Thursday, March 12, 2026

Top Cybersecurity Tools for Businesses in 2026

Cybersecurity is no longer an optional investment for businesses of any size. In 2026, the average cost of a data breach has reached $4.9 million globally, and ransomware attacks now target small and mid-sized businesses more frequently than large enterprises — precisely because smaller organisations tend to have weaker defences.

The right combination of cybersecurity tools can protect your business, your customers, and your reputation without requiring a dedicated security team. Here are the most effective cybersecurity tools available in 2026, chosen for real-world effectiveness and value.

Why Cybersecurity Investment Has Never Been More Urgent

The threat landscape in 2026 is fundamentally different from five years ago. AI-powered phishing attacks are now indistinguishable from genuine communications. Ransomware-as-a-Service (RaaS) has lowered the barrier for attackers to near zero. Remote and hybrid work has dramatically expanded the attack surface of every organisation.

The businesses most at risk are those still relying on basic antivirus software and a firewall. Modern cybersecurity requires a layered approach — what security professionals call "defence in depth."

Top Cybersecurity Tools for Businesses in 2026

1. CrowdStrike Falcon – Best Endpoint Detection and Response (EDR)

CrowdStrike Falcon is widely regarded as the gold standard for endpoint protection in 2026. It uses AI-powered behavioural analysis to detect threats that signature-based antivirus software completely misses — including zero-day exploits and fileless malware.

Best for: Businesses needing enterprise-grade endpoint protection
Pricing: Falcon Go from $59.99/device/year
Standout feature: Real-time threat intelligence from 1 trillion+ security events daily

2. Cloudflare Zero Trust – Best for Network Security

Cloudflare's Zero Trust platform has become essential for organisations with remote workers. It replaces traditional VPNs with a more secure model where no user or device is trusted by default — every access request is verified regardless of location. The free tier is generous enough for small businesses.

Best for: Remote and hybrid teams; replacing legacy VPNs
Pricing: Free for up to 50 users; Teams plan from $7/user/month
Standout feature: Protects against internal threats and lateral movement attacks

3. 1Password Business – Best Password and Credential Management

Weak and reused passwords remain the leading cause of data breaches. 1Password Business enforces strong, unique passwords across your entire organisation, provides secure credential sharing between team members, and flags compromised passwords in real time using breach monitoring.

Best for: All businesses regardless of size
Pricing: $7.99/user/month
Standout feature: Watchtower continuously monitors for compromised credentials

4. Proofpoint Email Security – Best for Phishing Protection

Over 90% of cyberattacks begin with a phishing email. Proofpoint uses AI to analyse email content, sender behaviour, and domain reputation to block malicious emails before they reach employee inboxes. It also provides security awareness training — automated simulated phishing campaigns that teach employees to spot real attacks.

Best for: Organisations handling sensitive data; financial services; healthcare
Pricing: Essentials plan from $2.95/user/month
Standout feature: Targeted Attack Protection identifies and blocks spear-phishing attacks

5. Veeam Data Platform – Best for Backup and Recovery

When ransomware strikes, the ability to restore clean backups quickly is often the difference between a minor incident and a catastrophic one. Veeam is the industry leader for backup and recovery, supporting physical, virtual, and cloud environments. Its immutable backups cannot be encrypted or deleted by ransomware.

Best for: Any business with critical data; ransomware protection
Pricing: Foundation tier from $849/year for 10 workloads
Standout feature: Immutable backups with one-click recovery

6. Tenable Nessus – Best for Vulnerability Scanning

You cannot protect what you cannot see. Tenable Nessus scans your entire network infrastructure — servers, endpoints, cloud assets, and applications — to identify vulnerabilities before attackers can exploit them. In 2026, continuous vulnerability scanning is considered a baseline requirement for cyber insurance coverage.

Best for: IT teams managing multiple systems; compliance requirements
Pricing: Nessus Professional from $4,708/year; Essentials free for up to 16 IPs
Standout feature: Covers 47,000+ vulnerabilities with guided remediation steps

7. Microsoft Defender for Business – Best Value All-in-One

For small businesses running Microsoft 365, Defender for Business provides a surprisingly capable security suite at minimal additional cost. It covers endpoint protection, threat and vulnerability management, attack surface reduction, and automated investigation and response — all managed from a single console.

