Sales analytics offers a data-based approach to price and campaign decisions that increase income and improve margins in retail trading conditions. The ability of the solution to combine real-time measurement of data, historical sales behaviour and campaign effect allows quick, accurate and profitable decisions.

What does it bring to the retailer?

Sales analysis based on retail trade needs is intended for category managers, merchants, e-commerce teams and sales statistics analysts. The main objective is to increase turnover and optimize campaigns ROI, using price and product information management , campaigns and discounts in the retail sector and comprehensive retail sales statistics and reporting .

Main functions and options

• <Price and product information management - central platform for managing prices, SKUs and product attributes with version management and audit log.
< < Segmentation and targeting> - customer and commercial segments - planning, validating and manager campaigns by channel and automatic rules for applying discounts >l >l >l >l >l >l >l >l >l >l >r The data-based approach allows:
• to improve margin through dynamic pricing strategies and accurate price and product information management;
• to speed up decision-making processes through clear reports and automated campaign management;
• to reduce surpluses and improve stock rotation through better forecasting and campaign-led demand planning;
• to increase ROI through testing, segmented offers and real-time monitoring.

Differences and advantages to competitors

Unlike the general reporting tools, the solution focuses on the specificities of retail trade: SKU-level analysis, the complexity of campaign conditions management and integration with POS/ERP infrastructure. Data rhythms are not only based on historical correlation, but also use quantification of price elasticity and campaign effect to provide commercially meaningful recommendations.

Usage cases

1. Summer season campaign planning: optimisation of segment discounts and real-time monitoring of the campaign effect.
2. Quick reaction to competition price responses through automatic price reviews and rule-based finding.
4. Sale strategy: clearance-campaign impact simulation to maximise revenues and minimise discount costs.
How to start The management can quickly get a value through the initial data audit, after which key, margin, campaign-ROI are configured. Thereafter, integration with POS and storage systems will gradually expand and an adjusted reporting will be added to support strategic decisions at each level of trade.

Result: clear, measurable and sustainable growth - less emotion-based decision-making, more evidence-based growth. Data will be converted into activities that increase sales and improve profitability.

Find out more and start optimising the price and campaign hierarchy in order to achieve better sales results and more efficient retail trade.