet in person or via video call. This helps confirm identity and gives a better sense of personality.
Finally, set clear expectations early. Talk about rent, bills, chores, and house rules. A simple agreement upfront can prevent problems later.

Features That Make the Best Roommate Apps Stand Out

Not all roommate apps are equal. The best ones have a clean, mobile-friendly interface for browsing and messaging.

Location-based search is essential—it shows listings in your preferred areas. Push notifications let you act quickly on new opportunities.

In-app messaging keeps conversations organized, and synced accounts ensure updates stay consistent. Some apps even offer customer support, which can help if questions or issues arise during your search.

Tips to Find a Roommate Quickly and Successfully

A complete, honest profile goes a long way. Share your habits, lifestyle, and expectations to attract compatible roommates.

Include a friendly, clear photo—people respond better when they can see who they’re talking to.

Stay active: check listings regularly, reply promptly, and don’t let opportunities slip by. Using multiple apps at once can also widen your reach—just keep your details consistent to avoid confusion.

FAQs
What is a roommates finder?
A roommates finder is a platform or app that connects people looking for shared housing. Users can filter matches by location, budget, and lifestyle to find compatible roommates.

Is it safe to find roommates online?
Yes, if you use trusted platforms, verify profiles, and meet potential roommates before committing. Clear communication reduces risk.

How do roommate finder apps work?
You create a profile, browse listings, and communicate through the app. Some apps suggest matches based on compatibility factors like habits and schedules.

Are roommate finder apps free or paid?
Many allow free browsing, while paid features may include advanced filters, boosted visibility, or messaging access.

How long does it take to find a roommate?
It depends on location and activity. Active users in popular areas can often find a match within days to a couple of weeks.

Wrap-Up
A roommate app can remove much of the stress from finding shared housing. By keeping your profile clear, responding promptly, and screening potential roommates carefully, you can secure a living situation that works well for everyone. The right roommates finder makes the search faster, easier, and surprisingly manageable.

Turn Clicks Into Customers: How to Make the Most of Your Amazon Brand Store

Jay Rodriguez — Wed, 18 Mar 2026 09:17:19 +0000

The Amazon Brand Store is a storefront you can create for free on Amazon where you can display your products and showcase your brand through different catalog pages and content.

It is one of the most used Amazon advertisement tools that help you reach, engage, and convert more shoppers.

Amazon Brand Store lets you tell your brand story, which helps build trust among shoppers. You can also use it to highlight your products' value to educate customers and boost cross-selling opportunities.

Amazon Brand Store is highly customizable, which is why it’s a feature you should use to maximize your business’s potential.

Maximizing the Benefits of an Amazon Brand Store

Below are the top tips to help you make the most of your storefront:

1 Design the Brand Store like a website.
Avoid uploading products and mediocre content when creating your store; put some thought into designing it.

This means designing it like a website, which involves focusing on navigation, UX, and storytelling. Here are some tips for doing this:

Ensure the header has your logo.
Include an optimized page meta description for your store.
Use the product collection template to give shoppers a view of your catalog or highlight a collection of related products or themes.
Organize your products by category, type, theme, or use.
Share details about your brand through text tiles.
Create a subpage for a hero or flagship product.
Include CTAs in prominent parts of the pages to encourage customer engagement.

Also, make sure your Brand Store looks good and works correctly on mobile devices. Ensure the text is readable and that the store is easy to navigate.

Check the store’s presentation and operability on different devices to ensure a good user experience for all customers.

2 Optimize your product listings.
Properly optimized product listings improve your visibility, attract more visitors, and help enhance your customers’ shopping experience, which can lead to more conversions.

When done correctly, you also ensure shoppers make informed decisions, which reduces returns and improves customer trust and loyalty.

Below are some useful tips to optimize your product listings:

Use a free or paid keyword research tool to identify high-volume keywords and incorporate them naturally in the product title, description, and page headers.
Create concise product titles with the relevant keyword that highlight the item’s unique selling point (USP).
Provide short but detailed product descriptions with relevant keywords that explain how they address the customers’ pain points.
Add high-resolution images with alt-text that has one to two relevant keywords that clearly describe the product.

3 Incorporate your brand story.
Highlighting your brand story in your store is one of the best and easiest ways to personalize and make it stand out. It’s a strategy that helps you connect with customers and stay on their minds.

