IT Retail

Point of Sale For every Grocer

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About IT Retail
IT Retail is an affordable cloud-based POS that is built specifically for small grocery stores and convenience stores. We offer powerful analytics and custom tools that give grocers the power to make changes and view sales from anywhere. Get a demo of IT Retail today to unde...
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IT Retail
Point of Sale For every Grocer
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3 Questions
Here are some of the best inventory management software for small businesses. 1. Zoho Inventory (Popular) 2. Orderhive (Most Powerful) 3. Ordoro (Most versatile) 4. Fishbowl (Best for QuickBook users) 5. Veeqo (Most user-friendly inventory software) 7. Unleashed (Best for businesses with multiple locations) 8. InFlow (Honorable mention) 9. Cin7 (Honorable mention) 10. Tradegecko (Honorable mention) I hope my answer is useful.
Here are some of the best inventory management software for small businesses. 1. Zoho Inventory (Popular) 2. Orderhive (Most Powerful) 3. Ordoro (Most versatile) 4. Fishbowl (Best for QuickBook users) 5. Veeqo (Most user-friendly inventory software) 7. Unleashed (Best for businesses with multiple locations) 8. InFlow (Honorable mention) 9. Cin7 (Honorable mention) 10. Tradegecko (Honorable mention) I hope my answer is useful.

Here are some of the best inventory management software for small businesses.

1. Zoho Inventory (Popular)

2. Orderhive (Most Powerful)

3. Ordoro (Most versatile)

4. Fishbowl (Best for QuickBook users)

5. Veeqo (Most user-friendly inventory software)

7. Unleashed (Best for businesses with multiple locations)

8. InFlow (Honorable mention)

9. Cin7 (Honorable mention)

10. Tradegecko (Honorable mention)

I hope my answer is useful.

