Retailers are turning to several key solutions, with Analytics and AI at the center to address the needs of the holiday season:
Inflationary Environment
Extended Holiday Season
Digital and Conscious Shopper
Customer-Centric Assortment
Stand out by providing a unique and differentiated assortment that matches the holiday trends
Digital, Seamless Experience
Eliminate friction from the customer experience during a hectic time of year
Competitive Pricing
Pricing and promo strategies need to be designed factoring in competition to enable faster product sell through and boost margins.
Fulfillment
Reach your customers with efficient fulfillment options that make shopping easier than ever
Foundation
Expansion of AI
Optimize with AI. Merchants are increasingly turning to Analytics and AI, including Gen AI, to drive change across all areas of business
Answer the most important questions with Fractal’s range of Advanced Analytics and AI offerings…
Competitive
Assortment
& Price Intelligence
Fulfillment
Optimization
Customer
DNA &
Personalization
For further insights
…And drive real impact for your business to win the holiday season
Competitive Assortment & Pricing Intelligence
reduced forecasting error
through multi-layer Demand Forecasting during Pre & In-Season Planning for a global top sports-fashion retail brand
increase in annual expected revenue
from a weekly promotion planner/optimizer for a leading CPG firm to drive growth and enable customer collaboration
accuracy in matching
from a competitive pricing analysis for a major international retailer
Customer Analytics & Personalization
incremental annual sales
for a Fortune 50 Grocer by establishing end-to-end shopper insights and campaign performance analytics
annualized revenue growth
for a Fortune 50 telecom giant by improving the web experience by eliminating digital friction
increase in gross sales
from a product recommendations-based personalized email campaign for a Global office supplies retailer
Fulfillment Optimization
improvement in service levels
by predicting delivery reliability and enabling early interventions for a CPG leader
reduction in freight costs
for a consumer electronics leader through and systematic modelling and optimization, by decreasing suboptimal and split shipments
accuracy in shipping forecasting
for an Australian logistics provider through SKU mapping and pick-facing