African small businesses are finding useful ways to put AI to work

There is a lot of noise around AI and what it could mean for African businesses. For a small business owner, much of that noise does not help much. The day to day problems are usually more basic. Customers need answers, payments need to be followed up, stock needs checking and quotes need to go out. This is where AI could actually be useful. The value is not simply that a business is using AI. It is that some of the work taking up people’s time can be handled more quickly.

Start with the work that keeps piling up

A small business can have customer information in WhatsApp, sales in a spreadsheet, invoices in accounting software and important decisions buried in emails. Someone still has to bring all of that information together. Finding a customer’s details, checking an invoice, going through old messages and updating a spreadsheet can take only a few minutes at a time. Do it dozens of times a week, however, and the hours start adding up. AI can help search through information, organise it and prepare a response. There is an important catch. The business still needs reasonably accurate records. If the information is wrong or outdated, the system can only work with what it has.

Most African SMEs, WhatsApp has become part of the sales process. A customer might ask whether something is available, request a price or want to know when an order will arrive. Someone at the business then has to respond. Some of those questions are straightforward enough for AI to handle, provided it has access to the company’s actual prices, products and delivery information. More complicated conversations can still be passed to an employee. That could free up a small team from spending hours answering basic questions that come up again and again.

Getting paid is another job that keeps coming back

Unpaid invoices are a problem for small businesses everywhere. Knowing who owes money is often not the difficult part. Keeping track of every account and following up at the right time is where the work comes in. AI can help sort outstanding invoices, flag overdue accounts and prepare payment reminders. Financial information can also be turned into simpler summaries, giving the owner a quicker view of what is happening in the business. The decision still belongs to the owner. Whether to call a customer, extend payment terms or stop supplying them requires context that software may not have. SAP has pointed to automated receivables matching and AI-assisted financial analysis as practical applications for South African businesses. For an SME, that is arguably more useful than another tool for writing social media posts.

Stock is another place where small businesses lose money

A retailer can lose money by ordering too much stock or by running out of products that customers actually want. Much of the information needed to spot these problems is already available in sales records. Those records can show which products are moving quickly, which ones have been sitting on shelves and when demand tends to change. AI can help identify those patterns and flag areas that need attention. The owner still decides what to order. The technology simply makes the information easier to understand. Delivery businesses can use the same approach for route planning, scheduling and inventory. The IMF has identified logistics, inventory management and last-mile delivery as areas where AI could have practical applications in Africa.

A retailer in Kenya is dealing with different challenges from a farmer in Zambia. A logistics company in Ghana will have different needs from a small financial services business in Nigeria. That makes a one size fits all approach difficult. For some businesses, customer service may be the obvious starting point. Others could get more value from managing invoices, stock or deliveries. Agriculture presents another set of opportunities. Better information about weather, crops, pests and irrigation could help farmers make decisions that directly affect production. The IMF has identified agricultural advisory services and predictive analytics as areas where AI could be useful in Africa, including applications designed for areas where connectivity is limited. For a business owner, the technology only matters if it helps with a problem the business already has.

There is still a basic problem to solve

AI cannot fix poor records. Outdated stock information will still produce unreliable stock information. Customer details spread across several systems will remain difficult to manage if nobody keeps them updated. Employees also need to understand how the technology works and when they should check its output. This is one reason AI adoption among African SMEs will not simply come down to buying cheaper software. The IMF points to infrastructure, financing and skills as major constraints for smaller businesses in sub-Saharan Africa. The OECD has also highlighted skills, implementation, maintenance and security as challenges for SMEs adopting AI.

Before an SME buys another AI subscription, it is worth looking at the work employees repeat every week. Customer questions. Invoice reminders. Weekly reports. Stock checks. Moving information from one system to another. If one of these jobs takes several hours every week, it may be a better place to start than trying to introduce AI across the entire business. African SMEs do not need AI to run the whole company. They need to find the parts of the business where people are spending too much time doing work that could be handled more efficiently.