Retail Analytics
Develop unprecedented insights tied to plans
Trusted by leaders across industry verticals
Transform retail planning with AI and M/L powered analytics to improve alignment of plans to business strategies and market needs.
Leverage embedded retail analytics to drive improvements to retail planning processes such as merchandise financial planning. Incorporate insights into market size, share and trends, assortment and buying towards better localization and competitive positioning. Pricing and promotion planning with improving ASP and promotional effectiveness. Allocation and replenishment planning by improve in-stock and forecast accuracy.
Top reasons organizations are upgrading their retail analytics capabilities
Incorporate Varied Data Sources
Use integrated API’s for both structured and unstructured data sources
Rich Scenario Analysis
Enable scenario planning capabilities for rapid simulation and what-if analysis
Traceable and grounded analytics
Apply interactive read/write capabilities for actionable analytics and easy explainability of results
Scalable future-proof platform
Deliver value faster using our natively cloud based platform
Use cases favored by our clients
- Store Availability Analytics to find the availability of any product at the stores of a specific retailer or competition
- Store Segmentation / Classification Analytics by considering demographics / income information from census data and other data to understand consumer segments with similar affinity profiles and provide consistent experience to the target consumer groups
- Competitive Analytics to compare price across retailers as well as competitive intensity in terms of item count, pricing and promotions by channel, region, market segment for a product group or class
- Assortment Analytics to compare assorted products on price and ratings and tailor the assortments to meet local market conditions and floor or fixture constraints etc.
- Customer Sentiment Analytics using labeled, unlabeled reviews and voice of the customer based analysis
- Market Size and Share by consumer segment (age group, income, family status) and product profile or category
- Category Risk and Opportunity Analytics based on price, consumer affinity, product buzz, promotion effectiveness etc.
- Store Analytics related to post game around out of stock (OOS) identification, root cause analysis or promotion execution monitoring
"Now when we hear things like, "This has been the most important improvement or biggest improvement to my mental health" to "I have never, ever have to tell a customer I'm out of something." Those are the moments when you know we have got it right."
Vice President of Engineering and Quality Assurance
"With o9, we had visibility and we were able to save on overtime. So we’re talking about unprecedented volumes and we didn't have to throw unproductive volume or dollars to that. We were able to do it properly. "
Demand Planning Manager
"The capability that we've enabled now allows our users both upstream and downstream to look at the actions that have been taken in the supply chain and the decisions that have been made all in one place."
Head of Technical Programs
"We had a significant reduction in expedited costs. Our target was 4 to 6 million dollars. And we achieved close to 9 million dollars…"
Vice President of Supply Chain COE
"Creating high-level financial plans and targets for our biggest regional channels and top product categories has been game-changing. It has led to more strategic conversations, better quality, and more accurate plans, and grounded us to unlock long-term growth."
Director of Global Planning
