Facts n Data | Industry Details

The world of retail is changing fast. Today's customer have extremely high expectations. With multiple channels at their disposal and loads of information at their fingertips, customers are becoming extremely disloyal to individual brands & retailers. In this rapidly evolving landscape, companies need to stay one step ahead by constantly developing personalized shopper experiences, responsive supply chains and reach customers effectively.

Analytics functions need to evolve to provide rapid insight generation and help retailers generate more value.

Our industry-tested offerings include (but not limited to) :

Shopper segmentation & profiling
Market basket analysis
Purchase sequence analysis
Media mix modelling
Personalization & Recommendation study
New store or site selection study
Store workforce planning
Market clustering
Customer-Product affinity scoring
Demand/Sales forecasting
Inventory optimization
Service-level analysis
Supplier performance analytics
Consumer promotion optimization
Cart abandonment analysis (E-Commerce)
Product recommendation & personalization (E-Commerce)

HOW FACT'n'DATA CAN HELP?

Enhanced customer experience

Get a better view of your customer and their interactions - irrespective of how, when, where and with whom they engage. Harness the power of data analytics to deliver exceptional customer experience ...every time.

Finding optimal locations for a new store

Use our data analytics expertise and market research services to make scouting for new store locations less challenging. We use advanced analytics, competitive intelligence, market research and geo-spatial mapping to remove the guesswork from your process and arrive at options for an optimal & profitable location.

Demand Forecasting

Analyze seasonal trends and historical data to avoid out-of-stock situations or overstock scenarios. Successful retail companies use data analytics to successfully predict future situations and optimize their inventory. Our proprietary tools and domain experts analyze your historical data to provide near real-time actionable supply chain insights.

Price vs cost benefit optimization

A balance of good selling price along with a viable discount are the biggest factors in improving the sell-through rate of products on e-commerce platforms. Our customized algorithm helps in competition identification & tracking, price optimization, offer optimization (discounts/vouchers/coupons/deals/offers) and profitability optimization.

Case Studies

AI Based Recommender Engine for online shopping

Increased campaign success rate and drop in abandoned carts

Increasing forecast accuracy for a US online retailer

Improving the forecast accuracy for an online retailer to prevent overstock / out of stock situations, save storage costs and increase supply chain visibility.

Improving Search Rank for an online brand

Using our proprietary algorithms and tools to improve the company's search ranks for major SKU's, increase revenues and optimize the online ad spend.

INCREASING STORE LEVEL DEMAND FORECAST & REDUCING MISSED SALES OPPORTUNITIES

Reducing missed sales opportunities due to non-availability of a product, increasing the daily sales predictions to 91% and the customer satisfaction by more than 1 NPS over a six-month period.