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Digitalization of retail

Retail digitalization: routine automation and implementation of AI solutions

Digitalization of retail

In grocery retail, the speed of decision-making directly affects money. If a product is purchased too late, the shelves become empty and sales are lost. If demand is overestimated, there are surpluses in the warehouse.

Research shows that out-of-stock losses in retail can reach 4-8% of sales. To avoid this, companies must build processes to synchronize purchases and sales, monitor budgets in real time, and work with data. This article will explore how digital tools can minimize losses and speed up management decisions.

Watch the video on YouTube for a quick overview of the topic and to pick up the key points.

How to deal with management issues in retail?

Digital retail solutions help identify and eliminate financial losses by recording data on purchases, balances, delivery dates, and sales. They work with centralized data storage and regular updates. For example, a BI system can detect write-offs for a product category or delays from a supplier.

The examples below are what retailers most often encounter in the course of their work.
 

1. Fragmented supply chains

Suppliers, warehouses, and stores use different channels (mail, spreadsheets, and messengers) in large networks, causing confusion, delays, and data loss. A retail platform unites participants into a single system, streamlining purchases, approvals, delivery statuses, and documents.
 

2. Lack of control over the procurement budget

A centralized system prevents overspending, duplication, and inconsistent purchases by showing real-time limits, comparing plans and facts, monitoring deviations, and analyzing costs.
 

3. Overloaded managers and the human factor

Depending on a single manager increases the risk of errors and delays. Manual processing and invoice reconciliation lead to errors and slow approvals, especially without regulated digital approval routes. Automated systems distribute tasks and record statuses, reducing dependence on a specific employee.
 

4. Lack of analytics

Analytical tools are necessary to assess effectiveness. This includes understanding which suppliers break deadlines, which categories make the most profit, and where losses occur. Modern systems display this data in an understandable way.
 

5. Risks of supply disruption

Working with unverified or new suppliers causes delays and losses. Avoid these by keeping a register of suppliers, keeping a history of cooperation, and automatically reporting violations.
 

6. The complexity of assortment management

Retail product ranges can include tens of thousands of items, and product data may be duplicated. The unified NSI database (regulatory and reference information) eliminates duplicates and ensures the correctness of information for all divisions.

The RAG system (Retrieval-Augmented Generation)— an enterprise AI that works with internal company data, can also help here.


RAG connects to the NSI database, regulations, internal instructions, and change history. When an employee asks a question, the system finds relevant information and generates an accurate answer based on your documents.


For example:
 

«Is there already such a position in the database?»
 

«What are the required fields for the dairy product category?»
 

«Why was the product blocked?»
 

Employees receive responses in seconds without having to communicate with colleagues or conduct manual searches. You can read the article to know more about implementing RAG in business.

7. Slow order processing

Mail or spreadsheet purchases delay the process for days, which is critical for high-turnover retailers. The online platform with automatic approval routes reduces application processing time.

Three levels of retail digitalization: automation, AI and personalization

Digitalization in retail is moving in three directions: automation of routine, AI solutions, and personalization. Automation reduces costs, AI improves forecasting and management, and personalization increases conversion and repeat sales.


1. Automation of routine processes

In retail, a lot of operations are repetitive: accounting, order fulfillment, logistics, refunds, and customer support.

Automation closes these tasks at the system level:

  • the balances are tracked automatically, and the order to the supplier is formed without the participation of a manager;
  • delivery is distributed among couriers according to the set rules;
  • typical customer requests are processed by a chatbot.

The system analyzes sales and seasonality to generate a purchase in advance if the product is approaching the minimum balance. This reduces the risk of out-of-stock and prevents excess inventory.

For purchases, the following are used:

  • electronic trading platforms — digital execution of tenders and orders;
  • SRM systems — management of suppliers, conditions and indicators of their work;
  • The P2P (Procure-to-Pay) model is an end-to-end process from application to payment in a single loop.

As a result, the purchasing and operating cycle becomes manageable and transparent.

Automation doesn't reduce people; it reallocates resources. Employees move on to tasks affecting sales growth and customer experience.

2. AI for management

Automation simplifies processes, and AI manages them. Stores use AI to understand customers, save on logistics, and sell more. This works for major players like Amazon and regular networks.

AI in retail is used in three areas.

 

The use of AI in retail

How it works

Forecasting demand

Algorithms analyze sales history, seasonality, promotions, customer behavior, weather, holidays, and external trends to predict demand.

Amazon uses ML models to predict demand for tens of thousands of SKUs, taking into account regional specifics.

Personal recommendations

The system studies purchase history and user behavior to create individual offers, increasing purchases.

Amazon, Sephora, for example, use such approaches.

Operational efficiency

AI optimizes delivery routes and staff schedules, and analyzes cash registers and video surveillance data to identify anomalies.

3. Mobile or web application in retail

Personalized recommendations can increase sales. The system analyzes purchase history and suggests relevant products. As a result, marketing costs are reduced, average sales are increased, and customers return for repeat purchases.

The LighTech team has implemented a mobile application for sales consultants of a large jewelry chain from the top 5 of the Russian market (more than 300 stores).


The app collects the purchase history of each client and, based on it, tells the consultant what to offer.:
 

- Did the client buy gold earrings? The system will show matching pendants and rings in the same style.
 

- Does a person prefer classics? It will not offer avant-garde models.
 

- Does the buyer focus on a certain price segment? The consultant immediately sees relevant options.
 

The result: higher sales, more receipts, and fewer «nothing came up» customer exits.
An application for a jewelry retailer from the top 5 (NDA)
An application for a jewelry retailer from the top 5 (NDA)
webmobile
A mobile solution for jewelry chain sellers
Where to start with digitalization in retail

Would you like to know how much it costs to develop a digital retail platform?

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The Internet of Things in retail

The Internet of Things (IoT) is becoming popular in retail. Smart shelves, sensors, video cameras, and tracking devices automatically monitor goods availability, analyze customer behavior, optimize logistics, and personalize service.

How the Internet of Things works in retail

The Internet of Things is growing, and so is its use in digital transformation. Companies use collected data to make decisions and gain an advantage over competitors.

Digital technologies as a way to reduce costs and increase revenue

Even replacing a paper price tag becomes costly. It takes about a minute for an employee to replace one price tag, including printing and placement. In terms of the store, employees spend hundreds of hours per month on routine tasks instead of working with customers.

Digital technology automatically updates prices, highlights stocks, and eliminates «forgotten» replacements. This frees staff for sales-related tasks.

Retail digitalization is hindered by concerns about complexity and cost. It can be phased in: launch a pilot in a few stores, measure the effect on performance, and scale after effectiveness is proven.

Offline retail will continue, but its format will change. The trading floor will become more technologically advanced without losing the experience familiar to the buyer.

Frequent questions

How to link automation, AI and IoT in retail?
What steps are needed to benefit from the introduction of modern solutions in retail?
What retail technologies are suitable for medium and small businesses?
Who is suitable for developing digital solutions for retail?

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