Best for: Small businesses on Microsoft 365
Pricing: $3/user/month standalone; included in Microsoft 365 Business Premium ($22/user/month)
Standout feature: Built-in integration with all Microsoft 365 apps and Azure AD

Building a Layered Security Strategy

No single tool provides complete protection. The most effective approach combines tools that address different attack vectors: endpoint protection (CrowdStrike or Defender), network security (Cloudflare Zero Trust), email filtering (Proofpoint), credential management (1Password), and backup and recovery (Veeam).

For most small businesses, starting with three tools provides the strongest foundation: a password manager (1Password), email security (Proofpoint Essentials), and endpoint protection (Microsoft Defender for Business if on Microsoft 365, or CrowdStrike Falcon Go otherwise). These three alone address the most common attack vectors at a combined cost well under $20 per user per month.

Cybersecurity and Compliance in 2026

Beyond protecting against attacks, cybersecurity tools now play a direct role in regulatory compliance. GDPR, India's DPDP Act, SOC 2, ISO 27001, and cyber insurance requirements all mandate documented security controls. The tools listed above generate the audit logs, vulnerability reports, and access controls that compliance frameworks require.

Investing in cybersecurity is no longer just about avoiding a breach — it is increasingly a requirement for doing business with enterprise customers and maintaining cyber insurance coverage at reasonable premiums.

The Cost of Doing Nothing

The average ransomware payment in 2026 exceeds $2.7 million. Recovery costs — including downtime, data restoration, reputational damage, and legal liability — typically far exceed the ransom itself. A comprehensive cybersecurity stack for a 20-person business costs less than $1,000 per month. The insurance value alone justifies the investment many times over.

Start with the basics, layer in additional controls as your business grows, and treat cybersecurity as an ongoing programme rather than a one-time purchase.

AWS vs Azure vs Google Cloud in 2026: Which Cloud Platform is Right for Your Business?

Choosing the right cloud platform in 2026 is one of the most consequential decisions a business can make. AWS, Microsoft Azure, and Google Cloud collectively control over 65% of the global cloud market — but they are not interchangeable. Each has distinct strengths, pricing models, and ideal use cases.

This guide cuts through the marketing noise and gives you an honest, practical comparison based on what matters most to businesses in 2026: performance, pricing, AI capabilities, security, and ease of use.

The Cloud Market in 2026: Where Things Stand

Amazon Web Services (AWS) remains the market leader with approximately 31% market share, followed by Microsoft Azure at 25%, and Google Cloud at 11%. However, market share alone doesn't tell the full story. Google Cloud has been the fastest-growing of the three for the past three consecutive years, largely driven by its AI and data analytics capabilities. Azure has cemented its position in enterprise and hybrid environments, while AWS continues to lead on breadth of services and global infrastructure.

AWS: The Everything Store of Cloud

Amazon Web Services launched in 2006 and has spent nearly two decades building the most comprehensive cloud portfolio in existence. With over 200 fully featured services spanning compute, storage, networking, AI, IoT, and more, AWS is the default choice for businesses that want maximum flexibility.

AWS Strengths in 2026

Widest service catalogue: No other provider comes close to AWS's breadth. Whether you need a niche database, a specialised machine learning chip, or a fully managed contact centre, AWS has a service for it.

Global infrastructure: AWS operates 33 launched regions and 105 Availability Zones worldwide — more than any competitor. For businesses with strict data residency requirements, this matters enormously.

Mature ecosystem: The AWS Marketplace has over 12,000 software listings. The talent pool of AWS-certified professionals is larger than Azure and Google Cloud combined.

Best for startups: AWS Activate provides up to $100,000 in credits for eligible startups. The AWS Free Tier is genuinely generous for early-stage experimentation.

AWS Weaknesses

Complexity and cost management: With great breadth comes great complexity. AWS bills are notoriously difficult to predict and optimise. Tools like AWS Cost Explorer help, but many businesses still face bill shock.

AI/ML catching up: While AWS has powerful ML services (SageMaker, Bedrock), it is playing catch-up to Google Cloud in foundational AI research and to Azure in enterprise AI integrations.

Best for: Startups, e-commerce, media streaming, companies needing maximum service variety, and any business where flexibility is the top priority.

Microsoft Azure: The Enterprise Standard

Azure launched in 2010 and has grown primarily by leveraging Microsoft's existing enterprise relationships. If your business already runs Windows Server, Active Directory, Microsoft 365, or SQL Server, Azure is designed to extend those investments into the cloud with minimal friction.

