Conative AI
"AI inventory forecasts and marketing spend optimization."
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Updated 3 Days Ago
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3 Advocates
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2 Verified Clients
Conative AI provides real-time inventory forecasts and connects them with marketing spend. This enables smarter demand planning, allowing you to reduce stockouts and markdowns. The unified dashboard aggregates data automatically, letting AI handle analysis. Marketers can then focus on product performance, campaign optimizations, and knowing when to restock or promote.
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Operations
at a Glance
Who are your typical customers?
Small businesses
What verticals do your typical customers belong to?
Retail & E-commerce
How do you collect and monitor consumers and their data?
Pixels
Is your platform CCPA and GDPR compliant?
Only GDPR
What is your standard 'time-til-live' for clients?
Days
What does a client need to install to start using your service?
Provide data
How do you provide customer service?
Phone support
How do brands measure the success of a campaign using your platform?
Revenue Growth
What integrations do you offer?
CDPs
What is your pricing model?
Pay-per-use
Conative AI's Website Claims...
Our bot logged these claims from Conative AI's website.
Smarter Demand Forecasting
ConativeAI claims that it enables inventory teams to create accurate demand forecasts and intelligent inventory plans with AI.
Unified Analytics Dashboard
ConativeAI claims that it connects inventory systems and marketing channels to automate data within two weeks.
Maximize Revenue
ConativeAI claims that it offers real-time recommendations for product buying and promotions to increase revenue.
BlurbSTAR Case Study
Melinda Maria & Chan Luu
Boosted revenue by AI-driven optimization strategies.
44%
Improvement in YoY revenue
50%
Cost reduction in overstock
1.
Situation
Overstock impacts business efficiency
β
Overstock hampered cash flow and growth
β
Melinda Maria faced high overstock costs
β
Chan Luu had a 25% revenue decline
Melinda Maria faced significant challenges due to overstock costs in their inventory, which affected their cash flow and ability to invest in products with higher demand. The overstock led to inefficient use of resources and hampered the companyβs growth potential. Moreover, Chan Luu was experiencing a decline in year-over-year revenue by 25%, which called for an urgent need to reassess their marketing and inventory strategies. Both companies needed a comprehensive solution to re-align their product stock levels with actual demand and optimize their marketing efforts to ensure they were targeting best-sellers effectively.
2.
Task
Optimize stock and marketing strategy
β
Aim to reduce overstocking by 50%
β
Synchronize inventory with marketing
β
Replenish fast-sellers efficiently
Both Melinda Maria and Chan Luu aimed to leverage data analytics to align their inventory management with real market demand and optimize marketing strategies. Their goal was to reduce overstocking, increase efficient product restocking, and improve overall revenue. This involved utilizing AI-driven insights to identify low-performing SKUs for markdowns, replenishing fast-selling items promptly, and ensuring that marketing investments were not wasted on products that were not in high demand. By synchronizing inventory data with marketing efforts, the companies intended to ensure a harmonious approach that maximized both stock efficiency and sales performance.
3.
Action
Leverage AI for strategic alignment
β
Implemented AI-driven demand insights
β
Reduced SKU counts by 64%
β
Dynamic product mix adjustments
Conative AI provided a robust solution by offering real-time insights into inventory management and marketing optimization. By integrating AI demand projections, Melinda Maria could efficiently identify fast and low-selling products and adjust stock levels accordingly, reducing overstock costs by 50% and lowering SKU counts by 64%. Chan Luu utilized Conative AIβs insights to monitor product performance and marketing effectiveness closely. This allowed them to dynamically adjust their product mix during promotional campaigns, optimize their marketing spend by prioritizing best-sellers, and make strategic inventory purchases ahead of high-demand periods like post-BFCM, resulting in a revenue surge.
4.
Result
Revenue growth and cost reduction achieved
β
Increased revenue by 44% for Chan Luu
β
Reduced overstock costs by 50%
β
Improved average order value by 12%
As a result of implementing Conative AIβs solutions, Melinda Maria successfully reduced its inventory overstock costs by 50% while improving cash flow enough to prioritize stocking of best-sellers. This transformation allowed an impressive realignment of resources towards products with higher turnover rates. For Chan Luu, the use of AI-driven insights facilitated a significant turnaround in YoY revenue from -25% to a robust +44% within one year. Furthermore, by improving their average order value by 12%, they addressed chronic understock issues and solidified their market position through better targeted marketing and inventory synergy, ultimately driving greater profitability.
Keywords
AI DEMAND PROJECTIONS
INVENTORY MANAGEMENT
MARKETING OPTIMIZATION
REVENUE GROWTH
OVERSTOCK COST REDUCTION
Data, Analytics and Insights Q & A
Answers provided by Conative AI
staff
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vetted by Blurbs.