Research has revealed that the AI chatbot market is expected to expand significantly from $703.3 million in 2016 to $3,172.0 million by 2021. Chatbots are widely adopted across various companies right from the Fortune 500 to upcoming startups, to gain pace and efficiency. The evolving chatbot trend is an integration of Artificial Intelligence and Machine Learning concepts, which makes it crucial for businesses to implement it. Hence, implementing a chatbot to a business enhances customer engagement and makes tasks effortless.A CNBC report suggests that implementing chatbots will help businesses save more than $8 billion per year by 2022.With a significant innovation potential, some of the best transformations carried out by AI chatbots in 2020 are listed below:Making TransactionsChatbots are making its way beyond customer service experience and directly impacting a company’s revenue by implementing payment options. The user needs to type“Pay phone bill” on their smartphones, and the chatbot would lead the conversation to the final payment. When a user initiates a payment request, the bot will send an API request and return the payment link to proceed with payment. In 2020, it is believed that businesses will witness more bots combined with Paypal, digital wallets, and other payment gateways to make payments. The chatbots integration with the payment infrastructure provides enough data that allows businesses to promote conversation-driven upselling to users. Moreover, it also manages transaction data, payment confirmation, expense records, and various other crucial processes which leads to high user trust and retention.Voice BotsAn article suggests that more than 50% of all searches will be voice-driven by 2020. It has also been found that digital consumers prefer messaging platforms that have a voice and text-based interfaces. The aim is to deliver users with an effortless experience by voice-driven chatbots. Conversational bots utilize AI techniques and are capable of assisting over both text or voice. It can be assumed that the capabilities of these bots will only increase with time thereby increasing human dependence on them.Chatbots With Human TouchChatbots are expanding at an unprecedented rate, and also its market share is evolving. Today, chatbots can perform various tasks, such as suggesting options, along with answering questions. In short, chatbots can be more human because it will keep the users engaged by driving the conversation forward rather than breaking it. AI-driven chatbots are assumed to mimic social conversation and identify the intent behind the text that the user types. Later, the chatbot delivers a response that accurately matches the query typed. It is said that in 2020, AI integrated chatbots will prepare customer service agents for high impact conversations.Chatbots With Emotional IntelligenceEmotional intelligence is an understanding of human emotions from a conversation and responding to them accordingly. Emotional Quotient is the use of AI facial feature detection tools to analyze how a person is feeling, and Emotional Intelligence in AI identifies speech and text. When a chatbot detects what a user has typed, it automatically extracts information and tries to understand their mood to know if the user is angry, sad, or happy. With the advancement in technology, chatbots will also be monitoring punctuation and capitalization to predict the user's emotions. Moreover, it is anticipated that companies are planning to create bots with emotional intelligence to drive soft skills to businesses, creating a profound impact on customer interaction.Chatbots based on Natural Language ProcessingNatural Language Processing integrated chatbots will be helpful for the companies offering customer service scenarios. NLP analyzes the intent of the user’s input and generates responses according to them. NLP has the power to understand past conversations and improve the ability to deliver relevant answers. Reports reveal that the Royal Bank of Scotland is already using NLP in their chatbots to enhance customer experience through text analysis. In 2020, businesses can witness more developers working on the methods to train their bots to carry out multiple interactions and conversations.Analytics and Insights with ChatbotAny organization can track, extract, or analyze data with the help of analytics. This information further helps in understanding the prospect’s requirements and accordingly changing strategies and products. Chatbots also aggregate vast amounts of data and maintain the record of every question asked, answer delivered, and query assigned through to agents. These processes help businesses to enhance their progress and understand the consumer mindset continuously. The chatbot analytics and insights help the companies to accurately track and gauge key search terms, preferences, satisfaction, and customer relationships.Self-Learning ChatbotsFor any organization to stay ahead in the race, it is crucial to train bots with the latest data and keep them updated. In 2020, it can be expected by the companies to create self-learning chatbots that will help them by saving lots of their time feeding new data to bots. The bots will analyze the customer’s behavior pattern in every interaction and train themselves to maintain customer engagement. Hence, the chatbots will learn to enhance their response capabilities based on user feedback.Social Media ChatbotsCurrently, social media is the most reliable digital marketing medium. Users generally spend most of their time on social media voicing opinions, ordering products & services, writing reviews, and even getting in touch with online businesses. Hence, it becomes essential for companies to implement chatbots to facilitate customer interaction on these platforms..Final WordsHence, all the points mentioned above clearly depicts different ways in which AI chatbots will transform the retail industry in 2020.
Research has revealed that the AI chatbot market is expected to expand significantly from $703.3 million in 2016 to $3,172.0 million by 2021. Chatbots are widely adopted across various companies right from the Fortune 500 to upcoming startups, to gain pace and efficiency. The evolving chatbot trend is an integration of Artificial Intelligence and Machine Learning concepts, which makes it crucial for businesses to implement it. Hence, implementing a chatbot to a business enhances customer engagement and makes tasks effortless.A CNBC report suggests that implementing chatbots will help businesses save more than $8 billion per year by 2022.With a significant innovation potential, some of the best transformations carried out by AI chatbots in 2020 are listed below:Making TransactionsChatbots are making its way beyond customer service experience and directly impacting a company’s revenue by implementing payment options. The user needs to type“Pay phone bill” on their smartphones, and the chatbot would lead the conversation to the final payment. When a user initiates a payment request, the bot will send an API request and return the payment link to proceed with payment. In 2020, it is believed that businesses will witness more bots combined with Paypal, digital wallets, and other payment gateways to make payments. The chatbots integration with the payment infrastructure provides enough data that allows businesses to promote conversation-driven upselling to users. Moreover, it also manages transaction data, payment confirmation, expense records, and various other crucial processes which leads to high user trust and retention.Voice BotsAn article suggests that more than 50% of all searches will be voice-driven by 2020. It has also been found that digital consumers prefer messaging platforms that have a voice and text-based interfaces. The aim is to deliver users with an effortless experience by voice-driven chatbots. Conversational bots utilize AI techniques and are capable of assisting over both text or voice. It can be assumed that the capabilities of these bots will only increase with time thereby increasing human dependence on them.Chatbots With Human TouchChatbots are expanding at an unprecedented rate, and also its market share is evolving. Today, chatbots can perform various tasks, such as suggesting options, along with answering questions. In short, chatbots can be more human because it will keep the users engaged by driving the conversation forward rather than breaking it. AI-driven chatbots are assumed to mimic social conversation and identify the intent behind the text that the user types. Later, the chatbot delivers a response that accurately matches the query typed. It is said that in 2020, AI integrated chatbots will prepare customer service agents for high impact conversations.Chatbots With Emotional IntelligenceEmotional intelligence is an understanding of human emotions from a conversation and responding to them accordingly. Emotional Quotient is the use of AI facial feature detection tools to analyze how a person is feeling, and Emotional Intelligence in AI identifies speech and text. When a chatbot detects what a user has typed, it automatically extracts information and tries to understand their mood to know if the user is angry, sad, or happy. With the advancement in technology, chatbots will also be monitoring punctuation and capitalization to predict the user's emotions. Moreover, it is anticipated that companies are planning to create bots with emotional intelligence to drive soft skills to businesses, creating a profound impact on customer interaction.Chatbots based on Natural Language ProcessingNatural Language Processing integrated chatbots will be helpful for the companies offering customer service scenarios. NLP analyzes the intent of the user’s input and generates responses according to them. NLP has the power to understand past conversations and improve the ability to deliver relevant answers. Reports reveal that the Royal Bank of Scotland is already using NLP in their chatbots to enhance customer experience through text analysis. In 2020, businesses can witness more developers working on the methods to train their bots to carry out multiple interactions and conversations.Analytics and Insights with ChatbotAny organization can track, extract, or analyze data with the help of analytics. This information further helps in understanding the prospect’s requirements and accordingly changing strategies and products. Chatbots also aggregate vast amounts of data and maintain the record of every question asked, answer delivered, and query assigned through to agents. These processes help businesses to enhance their progress and understand the consumer mindset continuously. The chatbot analytics and insights help the companies to accurately track and gauge key search terms, preferences, satisfaction, and customer relationships.Self-Learning ChatbotsFor any organization to stay ahead in the race, it is crucial to train bots with the latest data and keep them updated. In 2020, it can be expected by the companies to create self-learning chatbots that will help them by saving lots of their time feeding new data to bots. The bots will analyze the customer’s behavior pattern in every interaction and train themselves to maintain customer engagement. Hence, the chatbots will learn to enhance their response capabilities based on user feedback.Social Media ChatbotsCurrently, social media is the most reliable digital marketing medium. Users generally spend most of their time on social media voicing opinions, ordering products & services, writing reviews, and even getting in touch with online businesses. Hence, it becomes essential for companies to implement chatbots to facilitate customer interaction on these platforms..Final WordsHence, all the points mentioned above clearly depicts different ways in which AI chatbots will transform the retail industry in 2020.