Azure Strengths in 2026

Microsoft ecosystem integration: Azure Active Directory, Teams, SharePoint, Dynamics 365, and the entire Microsoft 365 suite integrate seamlessly with Azure. For enterprises already in the Microsoft ecosystem, this creates genuine productivity gains rather than theoretical ones.

Hybrid cloud leadership: Azure Arc allows businesses to manage on-premises, multi-cloud, and edge environments from a single control plane. No competitor matches Azure's hybrid capabilities in 2026.

OpenAI partnership: Azure has exclusive enterprise access to OpenAI's models (GPT-4o, o3, and newer releases). Azure OpenAI Service is now the standard for enterprises deploying large language models in production.

Compliance and government: Azure has the most comprehensive compliance certifications of any cloud provider — over 100 certifications including FedRAMP High, DoD IL5, and HIPAA. It operates dedicated government clouds in the US, Germany, and China.

Azure Weaknesses

Support and documentation: Azure's documentation and support experience has historically lagged behind AWS. Pricing documentation in particular can be opaque.

Linux workloads: While Azure fully supports Linux, AWS has a longer track record for Linux-native, open-source workloads.

Best for: Enterprises running Microsoft workloads, government and regulated industries, businesses needing hybrid cloud, and organisations deploying OpenAI-powered applications.

Google Cloud: The AI-First Platform

Google Cloud Platform (GCP) has transformed its positioning significantly since 2021. It is no longer simply "the third option" — it is the clear leader in AI infrastructure, data analytics, and Kubernetes-native workloads. Businesses building AI-first applications in 2026 increasingly start their cloud evaluation with Google Cloud.

Google Cloud Strengths in 2026

AI and machine learning: Google's Tensor Processing Units (TPUs), Vertex AI platform, and access to Gemini Ultra models give Google Cloud a genuine technical edge in AI workloads. If you are training large models or running inference at scale, GCP's AI infrastructure is unmatched.

Data analytics: BigQuery remains the industry benchmark for serverless data warehousing. Looker (acquired by Google) and the broader Google data stack provide end-to-end analytics capabilities that neither AWS nor Azure can match out of the box.

Kubernetes and containers: Google invented Kubernetes, and Google Kubernetes Engine (GKE) is the gold standard for managed Kubernetes. Businesses running containerised workloads at scale consistently rank GKE ahead of EKS and AKS.

Networking: Google's private global fibre network is a real competitive advantage. Applications hosted on GCP benefit from Google's backbone infrastructure — the same network that powers Search, YouTube, and Gmail.

Google Cloud Weaknesses

Smaller service catalogue: GCP has fewer services than AWS. For niche use cases outside of AI, data, and containers, you may hit gaps.

Enterprise sales and support: Google Cloud has historically been less aggressive in enterprise sales relationships. AWS and Azure have larger field sales teams and more established enterprise support programmes.

Best for: AI/ML-first applications, data analytics, containerised workloads, media and gaming, and businesses that prioritise network performance and open-source tooling.

Side-by-Side Comparison: AWS vs Azure vs Google Cloud

Pricing model: All three use pay-as-you-go with committed use discounts. Google Cloud's sustained use discounts are automatic (no upfront commitment required), which is a genuine advantage for variable workloads. AWS Reserved Instances and Azure Reserved VM Instances require 1–3 year commitments for the best rates.

Free tiers: All three offer free tiers. AWS's is the most generous for compute (750 hours of EC2 t2.micro/month for 12 months). Google Cloud offers always-free tiers on several services including Cloud Functions and BigQuery (up to 10 GB storage free, always).

Support plans: AWS Business Support starts at $100/month or 10% of monthly usage (whichever is greater). Azure Standard Support starts at $300/month. Google Cloud Enhanced Support starts at $500/month. All three offer higher tiers with dedicated technical account managers.

Multi-Cloud Strategy: Do You Need More Than One?

A growing number of enterprises in 2026 run workloads across two or more cloud providers. The motivations include avoiding vendor lock-in, accessing best-of-breed services (e.g., BigQuery on GCP + Azure OpenAI Service), meeting data sovereignty requirements, and negotiating better pricing by maintaining optionality.

However, multi-cloud adds operational complexity. You need teams skilled across multiple platforms, and tooling like Terraform, Kubernetes, and cloud-agnostic monitoring solutions become essential. For small and mid-sized businesses, a single cloud provider is almost always the right starting point.