You can incorporate your brand story in your store by:

Creating engaging content that explains how your products address your target audience’s pain points.
Highlighting your USP in your banner and other elements of the store.
Using simple, concise language that resonates with your target audience.
Incorporating only high-quality, attention-grabbing images and videos relevant to your brand and products in your store and content.
Publishing customer testimonials to build social proof.

Remember to update all content and visual elements regularly, particularly when you have new products or promotions. By doing so, you keep your brand story fresh and appealing.

4 Promote your Amazon Brand Store.
Getting more people to visit your Amazon Brand Store should always be part of your to-do list. You can do this with the right marketing strategies, such as:

Adding a link to your store in your social media bios, email signature, and other digital marketing materials.
Using Amazon ads, such as Sponsored Brands and Sponsored Products, to drive traffic to your store instead of individual product pages.
Adding the Amazon Brand Store link to your website or blog.

With the right marketing strategy, more customers will be able to find and likely buy from your store.

5 Monitor store performance.
Amazon Brand Store has several features that allow you to track sales, visits, page views, and other metrics to help you understand your store’s performance and improve certain elements as needed.

Store Insights, which you can find in the Store Builder, lets you track metrics like page views, daily visitors, and sales. You can edit and update your store based on these insights.

If you want to know how your products are performing and how to improve your store or its specific elements, use Amazon Brand Analytics. This feature provides data regarding customer behavior, search terms, and other relevant metrics.

Other metrics you should keep an eye on and use to improve your store and adjust your strategies include conversion rates, traffic sources, and top-performing products.

You can also use these metrics to forecast sales and adjust your pricing strategy.

When coupled with Fulfillment by Amazon, which offers fast product delivery, storage, packaging, shipping, and logistics services, your business can thrive in one of the biggest marketplaces in the world.

Because of this, setting up your Amazon Brand Store is one of the smartest strategies you can consider as an online seller.

Getting Started as an Amazon Seller

Jay Rodriguez — Wed, 18 Mar 2026 07:44:05 +0000

To start selling on Amazon Saudi Arabia, you need access to Seller Central Amazon SA. To gain access to Amazon’s selling platform and seller dashboard, you must register for an Amazon seller account.

In this article, you will learn about the first three steps to becoming an Amazon seller.

1. Decide on your selling strategy.

A few decisions must first be made before you register for an Amazon seller account. One of them is your selling strategy. Are you going to sell under your own brand or resell other brands’ products?

Brand Owner

You’re a brand owner if you’re one of the following:

You manufacture your own product. For instance, you sell soap or knitted bags that you make yourself.
Your factory makes your product. You own a factory or plant (or have one on an exclusive contract) that makes your product.
You source your product. You have a private or white-label agreement with a manufacturer. The product is theirs. The technology is, too. But you have the license to sell the product under your own label or brand.

Reseller

You’re a reseller if you’re distributing an existing brand. You don’t make or white-label a sourced product.

An electronics store that carries mobile phones, laptops, and computers from Apple, Samsung, Asus, Dell, and other known brands is a reseller, not a brand owner. Do you sell perfumes from different fashion and perfume houses? You’re a reseller, too.

Which Is Better?

Is it better to be a brand owner or a reseller? Brand owners enjoy certain privileges. For instance, they can do the following:

Run experiments.
Manage customer reviews.
Gain insights using Amazon Attribution (analytics tool).
Get access to a brand dashboard.
Use Amazon’s store-building tools.
Alleviate counterfeit concerns.
Register with the Brand Registry.

That said, your product and business model primarily dictate whether you’re a brand owner or a reseller. Choose the product strategy that fits your business.

You can also do both. You can sell some products under your brand while reselling other brands’ products.

2. Decide on your fulfillment strategy.

You must also decide how to fulfill customer orders. Amazon offers three strategies: Fulfillment by Amazon (FBA), Easy Ship, and Self-Ship. FBA is the most expensive option, but it’s also the most convenient and hassle-free.