Research has revealed that the AI chatbot market is expected to expand significantly from $703.3 million in 2016 to $3,172.0 million by 2021. Chatbots are widely adopted across various companies right from the Fortune 500 to upcoming startups, to gain pace and efficiency. The evolving chatbot trend is an integration of Artificial Intelligence and Machine Learning concepts, which makes it crucial for businesses to implement it. Hence, implementing a chatbot to a business enhances customer engagement and makes tasks effortless.

A CNBC report suggests that implementing chatbots will help businesses save more than $8 billion per year by 2022.

With a significant innovation potential, some of the best transformations carried out by AI chatbots in 2020 are listed below:

Making Transactions

Chatbots are making its way beyond customer service experience and directly impacting a company’s revenue by implementing payment options. The user needs to type“Pay phone bill” on their smartphones, and the chatbot would lead the conversation to the final payment. When a user initiates a payment request, the bot will send an API request and return the payment link to proceed with payment. In 2020, it is believed that businesses will witness more bots combined with Paypal, digital wallets, and other payment gateways to make payments. The chatbots integration with the payment infrastructure provides enough data that allows businesses to promote conversation-driven upselling to users. Moreover, it also manages transaction data, payment confirmation, expense records, and various other crucial processes which leads to high user trust and retention.

Voice Bots

An article suggests that more than 50% of all searches will be voice-driven by 2020. It has also been found that digital consumers prefer messaging platforms that have a voice and text-based interfaces. The aim is to deliver users with an effortless experience by voice-driven chatbots. Conversational bots utilize AI techniques and are capable of assisting over both text or voice. It can be assumed that the capabilities of these bots will only increase with time thereby increasing human dependence on them.

Chatbots With Human Touch

Chatbots are expanding at an unprecedented rate, and also its market share is evolving. Today, chatbots can perform various tasks, such as suggesting options, along with answering questions. In short, chatbots can be more human because it will keep the users engaged by driving the conversation forward rather than breaking it. AI-driven chatbots are assumed to mimic social conversation and identify the intent behind the text that the user types. Later, the chatbot delivers a response that accurately matches the query typed. It is said that in 2020, AI integrated chatbots will prepare customer service agents for high impact conversations.