How to Choose: A Simple Decision Framework

Start with your existing technology stack. If you run Windows workloads and Microsoft software, Azure will have the lowest migration friction and the richest integrations. If you are building a new application from scratch, AWS gives you the most service choices and the largest talent pool. If your business is AI-native or data-heavy, Google Cloud's specialised infrastructure will deliver better performance per dollar for those specific workloads.

Evaluate your team's skills. The easiest cloud to use is the one your team already knows. AWS certifications are the most common, so hiring is easier. Azure certifications are increasingly required in enterprise IT roles. Google Cloud certifications are valued highly in data engineering and AI/ML roles.

Run a proof of concept before committing. All three providers offer credits for evaluation. AWS Activate, the Microsoft for Startups programme, and Google for Startups each provide meaningful credits — often $25,000 to $200,000 — that allow you to test real workloads before signing contracts.

The Bottom Line

There is no universally "best" cloud platform in 2026. AWS wins on breadth and flexibility, Azure wins on enterprise integration and hybrid cloud, and Google Cloud wins on AI infrastructure and data analytics. The right answer depends entirely on your workloads, your team, and your existing technology investments.

What is clear is that all three platforms have reached a level of maturity where reliability, security, and core compute services are essentially commoditised. The differentiation now lives at the edges — in AI capabilities, ecosystem integrations, specialised hardware, and pricing flexibility. Choose the cloud that aligns with where your business is going, not just where it is today.

Best AI Tools for Small Businesses in 2026

Artificial intelligence is no longer a luxury reserved for large enterprises. In 2026, AI tools for small businesses have become affordable, accessible, and genuinely transformative. Whether you run a retail store, a consulting firm, or an online service, there is an AI tool that can save you hours every week and help you compete with companies ten times your size.

This guide covers the best AI tools available right now, what they cost, and exactly how a small business can use them to grow faster.

Why Small Businesses Need AI Tools in 2026

The business landscape has shifted dramatically. Your competitors are already using AI to automate customer support, generate marketing content, analyse sales data, and optimise operations. Small businesses that ignore AI risk falling behind not just on efficiency, but on customer experience and speed.

The good news: most of the best AI tools today offer free tiers or plans starting under $30 per month — well within reach for any small business budget.

Best AI Tools for Small Businesses in 2026

1. ChatGPT (OpenAI) – Best for Content and Customer Communication

OpenAI's ChatGPT remains the gold standard for text-based AI tasks in 2026. Small businesses use it to draft emails, write product descriptions, create social media posts, generate blog content, and even handle first-level customer queries through API integrations.

Best for: Content creation, email drafting, FAQ generation
Pricing: Free tier available; Plus plan at $20/month
Standout feature: GPT-4o handles text, images, and voice in a single interface

2. Gemini for Google Workspace – Best for Productivity Integration

If your business already runs on Google Workspace (Gmail, Docs, Sheets, Meet), Gemini is deeply embedded into every tool. It can summarise long email threads, draft replies, analyse spreadsheet data, and generate slides — all without leaving your existing workflow.

Best for: Teams using Google Workspace
Pricing: Included with Google Workspace Business plans from $12/user/month
Standout feature: Native integration means zero context switching

3. Jasper AI – Best for Marketing Teams

Jasper is purpose-built for marketing content. Small businesses use it to produce blog posts, ad copy, landing pages, and product descriptions at scale. It supports brand voice customisation, meaning all content stays consistent with your tone.

Best for: Marketing content, ad copy, SEO writing
Pricing: Creator plan from $39/month
Standout feature: 50+ templates for every marketing format

4. Notion AI – Best for Knowledge Management

Notion AI turns your company wiki, project notes, and meeting records into a searchable intelligence layer. Ask it questions about your own documentation and it surfaces relevant answers instantly. For small teams managing complex projects, this eliminates hours of searching.

Best for: Project management, internal wikis, meeting notes
Pricing: AI add-on at $8/member/month
Standout feature: AI that understands your own company's data

5. HubSpot AI – Best for Sales and CRM

HubSpot's AI features are now embedded throughout its CRM, email marketing, and sales pipeline tools. It predicts deal close probability, writes personalised outreach emails, and generates reports automatically. For small businesses managing a sales funnel, this is a major time saver.

