Update: I wrote this article a few weeks ago and was asked about the other free AI model, GWEN, that was recently released. So, I decided to test this one, too, and add it to the list. It's an excellent AI model. Also, for the sake of completeness, I decided to add Microsoft Copilot. So here is the updated list.

No one has talked about artificial intelligence (AI), and now it seems people are talking about little else. We have been actively involved in AI for several years now.

In retail, AI promises to boost sales and reduce operational costs in the POS system. Like everyone else in business, those leveraging AI will stay competitive in a rapidly evolving market. 

Comparison of AI Models

A good leaderboard of what AI models is available here.

But these are not measured on what our clients now use and the problems they encounter. So, to understand the current landscape of AI needs in retail, we compared several leading widely available AI models:

1) DeepSeek

2) Gemini

3) ChatGPT

4) Claude

5) Meta AI Facebook

6) Grok 2

7) GWEN

8) Microsoft Copilot

We tested these models on real-world scenarios that retailers encounter, such as product descriptions, inventory management, customer service, and sales forecasting. We then combined the answers, amended them by hand and came up with answers that we scored 40. We then compared each AI's answer to this score of 40. All of this took us a lot of work.

Our test results showed that Gemini (Google) was the top performer, scoring 39 out of 40. It also offered a comprehensive package with many additional benefits, making it an attractive choice for businesses seeking a robust AI-powered POS system.

Claude excelled in writing capabilities, scoring 37, which makes it most suitable for tasks requiring explicit and engaging content.

ChatGPT and Grok 2 scored 36, demonstrating their ability to handle various tasks effectively. What we liked about Grok 2's answers is that they contained advanced information on items the other AIs did not have. If, for example, a new game came out and you wanted to see what people thought about it, Grok 2 gave the best response. I cannot wait to see Grok 3, which is overdue now.

DeepSeek scored 35 despite being significantly cheaper. It offers impressive performance at a fraction of the cost of other models, making it ideal for businesses requiring API access.

GWEN scored 34, which is a bit lower than Deepseek's, but like Deepseek, it is free. We weren't that impressed with what the AI model could achieve compared to the other models mentioned; it also lacks an API, which could lead to issues in usage.

Microsoft Copilot scored 32, but like Deepseek, it is free and integrates well into Microsoft products that many of my clients use. Again, we weren't impressed with what the AI model could achieve, but if you use Microsoft products, it fits well into the suite. 

However, Meta AI (Facebook) struggled, scoring only 30, but was still included in the assessment due to its potential in specific use cases. Overall, I would not recommend it as your primary AI.

Recommendations

Gemini is likely the best choice if cost is not a concern due to its superior performance and additional features. Google's support and integration capabilities make it an excellent solution for businesses seeking a comprehensive AI-powered system.

However, DeepSeek presents a compelling option for those prioritising cost-effectiveness. At only 2% of the cost of ChatGPT, it delivers nearly comparable results, making it an attractive choice for businesses requiring API access.

Grok 2 is particularly noteworthy, especially with its upcoming update. Its integration with X (Twitter) offers access to a vast source of real-time data, which can be invaluable for businesses that must stay informed about the latest trends and news.

AI in POS Systems: Promises

English and spelling

Not everyone is good at English with AI lousy spelling, and people with bad grammar can communicate in writing better. It also allows them to communicate better with non-English speakers.

Marketing material

AI can be successfully used to write marketing material. A client wanted to create fancy names for their lotto syndicate, so they used AI to help them.

Real-time Predictive Analytics

AI analyses sales data and market trends to forecast demand, helping businesses optimise and prepare for busy seasons. For example, a retailer can use AI to predict a surge in demand. As trends overseas tend to come first before they hit us, they can tell us where the market is going.

Personalised Marketing

AI could provide tailored recommendations and promotions based on customer purchase history and preferences, fostering loyalty and boosting sales.

Dynamic Pricing Optimisation

We like that it can better set prices in real time based on demand. Companies dealing with marketing events often have goods that sell well in that season, but the demand for the product collapses as soon as it's over. We are hoping AI can help us with this, too.

Implementation Challenges

Implementing AI in POS systems can present challenges. The answers are often not as good as they look. They are often wrong, and it's hard to argue with it because they look so right.

