The channel dynamics are changing, and the consumer expectations are keep increasing. With an explosion in global, national, regional and private label brands, shelf space is at a premium level. It’s increasingly hard to find right space and placement. E-commerce has trained consumers to be more price sensitive and promotion oriented. At Brainswig, we help retailers and CPG companies mine POS data to enable data-driven strategies in the areas of promotions (what products to promote and when to promote), price points (price elasticity), shelf space planning (what products are to be placed together using market basket analysis and when to use the end-caps), recognizing and rewarding multi-channel consumers, drive consumer loyalty, increase POS transactions and improve customer experience.



Retail Analytics

  • Sales Promotion Effectiveness
    •
  • POS Data Mining
  • Market Basket Analysis


  • Sales Promotion Effectiveness
    • We apply sophisticated quantitative techniques to evaluate all your promotional methods and elements to understand their impact on business performance and ROI. Our analysis goes beyond immediate sales impact to understand the long-term implications, including promotion profitability, future cannibalization and portfolio cannibalization.

    • Define your pricing strategy based on the consumer response to the sales promotions.

    • Gain an accurate inference on your consumer’s responsiveness to a sales promotion or marketing start

    • Use data intelligence in order to plan and offer competitive pricing solutions across your value chains.




  • POS Data Mining
    • As a retailer, use data mining to gain a comprehensive knowledge on ad spends, popular offers and sales strategies – their performance and ROIs.

    • Our solution helps in anticipating and forecasting volumes based on the same-day sales of a year ago and other factors that can be folded into algorithm.

    • Use the analytical advantage to develop new product lines, monitor product life cycle, review existing product’s performance and identify the needs for incremental changes.

    • Data mining helps in optimizing test markets for successful global launch of brand-new concepts and product innovations.

    • Improve the efficiency of your distribution channels and identify the right mix of channels using cross channel Analysis.

    • With an in-depth in-store analysis, average time spent in the store, keep track of customer foot falls, aisles with maximum attraction, vantage points for advertising and more.

    • Utilize the benefits of transaction analysis to understand the customer’s spending patterns and routines.




  • Market Basket Analysis
    • Market basket is a widely used analytical tool in the retail industry. Our Market Basket Analytics helps the retailers to target their customers more accurately and identify the cross-selling opportunities


    • Deliver targeted marketing by recognizing and tracking customers who have bought similar products or have a purchase coincidence.

    • Analysis unlocks the doors to a productive cross selling by constantly checking whether the purchase of one product increases the likelihood of the purchase of other products.

    • Obtain the consumer insights using behavior analysis and reposition brand to be relevant with changing consumer needs.

    • Expand the effect of a successful product placement by gaining data on favorable markets, timing, demand and more.

    • Product affinity analysis reveals concealed correlations and affinities that exist among different product groups for enlarged cross selling.