Fulfillment by Amazon: FBA outsources the entire fulfillment function to Amazon. You send your products to Amazon for storage. When an order comes in, Amazon processes the order, takes your product out of storage, packs it, and ships it to the customer. Amazon also tracks and answers customer inquiries about orders and processes returns and refunds when necessary. FBA enables pay on delivery.
Easy Ship: Under Easy Ship, Amazon becomes your last-mile delivery partner. You store and pack your products. When an order comes in, Amazon picks it up and delivers the package to your customer. Amazon also handles order tracking, customer support, and returns and refunds. Easy Ship allows pay on delivery.
Self-Ship: In Self-Ship, you take care of all logistics. You store your product, pack it, and deliver it (or arrange delivery with your preferred carrier). You answer customer inquiries and manage returns and refunds. Under Self-Ship, you don’t have a pay-on-delivery option, unless your last-mile delivery partner offers it.

3. Register as an Amazon seller.

Register for a seller account using your Amazon customer account or your business email address. You must provide:

Your phone number
Your KSA national ID
Your trade license if you are applying as your company, or your proof of billing (bank account or credit card statement, utility bill) if you’re applying as an individual
Bank account details for the bank account you want to use for receiving your Amazon sales proceeds

While registering for an account, you must choose between two seller plans: Individual and Professional.

Individual: The individual plan is ideal if you’re totally new to online selling. Maybe you’re still exploring e-commerce and may even be ideating which product to sell or testing market response to different products. It’s also for you if your monthly sales don’t exceed 40 items.
Professional: The professional plan comes with more advanced listing, selling, advertising, and reporting features. It’s the better option if you are an experienced online seller with a monthly turnover of more than 40 units.

Note: The Professional Amazon seller account usually comes with a monthly subscription fee. However, Amazon SA currently offers the Professional plan without a monthly subscription fee.

Tip: When you register for an Amazon SA seller account, sign up for a Professional plan even if you are not an expert online seller or do not expect your monthly sales to exceed 40 units. The free subscription is your opportunity to get to know the Professional account dashboard, familiarize yourself with the advanced tools available to Professional sellers, and see whether you can leverage them to scale faster and bigger without paying a subscription fee.

If you change your mind later on (if Amazon SA starts levying the subscription fee to Professional sellers), you can simply switch to the Individual plan.

Get Ready to Sell

Getting started as an Amazon seller starts with deciding on your selling strategy, choosing your preferred fulfillment option, and registering for an account. Once you are in Amazon Seller Central, you can start listing your products, building your storefront, and promoting your e-commerce store using Amazon ads products online.

A Strategic Framework for AI-Driven Operations on Amazon

Jay Rodriguez — Wed, 18 Mar 2026 07:00:21 +0000

Artificial intelligence's role in ecommerce has evolved beyond simple automation. Any modern Amazon seller in the UAE must realize that AI is giving a significant competitive advantage to those who have integrated it into the core of their operational layer.

It's not enough to view and treat AI as a collection of disparate tools; that can be a grievously limited (and limiting) perspective. A more advanced approach is to design your ecommerce business, particularly your processes, in such a way that AI informs and optimizes every major function.

Accomplishing this requires a strategic framework. Below are five pillars you can use as part of a methodical approach for integrating artificial intelligence into a more resilient and efficient Amazon business.

Pillar 1: Predictive Product and Opportunity Analysis

Traditional product research, often reliant on historical sales data and lagging indicators, is being superseded by AI-driven predictive analysis. The AI approach minimizes speculation. Instead, it gives you data you can use as a basis for product development and market entry decisions.

A key technique is market gap synthesis. This involves the systematic, AI-powered analysis of customer review data across an entire product category. By aggregating and analyzing thousands of reviews, AI can identify recurring product flaws, unmet feature requests, and consistent customer pain points. At the end of this analysis, you'll gain a precise set of specifications you can use to design a product that meets documented market demand.

You can also use AI to identify underserved keyword segments. AI can go through large search query data to reveal keywords whose commercial intent remains unmet by the products currently available in the market. This allows sellers to enter niche markets where competition is less fierce and customer needs are explicitly defined, creating a more direct path to visibility and sales.

Pillar 2: Data-Informed Listing and Content

Optimizing for Amazon's discovery algorithms is important. You need to be found before customers can buy. Your goal, therefore, is to create product listings that are legible to Amazon's internal AI, ensuring Amazon can effectively match your product to relevant customer queries.

AI-powered copywriting facilitates this by weaving together multiple data streams. It goes beyond basic keyword insertion to create product descriptions and bullet points that:

use primary and secondary keywords;
incorporate the specific language used by customers in positive reviews, and
directly answer questions identified through sentiment analysis.