The future

It is unclear where the AI market is going. Will consumers want a low-budget or medium-budget, or are they prepared to pay for an expensive system? One company told me they spend $200/month on ChatGPT, which is $2,400 annually. Will the consumer bear that?

The other issue is whether a business needs a car or a truck in AI. In the context of retail POS systems, AI is not just about speed or luxury; it's about finding a solution that can handle the workload efficiently. Businesses need a reliable truck rather than a sports car to carry a heavy load rather than speed.

I am sure there are privacy issues, too. Some AIs are specially built with that in mind. But this all would involve a deeper discussion of data privacy, security, and compliance (such as GDPR or Australian privacy laws) beyond the scope of this post. 

Some industry research shows that over 70% of retailers plan to adopt AI within the next two years. I would not be surprised if it will be closer to 100% in one year, as AI can enhance competitiveness and drive growth.

FAQ: Frequently asked questions

Q: What is the role of AI in POS systems?

A: AI in POS systems promotes boosting operational efficiency.

Q: Which AI models were compared in our tests?

A: The models tested included DeepSeek, Gemini, ChatGPT, Claude, Meta AI (Facebook), and Grok 2. These were evaluated in real-world scenarios such as product descriptions, inventory management, customer service, and sales forecasting.

Q: What were the results of the AI model comparison?

A: Gemini (Google) scored the highest at 39 out of 40, offering a comprehensive package with additional benefits. Claude excelled in writing capabilities, scoring 37. ChatGPT and Grok 2 scored 36, while DeepSeek scored 35 despite being significantly cheaper. Meta AI (Facebook) scored 30.

Q: Which AI model is recommended for businesses with no budget constraints?

A: Gemini is likely the best choice due to its superior performance and additional features. Google's support and integration capabilities make it an excellent solution for comprehensive AI-powered systems.

Q: What about cost-effective options?

A: DeepSeek is a compelling choice for businesses prioritising cost-effectiveness. It offers impressive performance at a fraction of the cost of other models, making it ideal for those requiring API access.

Q: How does AI improve communication in retail?

A: AI helps individuals with limited English proficiency communicate more effectively in writing. It also facilitates better communication with non-English speakers.

Q: Can AI assist with marketing tasks?

A: AI can be used to write marketing material, such as creating product names or promotions. It can also help generate engaging content.

Q: What are the benefits of AI in predictive analytics and personalised marketing?

A: AI analyses sales data and market trends to predict demand, assisting businesses in preparing for peak seasons. It also offers personalised recommendations and promotions based on customers' purchasing history, enhancing loyalty and driving sales.

Q: What challenges are associated with implementing AI in POS systems?

A: Utilising AI can present challenges, such as ensuring the accuracy of AI-generated responses and integrating AI with existing systems. Additionally, although AI responses may seem correct, they can still contain errors.

Q: What does the future hold for AI in retail?

A: The future of AI in retail appears promising, as over 70% of retailers plan to adopt AI within the next two years.

Q: How does the analogy of a "truck" apply to AI in POS systems?

A: In retail POS systems, AI is not just about speed or luxury; it's about finding a solution that can handle the workload efficiently. Businesses need a reliable "truck" rather than a sports car to carry a heavy load effectively.

Q: Are there privacy concerns with AI in POS systems?

A: Yes, very much so. Some AI systems are claimed to be designed with privacy in mind. It remains an essential consideration for businesses implementing AI solutions.

Q: Is a POS system AI?

A: A POS system itself isn’t AI but can be integrated with AI to enhance its capabilities.

Update: The federal and SA governments have blocked access to DeepSeek over its network and directed public servants to stop using and remove it from devices. More details are available here. There are security concerns over the product. 
 

Exciting Hallmark Cards Trial: Enhance Your Retail Experience

As a retail and POS systems expert, I'm thrilled to share information about an innovative trial involving Hallmark Cards and POS Solutions that could benefit your small retail business. This collaboration aims to enhance customer engagement and boost sales by uniquely integrating Hallmark technology into our POS system.

The Hallmark Cards Trial: An Exciting Opportunity

How It Works

When a customer purchases a Hallmark card at your store, our POS System captures the barcode during the sale process. We then trigger the Hallmark system to present an engaging competition on its screen, which offers your customers a chance to win a prize by selecting a card.

