AI and Automation in Retail: A Guide to Managing Costs

by Deputy Team, 8 minutes read
HOME blogessential ways to use ai and automation in retail

Key takeaways

  • Artificial intelligence (AI) and automation now touch every part of retail, from stock rooms to schedules to pricing.

  • Your biggest wins come from labor, including forecasting demand, building draft schedules, and supporting labor-law compliance workflows across locations.

  • Deputy customers Juice Press and UNTUCKit report reductions in labor spend or scheduling admin using Deputy tools, though results vary by business.

  • AI works best as an assistant that surfaces suggestions while your managers make the final call.

Artificial intelligence and automation in retail used to sound like a warehouse story. Now they touch the sales floor, the stock room, the schedule, and the price tag.

If you run hourly teams across several stores, you can feel the pressure. Labor costs keep climbing, and customers still expect fast, friendly service. Employers paid 80.3 million United States (US) workers hourly rates in 2024.

This guide walks through where these tools can help with costs, and how to keep your team in control. According to Deputy's Big Shift Report, 48% of US shift workers say their workplace already uses AI in some form.

Inventory management

If you manage inventory without the right tools, your team can spend hours entering data by hand, and errors can still slip through. Those mistakes get expensive fast.

Automating manual inventory tasks

AI-assisted tools can take repetitive work off your team and give you a clearer picture from sales history, customer trends, weather, and supplier records. That can reduce manual work and help you spot patterns sooner.

Forecasting demand to avoid overstock and stockouts

With that data, AI-assisted tools help you estimate demand and plan stock levels for review. Retailers like H&M use these methods to localize merchandise and cut back on markdowns. This can help reduce the amount of money tied up in excess stock, storage, and markdowns.

The same forecasts help you plan for seasonal peaks and one-off events. You can adjust orders store by store, so a busy downtown location doesn't carry the same stock as a quiet suburban one. The tool suggests the numbers, and you make the final call.

Labor demand forecasting

Labor is one of the biggest costs you carry. With wage floors rising in many states, overstaffing during quiet periods can put additional pressure on labor budgets.

Retail store manager reviewing an employee shift schedule on a tablet near the sales counter

How AI-assisted forecasting matches staff to customer demand

When you plan staff to match demand, you need to weigh year-over-year sales, recent trends, foot traffic, and more. AI-assisted forecasting can help you estimate staffing needs and manage staffing within your labor budget. The tools produce a forecast for manager review, not a fixed answer.

Labor forecasting is the part of retail that AI has changed most, according to the same Deputy report. Your managers can use these reports to plan staffing for busy days and help manage labor spend during slower periods.

Turning sales and foot-traffic data into staffing decisions

Store Owner Lance Stillwaugh runs two Ace Hardware stores in Colorado and now tracks payroll as a percentage of sales, keeping labor costs inside budget. You can use the same measure to spot whether your staffing is staying on plan.

Juice Press took a similar approach. By watching labor and sales trends together, they match staffing to demand across the day. Juice Press reports estimated front-of-house labor savings of over $200,000 a year using Deputy tools, though results vary by business.

Employee scheduling

Beyond helping control labor costs, AI-assisted scheduling software can help reduce the admin that eats into your week as a manager.

Building draft schedules in minutes for manager review

Auto-scheduling tools can help build a draft schedule using your staffing and scheduling settings, which you can review and adjust before publishing. You can also configure scheduling rules and warnings to support manager review of schedule changes, and set up pay rules to support payroll processing.

Giving retail staff shift flexibility and clear communication

Scheduling software also gives staff more say over their time. Employees can swap shifts or request time off from any device, and get updates in real time.

That flexibility can help support retention. It matters, because 60% of service-sector workers get less than two weeks' notice of their schedules, according to Harvard's Shift Project.

UNTUCKit reports reducing scheduling workload by 50% across 45 stores, which freed managers to focus on customers. About 75% of US shift workers say AI tools help them leave work on time, according to Deputy's Big Shift Report.

Staying on top of labor-law compliance across locations

If you run stores in multiple locations, you may need to account for labor-law requirements at the federal, state, and local levels. Those range from overtime and hour limits to meal and rest breaks. The rules multiply fast.

Diverse team of retail employees in aprons having a short morning huddle near the checkout counter

Tracking breaks, overtime, and premium pay

In California, for example, employers can owe premium pay when employees miss a required meal or rest break. Deputy's tools can support break tracking and employee confirmations. They can also flag potential overtime or premium pay for manager review.

These tools present the information for manager review, so your team stays in control. Software like this helps reduce compliance risk and can streamline your compliance workflows.

Keeping up with Fair Workweek rules in multiple cities

Fair Workweek laws vary by jurisdiction. They can include requirements relating to advance notice of schedules, schedule changes, predictability or premium pay, access to hours, rest between shifts, and recordkeeping.

The list of jurisdictions keeps growing. Los Angeles County's Fair Workweek Ordinance took effect on July 1, 2025, and other cities, such as Chicago, have their own fair workweek ordinances.

Tools that surface these rules for manager review can help support compliance workflows across applicable locations. Proper Cloth uses Deputy to support its compliance efforts as it grows. Dennis Novak, head of showrooms at Proper Cloth, says having the right setup in place gives their team peace of mind:

Deputy had the features we were looking for to support our New York operations. As we grow to other cities, it can also support configured workflows for different local labor requirements or nuances in those cities.