Chatbots With Emotional Intelligence

Emotional intelligence is an understanding of human emotions from a conversation and responding to them accordingly. Emotional Quotient is the use of AI facial feature detection tools to analyze how a person is feeling, and Emotional Intelligence in AI identifies speech and text. When a chatbot detects what a user has typed, it automatically extracts information and tries to understand their mood to know if the user is angry, sad, or happy. With the advancement in technology, chatbots will also be monitoring punctuation and capitalization to predict the user's emotions. Moreover, it is anticipated that companies are planning to create bots with emotional intelligence to drive soft skills to businesses, creating a profound impact on customer interaction.

Chatbots based on Natural Language Processing

Natural Language Processing integrated chatbots will be helpful for the companies offering customer service scenarios. NLP analyzes the intent of the user’s input and generates responses according to them. NLP has the power to understand past conversations and improve the ability to deliver relevant answers. Reports reveal that the Royal Bank of Scotland is already using NLP in their chatbots to enhance customer experience through text analysis. In 2020, businesses can witness more developers working on the methods to train their bots to carry out multiple interactions and conversations.

Analytics and Insights with Chatbot

Any organization can track, extract, or analyze data with the help of analytics. This information further helps in understanding the prospect’s requirements and accordingly changing strategies and products. Chatbots also aggregate vast amounts of data and maintain the record of every question asked, answer delivered, and query assigned through to agents. These processes help businesses to enhance their progress and understand the consumer mindset continuously. The chatbot analytics and insights help the companies to accurately track and gauge key search terms, preferences, satisfaction, and customer relationships.

Self-Learning Chatbots

For any organization to stay ahead in the race, it is crucial to train bots with the latest data and keep them updated. In 2020, it can be expected by the companies to create self-learning chatbots that will help them by saving lots of their time feeding new data to bots. The bots will analyze the customer’s behavior pattern in every interaction and train themselves to maintain customer engagement. Hence, the chatbots will learn to enhance their response capabilities based on user feedback.

Social Media Chatbots

Currently, social media is the most reliable digital marketing medium. Users generally spend most of their time on social media voicing opinions, ordering products & services, writing reviews, and even getting in touch with online businesses. Hence, it becomes essential for companies to implement chatbots to facilitate customer interaction on these platforms..

Final Words

Hence, all the points mentioned above clearly depicts different ways in which AI chatbots will transform the retail industry in 2020.