You can see what it looks like here.

Benefits for Your Business

Enhanced Customer Experience

This interactive element excites the purchase process, potentially increasing customer satisfaction and loyalty.

Increased Foot Traffic

As word spreads about the competition, more customers may visit your store to participate.

Greeting Card Competition

The competition could encourage additional purchases of Hallmark cards and other products in your store.

Costs

No cost. Registration is free.

Trial Locations and Requirements

Your stthat it is must already sell Hallmark cards to be eligible.

We are currently seeking participants in Melbourne and metropolitan New South Wales. NSW offers more flexibility than Victoria. Once we have settled in, we will expand the area.

Why Consider Participating?

Retail Innovation

By participating in this trial, you're positioning your business at the forefront of retail innovation.

Gather Valuable Data

The trial will provide free insights into customer behaviour and preferences, which could help you in future business decisions.

Strengthen Partnerships

We hope collaborating with established brands like Hallmark will open doors for future opportunities and partnerships.

Final Decision by Hallmark Cards

While expressing interest is the first step, Hallmark Cards will ultimately decide whether your store is accepted for the trial. Even if you meet the initial criteria, Hallmark will have the final say in selecting the trial participants.

Next Steps

If you want to participate in this exciting trial, please act quickly. Here's what you can do:

Assess Your Eligibility

Confirm that your store is in Melbourne or metro NSW and that you sell Hallmark cards.

Contact POS Solutions

Reach out to express your interest and ask to be put on the trial

Please understand that the selection process is by Hallmark, which reviews all potential participants.

The trial offers a unique chance to enhance your POS System capabilities and customer engagement at no cost.

It's an opportunity to test innovative retail technology that could give your store a competitive edge by offering a unique experience.

Frequently Asked Questions (FAQ)

Q: How much does it cost to join the trial?
A: Nothing

Q: What equipment is needed to participate?
A: You'll need our POS system. Our team will work with you to ensure your current system can integrate with the Hallmark technology.

Q: Will this slow down my checkout process?
A: The system is designed to be quick and efficient. I doubt it will add any time to a typical transaction.

Q: How will this affect my existing Hallmark card sales?
A: The trial aims to boost engagement and potentially increase sales.

Q: Can I opt out of the trial if, for any reason, it is not working?
A: Yes, you can opt-out at any time. We value your feedback and will work with you to address any concerns.

Q: How will my customer data be handled?
A: It will not be, and in any case, all customer data is handled in compliance with Australian privacy laws.

Q: Will I receive training on how to use the new system?
A: Yes. We provide comprehensive training for you and your staff before the trial begins.

Q: What happens after the trial ends?
A: Based on the trial's success, we hope it continues and that they expand the program.

Update: When this was first published, as it was new, we did not know if there were any costs to join the program; we have received confirmation that there is no cost. The article was updated.

​

Economic Order Quantity(EOQ): A Deep Dive into the Science of Inventory Management

Over many years, I've seen firsthand how crucial effective inventory management can be. One tool that started the science of modern inventory management is the Economic Order Quantity (EOQ) formula. Since I received an enquiry about it last week, I thought I would explore the concept and show how it can benefit retailers.

The Origins of EOQ

A bit of history: in 1913, a mathematician named Ford W. Harris was pondering a theoretical shop stock control. He wasn't thinking about colourful products or bustling aisles. Instead, Harris was fixated on a more fundamental question: How often should a shop order its stock to keep costs down and do inventory optimization?

He derived his formula called EOQ, and modern inventory management was born.

Breaking Down the EOQ Formula

The formula he derived is this:

EOQ = Sqr(2 x D x K / h)

Where:

• D = is how much you sell in a period.
• K = Cost per order
• h = Holding cost per unit (how much it costs you to have the stock sit in your shop for a period)

Generally, it's over a year, so let's break this down with a real-world example and see what it can tell us.

A Real-World Example: The Stationery Shop

So I took a stationery shop that uses our POS System. Here's how we would use the EOQ formula to find how many times we should order to give us the best profit.

Annual Demand (D)

It sold 60,575 items last year in the shop. That's a lot of pens and paper!