Dennis Novak, Head of Showrooms, Proper Cloth

Deputy supports compliance workflows but does not provide legal advice or guarantee compliance. Customers remain responsible for configuring the platform appropriately and complying with applicable laws and regulations.

See how Deputy helps your retail team forecast labor, schedule smarter, and manage costs.

Pricing management

You can use AI-assisted tools to fine-tune pricing and stay competitive. These tools read market signals, demand shifts, and seasonal or competitor pricing, then suggest price adjustments for a manager to approve.

The same tools can study customer behavior across channels, which helps shape tailored discounts and promotions. They can also help you plan product mix and track competitor pricing, so you know which products to stock and how to price against rivals. For retailers with both online and in-store sales, AI-assisted pricing helps keep prices consistent across channels.

Pricing is one area where human judgment still matters most. A suggested markdown might clear stock, but it could also train shoppers to wait for sales. Treat the tool's output as a starting point, then weigh it against your margins and brand.

Other ways retailers use AI and automation

Labor is one area where AI can support hourly teams, but it's only part of the picture. Here's a quick tour of the other use cases you'll hear about, so you can see where they fit.

Personalization, recommendations, and customer engagement

You can use AI-assisted tools to help personalize the shopping experience. Recommendation engines can suggest products based on browsing and purchase history. Chatbots and shopping assistants can help answer questions and guide customers toward a sale.

Conversational commerce, where shoppers buy through chat, is growing on both websites and messaging apps.

Supply chain, logistics, fulfillment, and in-store automation

Behind the scenes, AI-assisted tools can help you plan replenishment, route deliveries, and support warehouse and fulfillment operations. On the floor, computer vision can support checkout automation and cashier-less store operations, while sensors and cameras support loss prevention and fraud detection.

These systems can reduce shrink and speed up service, though they take real investment to run well. Most retailers start with one or two use cases, then expand.

The smart retail tech stack and getting AI-ready

Smart retail runs on a mix of technology. That can include Internet of Things (IoT) sensors, radio-frequency identification (RFID) tags, robotics, and robotic process automation (RPA), plus cloud and edge computing and analytics. The right stack depends on your size and goals.

Before you deploy AI, get the basics right. You need clean data, connected systems, and clear rules for security, privacy, and how your business uses AI. You also need to plan for risks like bias, cybersecurity threats, and model errors, and keep a person reviewing important decisions.

What artificial intelligence and automation in retail mean for your team

If you introduce AI in retail, your staff may ask: what happens to my job? The honest answer is that AI-assisted tools work best alongside people, not instead of them.

Gen Z now makes up 45.6% of US retail shift workers, according to Deputy's Big Shift Report. The same report finds about 60% of US shift workers think AI could replace part or all of their role. Roughly 80% say their workplace doesn't clearly explain how leaders introduce AI.

That gap is a chance to lead. Turnover is costly, too: replacing an employee can cost one-half to two times their annual salary, according to a widely cited Gallup estimate.

When you automate repetitive tasks, you free staff for customer-facing work where human interaction remains important. Be transparent about where you use AI, maintain appropriate human oversight for important AI-assisted decisions, and treat AI output as a suggestion for review.

How to start using AI and automation in your stores

You may not need a big rollout to start seeing results. Start small, prove the value in one store, and build from there.

  1. Map your biggest time drains, like manual scheduling and break tracking.

  2. Start with labor forecasting and scheduling, where cost savings may show up sooner for some teams.

  3. Choose workforce management software and integrations that help connect scheduling, time, and pay workflows.

  4. Keep managers involved in reviewing AI-assisted drafts before they finalize important decisions.

  5. Measure labor as a percentage of sales and changes in administrative time.

Bringing AI and automation together in retail

Retail has moved from brick-and-mortar to online to a mix of both. It has weathered inflation, labor shortages, and supply chain shocks along the way. Artificial intelligence and automation in retail are becoming increasingly common tools that can help you improve efficiency and support decision-making.

Getting the most from AI in your stores

Used well, these tools can help manage costs, ease scheduling admin, and support your compliance efforts, while your team stays in control. If you're evaluating scheduling tools, compare how Deputy handles scheduling and compliance workflows against your current process, or read our guide to smart scheduling strategies.

Frequently asked questions

What is AI and automation in retail?

It's the use of AI-assisted and automated tools that support data-heavy or repetitive retail tasks. Examples include forecasting demand, drafting schedules, recording workforce information, and informing pricing decisions. People stay in charge of the decisions.

How does AI help reduce retail labor costs?

AI-assisted forecasting helps managers estimate how many staff each shift needs, which can help reduce overstaffing during quiet hours. Deputy customers like Juice Press report meaningful savings, though results vary by business.

How can AI-assisted tools help create employee schedules?

AI-assisted scheduling tools can help generate a draft schedule using relevant configured workforce and scheduling information. Managers can review and adjust the draft before publishing.

How does AI support labor-law compliance in retail?

Configuration-based tools can support break records and employee confirmations and surface configured warnings relating to overtime or premium pay for manager review. This can help reduce compliance risk and streamline compliance workflows, but Deputy does not provide legal advice or guarantee compliance. Customers remain responsible for configuring the platform appropriately and meeting applicable legal requirements.

Will AI replace retail workers?

AI-assisted tools can change how teams perform retail tasks by taking on or supporting some repetitive and administrative work. Human judgment and customer interaction remain important parts of retail work.