Retail software development

The absence of technology in stores leads to inefficiency and inconvenience, failing to meet modern shoppers' expectations, potentially resulting in brand switching.

Customers often encounter a complicated checkout process with excessive forms and aggressive pop-ups, leading to cart abandonment. Universal delivery strategies may not align with customer expectations, risking customer loss.

Interaction with customers is often generic and not tailored to individual preferences. Companies struggle to understand and satisfy customer preferences without effective data analysis, hindering the effectiveness of their marketing campaigns.

Over the years, companies have accumulated a patchwork of IT tools that are unfriendly and unable to support business growth, leading to inefficiencies and complexities.

The rise of AI-powered personal assistants poses a challenge for companies not utilising such technology, potentially putting them at a competitive disadvantage.

Younger consumers, becoming a dominant purchasing force, are harder to attract and retain. Social media remains crucial for engagement, but additional strategies are needed to connect with younger demographics.

Manual analysis of visual data is time-consuming and error-prone, making activities such as image optimisation, customer behaviour analysis and store space management less efficient and accurate.

Traditional demand forecasting methods often rely on manual processes and struggle to handle large volumes of data, leading to inaccurate forecasts and inventory management challenges when external factors come into play, such as sudden changes in demand levels, lack of historical data, new trends and seasonal spikes in demand.