Cost per Order (K)

I asked the woman who was in charge of the stationery order, and she told me that each order there was about

• 3 hours to place an order @ $25/hour
• 4 hours to pick up the order @ $25/hour
• $10 for petrol
• $20 for delivery fees

Total: $205 per order

Annual Holding Cost per Unit (h)

This is where things got eye-opening. We included:

• Bank fees and overdraft: 2.5%
• Shrinkage (a polite way of saying 'theft'): 1.5%
• Portion of rent: $15,000 a year
• Other costs from profit and loss: $10,000

When we crunched the numbers, it came to $1.08 per item per year. That's a lot if you think about it.

Let us do the calculation.

Now we have the figures, let us calculate the following:

EOQ = √[(2 x 60,575 x 205) / 1.08]

Let's break down the calculation step by step:

1. First, multiply 2 x 60,575 x 205 = 24,835,750
2. Then, divide this by 1.08: 24,835,750 / 1.08 = 23,014,583.33
3. Finally, take the square root: √23,014,583.33 = 4,797.35

Rounding to the nearest whole number, we get 4,797. That is a lot of ordering. 

Interpreting the Results

When we plugged all this into our EOQ formula, it suggested ordering 4,779 times a year. That's many times every day!

I don't know about you, but I've never met a retailer who wants to place orders daily. It's just not practical.

Practical Tips from EOQ

While the EOQ formula does not here give you a perfect ordering schedule, it does highlight some crucial points:

1. Holding stock is expensive: $1.08 per item per year adds up quickly. Our total inventory of 60,575 items is $65,421 annually, just in holding costs!

2. Frequent, smaller orders can be cost-effective. This approach aligns with many successful retailers' formula of order to do its' "little and often" philosophy. 

3. One size doesn't fit all: What works for our stationery shop might not work for a pet shop or a newsagency. 

How do you derive your figures using POS Solutions?

Calculating a simple EOQ requires three variables, which I will discuss point by point, quoting two departments as an example for you to work with as an example of stationery that I used above.

The demand quantity (D)

This is the quantity of goods moved.

There are two ways of doing this: the top sales report will give you this figure.

Cost of ordering (K)

I just asked about the procedure used in the shop and then costed it.

Holding costs (h)

Your profit and loss will help you here. If you are doing it by department, take a reasonable percentage of the total costs. 

I got the average stock holding to calculate my holding costs. So I went to the stock turn report in the stock reports. 

The Bottom Line

Executive summary

Here are some practical tips:

1. Calculate your holding costs: You might be surprised at what you find. Include all inventory costs, such as warehouse space, insurance, and potential depreciation. Your profit and loss will tell you most of this.

2. Review your ordering process: Write a typical order scenario in your shop. While doing so, I suggest you streamline this process to reduce costs. Maybe bulk ordering certain items could lead to discounts that offset increased holding costs. 

3. Consider a mix of strategies: Perhaps you should place frequent orders for fast-moving items and less frequent orders for others. Use EOQ as a starting point, but adjust based on your business's unique needs.

4. Use technology to your advantage: Our POS system can help you track inventory and make smarter ordering decisions frequently and accurately.

EOQ does not offer a flawless ordering plan. It indeed confirms certain crucial aspects of inventory management. 

Over the years in retail, I've seen that the most prosperous retailers use data and their gut feelings. So, while you should crunch the numbers, don't discount the value of your gut feelings.

Frequently Asked Questions (FAQ)

What is Economic Order Quantity (EOQ)?

Economic Order Quantity is an analytics formula for determining the optimal number of times to order stock to maximize profit.

How is EOQ calculated?

The EOQ formula is: EOQ = √[(2 x D x S) / H], where D is annual demand, S is setup cost per order, and H is holding cost per unit per year.

What are the benefits of using EOQ?

EOQ is a theoretical construction that helps balance ordering and holding costs, minimise total inventory costs, and optimize stock levels.

Can EOQ be used with seasonal products?

Probably not. EOQ becomes less effective if, over some time, you have fluctuating demand.

What's the difference between EOQ and reorder point?

EOQ determines the best number of times to order, while the reorder point is an inventory management system that concerns inventory levels. The EOQ may help you to derive this reorder point.

How can I implement EOQ in my business?

Your profit and loss statement and your POS System will give you the information you need to calculate your shop's EOQ. If you do so, please let me know what you get.