The result is a highly relevant and persuasive AI-native listing.

This principle extends to AI-generated visual content. Generative AI can produce lifestyle images and A+ Content designed to proactively address common customer questions and concerns or to help customers visualize how their life can change (for the better) when they have your product. If data indicates customers are unsure about a product's size, an AI-generated infographic comparing the product to a common object can be created.

These things can enhance the customer's shopping experience and, more importantly, reduce purchase friction.

Pillar 3: Algorithmic Advertising and PPC Management

Manual management of pay-per-click (PPC) campaigns, a core component of Amazon advertising in the UAE (and globally), is becoming increasingly inefficient in a dynamic environment. AI-driven systems can process data and execute optimizations at a scale and speed that is years ahead of what you can achieve manually.

This AI capability enables agile, intent-based bidding. Rather than applying static bids, AI systems can continually adjust your bids based on a multitude of constantly-in-flux variables, including the time of day, the customer's device, and the historical conversion probability associated with a specific search query. This can maximize the return on ad spending by allocating the budget toward the most profitable impressions.

Furthermore, AI facilitates an autonomous campaign architecture. These systems can identify high-performing customer search terms from discovery campaigns and migrate them to precisely targeted manual campaigns. While doing that, it can simultaneously update negative keyword lists to prevent inefficient spend. The result is a self-optimizing, self-refining feedback loop.

Pillar 4: Predictive Inventory and Supply Chain Management

Maintaining a fixed number of days of stock (and other outdated techniques like it) are inherently ill-suited to the variable nature of ecommerce. AI addresses this need by enabling a predictive approach to supply chain management.

AI forecasting models can synthesize a wide array of data points beyond simple sales velocity. These inputs can include seasonality and competitor stock levels. They can incorporate planned promotional activity and logistical lead times. Even macroeconomic indicators and other parameters that may seem irrelevant upon manual inspection may be included. The result is a more accurate and nuanced demand forecast.

This allows you to optimize working capital. Because you can align inventory levels closely with forecasted demand, you can prevent costly stockouts as well as minimize the carrying costs associated with overstocking. AI can provide precise recommendations on order quantities and timing, improving cash flow by effectively deploying working capital.

Pillar 5: Customer Intelligence and Brand Management

An AI-integrated approach transforms customer service and review monitoring from a reactive necessity into a valuable source of business intelligence and proactive brand management.

Through AI-powered sentiment analysis, you can aggregate and analyze customer feedback at scale. This lets you gain quantitative insights into what the market believes to be your product's strengths and weaknesses. Consequently, you can detect (and resolve) product defects or service cases before they become an issue. For example, a sudden increase in negative sentiment around "packaging" can trigger an immediate operational review before the problem escalates.

AI insights also enable proactive brand and reputation management. AI can identify dissatisfied customers; some of these you can reach out to in an effort to turn the negative encounter into a positive experience. AI can also automatically request customer reviews from satisfied customers. These will let you build social proof, which is an essential factor in Amazon's search ranking algorithms.

AI-First Ecommerce Thinking

AI is here, and its intelligence is increasing at an exponential rate. Every industry must consider strategically incorporating it into its processes; ecommerce is no exception.

Why MNOs Must Adopt eSIM IoT Now

Jay Rodriguez — Mon, 23 Feb 2026 09:14:46 +0000

In truth, you’re a bit late to the game if you’re just now exploring the possibility of providing eSIM connectivity to your subscribers.

According to GSMA product director Chris Li, in his presentation, “eSIM Market: China and Beyond eSIM,” by 2023, 120 countries already had commercial eSIM service for smartphones.

At this point, many providers can already deliver a reliable remote provisioning platform and complementary services to mobile network operators (MNOs). Original equipment manufacturers (OEMs) are also inexorably shifting towards eSIM devices, for instance, the eSIM-only iPhone in the United States, the country that accounts for approximately a quarter of the nearly 600 million eSIM smartphone connections globally.

In fact, according to Li’s report, there are now MNOs capitalising on the digital shift by introducing digital-only mobile network brands, such as Fizz in Canada and Visible in the United States. The good news, moreover, is that the subscriber churn that the industry and MNOs, in particular, expected from eSIM adoption did not materialise.