Best for: Sales automation, CRM, email marketing
Pricing: Free CRM with AI features; Starter plans from $20/month
Standout feature: AI-powered lead scoring out of the box

6. Canva AI – Best for Design Without a Designer

Canva's Magic Studio brings AI-powered design to any small business owner. Generate images from text prompts, resize designs automatically for different platforms, remove backgrounds instantly, and animate graphics — no design skills required.

Best for: Social media graphics, presentations, marketing materials
Pricing: Free tier available; Pro at $15/month
Standout feature: Text-to-image generation and AI video creation

7. Tidio AI – Best for Customer Support Automation

Tidio's Lyro AI chatbot handles up to 70% of customer queries automatically. It is trained on your website content and product information, meaning it gives accurate, contextual answers 24/7. Small e-commerce businesses in particular see dramatic reductions in support ticket volume.

Best for: E-commerce, customer support, lead capture
Pricing: Free tier; paid plans from $29/month
Standout feature: Lyro AI resolves complex queries without human intervention

8. QuickBooks AI – Best for Financial Management

QuickBooks has integrated AI deeply into its accounting platform. It categorises transactions automatically, flags unusual expenses, predicts cash flow issues weeks in advance, and generates tax-ready reports. For small business owners who struggle with bookkeeping, this is transformative.

Best for: Accounting, invoicing, tax preparation
Pricing: Simple Start from $18/month
Standout feature: Cash flow forecasting with AI-driven alerts

How to Choose the Right AI Tool for Your Business

With so many options available, the key is to start with your biggest pain point. Ask yourself: where does my team spend the most time on repetitive tasks? That is where AI will deliver the fastest return on investment.

For most small businesses, the highest-impact starting points are content creation (ChatGPT or Jasper), customer support automation (Tidio), and workflow productivity (Notion AI or Gemini). Start with one tool, measure the time savings over 30 days, and expand from there.

The Cost of Not Using AI in 2026

A small business owner spending 3 hours a day on tasks that AI can handle in 20 minutes is effectively working at a disadvantage that compounds over time. Competitors who adopt AI tools free up those hours for strategy, customer relationships, and growth — the activities that actually build businesses.

The investment is small. The opportunity cost of waiting is not.

Getting Started Today

Every tool on this list offers a free trial or free tier. The practical recommendation is to sign up for ChatGPT (free), Canva (free), and either Tidio or HubSpot (both have free plans) this week. Spend one hour exploring each. You will quickly identify which ones fit your workflow and deliver the most value for your specific business.

AI adoption does not require a large budget or a technical team. It requires the decision to start.

Thursday, November 15, 2018

Network Monitoring with Open-source Tools


Open Network Monitoring System (OpenNMS) is a service-grade, enormously integrated, open source platform designed for building network monitoring solutions. There are two distributions of OpenNMS: Meridian and Horizon.

Meridian is advisable for organizations and businesses looking out for stability and long-term support. Horizon is suggested for quick innovations and is right for monitoring new technologies and IT ecosystems. Both distributions are completely open-source.

Network monitoring is vital to keep computer networks and programs secure from the various cyber attacks that are so common in recent times. This article presents the purpose for network monitoring, along with a few select open source network monitoring tools.

Network monitoring is used to maintain an eagle’s eye on different computer networks, looking out for sluggish and failing components. It is pretty essential, specifically in case of sudden outages and other troubles. Network monitoring is taken into consideration as to be part of network control. Enterprise networks must cope with large data sets being accessed by various devices. Such networks should provide a reliable and fast service that doesn't add too much value to the business.

The demand for open source software tools continues to grow and network management tools have ridden that wave. Instead of spending a small fortune purchasing software tools which might or might not do what you need, look out for a free open source tool to monitor, configure and map your networked devices.

Basic goals of network monitoring

There are 3 fundamental goals for network monitoring, which cover three functional areas for network management, based on the Open Systems Interconnection (OSI) model.



1. Performance Monitoring

This arrangements with estimating the execution of a system. There are multiple measurable parameters in a network. But from the list of parameters, relevant ones should be selected from the business value and performance perspective. Such parameters to be measured are known as a network since they indicate the performance attributes of the network.
  

2. Fault Monitoring

This arrangements with identifying the issues or issues in the system.. It covers the special layers of the network because a problem can arise in any one of them. It requires establishing the ‘normal’ traits for the network. There are always a few errors inside the network, however, this does not imply that the network has persistent problems.

