Independent retailers are under growing pressure as cost-conscious consumers weigh up where to spend, online competitors compete on price, and a single poor experience can discourage customers from returning.
With discretionary spending often shifting towards travel, hospitality and leisure during summer, high-street businesses have even less room for operational mistakes that damage satisfaction or footfall.
By introducing affordable AI products, this can help smaller retailers turn customer feedback into practical insights, giving managers access to analysis that once required a dedicated data team.
Mika Kupila, Head of Product Management at HappyOrNot, told CX Today that independent retailers must use customer feedback and data more effectively as they compete for increasingly selective shoppers.
“As independents battle with the convenience of online shopping and the budgets of larger retailers, listening to feedback and using every tool at their disposal is now more important than ever,” he said.
“If you cannot see what is pushing people away, you cannot fix it – and there is very little margin for getting that wrong right now.”
The Summer Spend Squeeze
Amid worldwide cost cutting and higher inflation, independent retailers are entering the summer months under more pressure from cautious consumer spending, rising operating costs, and competition from larger chains and online stores.
Because of this, consumers are presented with more shopping options as online retailers typically compete on price and convenience.
“With online retailers often able to offer consumers a more cost-effective deal, creating the right environment for shoppers has become even more important,” notes Kupila.
For independent stores, this leaves less room for frustration, requiring them to quickly identify the root of dissatisfaction before it creates a permanent impression.
“Increasingly, people are thinking harder about where they spend, and are far quicker to write off a store or brand after an experience fails to meet their expectations,” he highlighted.
As a result, current footfall and spending patterns reveal that retailers cannot assume that people visiting town centers will automatically spend in independent stores.
Summer consumer activity can often shift toward leisure activities abroad, unlike the Christmas trading period when seasonal shopping can provide a significant boost to retail demand,
In fact, ONS revealed that UK consumers made 34.8 million overseas visits between July and September 2024, spending £17.1BN in total, suggesting that summer can leave high-street stores competing for a smaller share of discretionary spending.
Kupila states:
“The summer months conventionally prove to be more challenging for high street shops, with consumers more likely to spend their money in the hospitality and leisure sectors.”
With fewer opportunities to convert footfall into sales, retailers have less room for avoidable problems that could push customers toward another alternative.
Give Your Shoppers a Reason to Return
For independent retailers, ensuring success in the summer months will require bringing customer and operational data together.
With online customer comments, sales figures, revenue and staffing information often spread across different systems, store managers can struggle to identify recurring problems or connect business shifts to changes in customer sentiment.
“The first step costs nothing, it just involves collecting feedback in a way you can then use later,” explained Kupila.
“A lot of independents gather comments in bits and pieces, often in verbal or written form, and none of it is centralised.”
Next, introducing AI for sentiment analysis can evaluate customer feedback, and AI tools can group open-ended comments into themes and highlight recurring issues.
From here, managers without analytics teams can assess what has changed, which issues appear most frequently, or common unhappy customer experiences.
Kupila pointed out:
“AI has made it easier than ever to understand the feedback data, not just look at it. Store managers come from different backgrounds; some are more literate with data than others.”
When smaller retailers can identify complaints and negative sentiment, this creates a relatively simple cycle for them to collect information, identify a pattern, taking action, and measuring the result.
“In summer, that discipline matters more, not less,” he states.
“Footfall swings week to week and does not always turn into spend, so the retailers who act quickly on what their feedback is telling them, and check whether it worked, are the ones who head off a bad month rather than reacting to one.”
Whilst AI cannot remove the wider pressures currently facing the high street, it can help independent retailers interpret their own data quickly enough to respond, placing them in a more competitive position during these difficult months.