It seems, then, that adopting eSIM means MNOs get to cater to the needs of digital natives, offer better mobile connectivity, and enable innovative services. Unfortunately, the availability of this data now means MNOs that are just about to transition to eSIM are following a path many others (maybe even their competition) have already trodden.

Be that as it may, it’s still the right choice to act and adopt eSIM now, especially now that GSMA has rolled out the Internet of Things (IoT) eSIM specifications. With the increasing prevalence of smart and connected vehicles, drones, meters, GPS trackers, wearables, security devices, streetlights, and healthcare devices, MNOs can capitalise on IoT eSIM to provide innovative connectivity plans and packages to enterprise clients.

Why the IoT eSIM Standard Is Important

eSIM promised seamless cellular connectivity in machine-to-machine (M2M) applications. The ability to remotely provision asset trackers, sensors, drones, and other devices as they cross state boundaries is invaluable.

As these devices move from place to place, their connection to their original carrier gets weaker, so they must switch networks, perhaps several times, across their routes. To enable this, enterprises used their devices with SIMs preloaded with multiple international mobile subscriber identity (IMSI) numbers that the device can use or cycle through on demand.

This multi-IMSI solution to network switching works but is limited and inflexible. For one, the preloaded numbers must be negotiated beforehand, which means expensive operator plans. Additionally, if a device has to pass through a place where none of the preloaded IMSIs work, it must lose its connection.

With eSIM, enterprises can remotely provision their devices on the fly. There’s no need to be tied down to high-cost services. Devices don’t have to lose coverage, moreover, as local operator profiles can be pushed to devices as needed.

However, a few issues made the M2M eSIM standard less than ideal.

Complex Infrastructure Integration In the M2M eSIM standard, there needed to be careful orchestration to ensure relevant integrations between the subscription manager data preparation (SM-DP) and subscription manager secure routing (SM-SR) platforms. SM-DP generates and delivers operator profiles, while SM-SR handles secure data routing, transmitting encrypted operator credentials to eSIMs and enabling remote management.

This means much time spent in technical integrations and testing, longer time to live, and long lead times when executing changes, swaps, or new integrations. Even adding newer devices to the ecosystem can take a while.

Limitation for Constrained Devices The M2M architecture has specific requirements that render M2M eSIM unusable or impractical for power- and connectivity-constrained devices. For instance, M2M eSIM requires support for communication protocols, such as short message service (SMS), bearer-independent protocol (BIP), transmission control protocol/internet protocol (TCP/IP), and card application toolkit transport protocol (CAT_TP). These protocols are not universally supported among M2M devices.

Due to these limitations, the M2M eSIM architecture had not been widely adopted by the enterprises for which it was designed.

Opportunities With the New IoT eSIM Standard

The introduction of the IoT eSIM standard addresses many of the limitations of traditional eSIM frameworks. For MNOs, it means more opportunities to capture the enterprise market and expand market reach.

Streamlined Architecture The IoT eSIM specification eliminates SM-SR from the equation, using SM-DP+, which unifies the functions of SM-DP and SM-SR in the older M2M eSIM architecture. It’s the same server used in consumer eSIM. This shift is made possible by the IoT Profile Assistant (IPA), which lives in the eSIM or the device, and it enables the eUICC on IoT eSIM to be provisioned by an SM-DP+ server.

This development removes the complex integration required between two servers (SM-DP and SM-SR), and it’s proven to offer better flexibility in managing and delivering operator profiles to fleets of devices.

Versatility and Usability
eSIM IoT enables pull functionality, allowing devices to download profiles and updates when they go back online while retaining the push functionality that enables an enterprise’s centralised control over their devices. The eSIM IoT Remote Manager (eIM) makes this ‘device-led’ profile downloading possible for IoT devices.
Expanded Device Support
The optimised protocols in the new standard enable support for a broader range of devices, including power-constrained IoT devices.
Leveraging Existing Infrastructure
The great thing about the IoT eSIM standard is that MNOs can repurpose their consumer RSP infrastructure, such as SM-DP+ servers, to support IoT applications. This lowers the expected capital expenditure of adopting IoT eSIM to serve enterprise clients.

MNOs Need to Act Now

The time to adopt eSIM IoT is now.

The market is rapidly changing, and IoT eSIM is unlocking new opportunities for enterprises and, thus, the MNOs that serve these organisations’ connectivity needs.