3. Account Monitoring

This deals with how any person makes use of a specific network. The network keeps a record of all of the devices on it, which are utilized by people and additionally how often they are used. This sort of records is normally used for billing users for network usage and also for predicting future network utilization.

Different Open-source Tools used for Network Monitoring

Not only are there free and open source network monitoring solutions available, but the options are also diverse and abundant. Below, I’ve mentioned a few of the most popular free network monitoring software:
  1. Nagios
  2. Zabbix
  3. Incinga
  4. Libre NMS
  5. Pandora FMS
While it is conceivable to physically screen a system (contingent upon the measure of the system and how basic the assets on the system are), you will presumably be in an ideal situation utilizing apparatuses particularly intended for such a reason.

IBM® Network Performance Insight software tool to view and configure the performance analysis reports for a network

Network Performance Insight is a Dashboard Application Services Hub - based network monitoring tool by IBM that gives you a complete traffic flow and metric data analysis. The movement perception dashboards are rendered from Network Health Dashboard and Device Dashboard after you coordinate with IBM Tivoli® Network Manager IP Edition.

IBM Networks for Operations Insight is an optional feature which can be included in the deployment of the base IBM Netcool Operations Insight solution. The capabilities of Networks for Operations Insight include network discovery, visualization, event correlation and root-cause analysis, and configuration that provide service assurance in dynamic network infrastructures.

What Network Monitoring Tools do you use? Feel free to share your views in the comment section.

Guest Post


Friday, October 26, 2018

5 Reasons to Get a POS System for your Supermarket Business


Supermarkets are frequented by many people on a daily basis. Serving such a huge traffic without a POS (Point of Sale) system can be cumbersome. This is because you may enter some figures incorrectly and end up incurring huge losses. Besides that, doing the math of every sale can keep the customers waiting for too long. However, there are some supermarket businesses that don’t appreciate the importance of using a POS. They regard it as unnecessary expense. On the contrary, a POS is very easy to operate. In fact, you don’t need to have any special skills. The system is also economical because you only buy it once and for all. Here is a comprehensive list of reasons why every supermarket business should get a POS system.

1. Improved Productivity

When your cashiers use a POS system at checkout, they are able to serve more customers as opposed to when they do everything manually. This is due to the fact that the barcode scanner is much faster in reading the prices of items. You only need to hover the scanner’s light beam over the products and it will retrieve their prices. The other advantage is that you don’t have to keep checking your inventory because the system monitors the number of items that are in stock and notifies you when the level is too low so that you can restock. Advanced models even send an alert to your suppliers and vendors.

2. Reliable Source of Information

Any entrepreneur that has tried any of the 3 best supermarket POS systems of 2018 will tell you that they make it easier to manage your business when you are away. If your employees have been reporting to work late when you are not around, the system can help you know the time they started working. This is because the system is connected to an app that’s installed in your phone. The app gives you access to all purchases that are made at the supermarket. Moreover, every receipt indicates the time of transaction and the employee that printed it. You can also know the products that are moving fast out of the shelves.

3. Enhances Customer Relations Management

With a POS, you don’t have to print a receipt for every sale. This is because you can send receipts via email. All you need to do is refer to your customers’ base when processing receipts. Such receipts are usually more convenient because they can be accessed from any location as long as you have a device that’s connected to the internet. You can also use such emails to inform your customers about upcoming offers on various items. It also makes it easy to identify loyal customers.

4. Prevents Human Error

Errors are inevitable when you add the figures manually. Such errors happen because employees are overwhelmed by the number of customers that are waiting to be served. When an error happens, the customer is usually undercharged or overcharged. Using a POS reduces the chances of wrong calculations. This is because the system is very accurate as it can’t use prices that are not in the database of the inventory.

5. Enhances Transparency among Employees

It’s easy for employees to steal from your business when you don’t have a POS system. You will only realize that your inventory is reducing drastically but there is no money in the till to match with the sales that have been made. The problem is that you can’t trace how such items are disappearing from the shelves because your employees have ways of covering their tracks to avoid getting caught. When you have a POS system, employees will not even dare to steal any item because they know you are monitoring the inventory in real time. Every item that’s removed from the shelves has to be accounted for in the system.  

Can you think of any other reason to get a POS System for your business? Please share your reason in the comment section.


Guest Post by Dan