The inventory storage in your warehouse is one of the many necessary expenses that you should consider while creating a business plan. It helps in determining the amount of money you would need to start a business.   How to Estimate a Start-up Inventory Cost?   Inventory cost estimation is, of course, a difficult thing for the new retailers.   On your request, vendors and suppliers will send you the catalogs with the dealer price list for establishing your business. Hence, getting an accurate estimate is essential so that you can show it to the bank or finance companies if you are looking for a loan.   You have to know some basic facts to estimate your inventory cost:   · What product lines you are going to stock with your business?   · How many items would you need to stock to start the store?   · What will be MSRP Manufacturer Suggested Retail Price?   You should also know that the typical retail mark-up price for a product run between 30% and 40% of the actual cost of the product, depending upon the industry segment. Remember, higher mark-ups are possible with the hand-crafted and luxury merchandise.   Let us take an example:   So, you want to stock 20 sweatshirts from popular brands in your inventory.   If regular selling price of a sweatshirt is $60, the mark-up price will be = $60 x .40 = $24 (as per 40% retail mark-up percentage)   Wholesale price of the sweatshirt = $60 - $24 = $36   Wholesale cost of 20 sweatshirts = $36 x 24 = $864   So, your inventory may cost up to $864 for 20 sweatshirts.   Now, pay attention to these two points:   · Be consistent with the above research process and estimates for all the products you are planning to sell.   · Also, consider factors like shipping, handling, and other relevant expenses to obtain the merchandise.   Doing industry research and checking out reports from trade associations can help you get an insight into what mark-up price your retail segment uses.   Always remember that the plan may have differences from actual revenues and expenditures. So, always keep a marginal capital for risk coverage.   Now, when you are ready with your retail business, I will always suggest you to use inventory management software. It will help you to manage your orders, inventory, bills, accounts, reports, and everything that accounts important and needs security in your business. Here are a few of them that will help you to manage your stocks well, along with providing many other benefits.   1. TradeGecko   2. Orderhive   3. Zoho Inventory   4. NetSuite ERP   5. Vend   You can try any of these according to your business needs and get to the successful management of your inventory, warehouses, and customers.
The inventory storage in your warehouse is one of the many necessary expenses that you should consider while creating a business plan. It helps in determining the amount of money you would need to start a business.   How to Estimate a Start-up Inventory Cost?   Inventory cost estimation is, of course, a difficult thing for the new retailers.   On your request, vendors and suppliers will send you the catalogs with the dealer price list for establishing your business. Hence, getting an accurate estimate is essential so that you can show it to the bank or finance companies if you are looking for a loan.   You have to know some basic facts to estimate your inventory cost:   · What product lines you are going to stock with your business?   · How many items would you need to stock to start the store?   · What will be MSRP Manufacturer Suggested Retail Price?   You should also know that the typical retail mark-up price for a product run between 30% and 40% of the actual cost of the product, depending upon the industry segment. Remember, higher mark-ups are possible with the hand-crafted and luxury merchandise.   Let us take an example:   So, you want to stock 20 sweatshirts from popular brands in your inventory.   If regular selling price of a sweatshirt is $60, the mark-up price will be = $60 x .40 = $24 (as per 40% retail mark-up percentage)   Wholesale price of the sweatshirt = $60 - $24 = $36   Wholesale cost of 20 sweatshirts = $36 x 24 = $864   So, your inventory may cost up to $864 for 20 sweatshirts.   Now, pay attention to these two points:   · Be consistent with the above research process and estimates for all the products you are planning to sell.   · Also, consider factors like shipping, handling, and other relevant expenses to obtain the merchandise.   Doing industry research and checking out reports from trade associations can help you get an insight into what mark-up price your retail segment uses.   Always remember that the plan may have differences from actual revenues and expenditures. So, always keep a marginal capital for risk coverage.   Now, when you are ready with your retail business, I will always suggest you to use inventory management software. It will help you to manage your orders, inventory, bills, accounts, reports, and everything that accounts important and needs security in your business. Here are a few of them that will help you to manage your stocks well, along with providing many other benefits.   1. TradeGecko   2. Orderhive   3. Zoho Inventory   4. NetSuite ERP   5. Vend   You can try any of these according to your business needs and get to the successful management of your inventory, warehouses, and customers.

The inventory storage in your warehouse is one of the many necessary expenses that you should consider while creating a business plan. It helps in determining the amount of money you would need to start a business.  

How to Estimate a Start-up Inventory Cost?  

Inventory cost estimation is, of course, a difficult thing for the new retailers.  

On your request, vendors and suppliers will send you the catalogs with the dealer price list for establishing your business. Hence, getting an accurate estimate is essential so that you can show it to the bank or finance companies if you are looking for a loan.  

You have to know some basic facts to estimate your inventory cost:  

· What product lines you are going to stock with your business?  

· How many items would you need to stock to start the store?  

· What will be MSRP Manufacturer Suggested Retail Price?  

You should also know that the typical retail mark-up price for a product run between 30% and 40% of the actual cost of the product, depending upon the industry segment. Remember, higher mark-ups are possible with the hand-crafted and luxury merchandise.  

Let us take an example:  

So, you want to stock 20 sweatshirts from popular brands in your inventory.  

If regular selling price of a sweatshirt is $60, the mark-up price will be = $60 x .40 = $24 (as per 40% retail mark-up percentage)  

Wholesale price of the sweatshirt = $60 - $24 = $36  

Wholesale cost of 20 sweatshirts = $36 x 24 = $864  

So, your inventory may cost up to $864 for 20 sweatshirts.  

Now, pay attention to these two points:  

· Be consistent with the above research process and estimates for all the products you are planning to sell.  

· Also, consider factors like shipping, handling, and other relevant expenses to obtain the merchandise.  

Doing industry research and checking out reports from trade associations can help you get an insight into what mark-up price your retail segment uses.  

Always remember that the plan may have differences from actual revenues and expenditures. So, always keep a marginal capital for risk coverage.  

Now, when you are ready with your retail business, I will always suggest you to use inventory management software. It will help you to manage your orders, inventory, bills, accounts, reports, and everything that accounts important and needs security in your business. Here are a few of them that will help you to manage your stocks well, along with providing many other benefits.  

1. TradeGecko  

2. Orderhive  

3. Zoho Inventory  

4. NetSuite ERP  

5. Vend  

You can try any of these according to your business needs and get to the successful management of your inventory, warehouses, and customers.

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