An AI assistant that handles the data-heavy grunt work — pulling sales data, benchmarking prices, analyzing sell-through, building category and merchandising reviews — so your analysts spend less time in spreadsheets and more time on the judgment calls that actually move the business.
The Problem
Category managers are expected to deliver pricing recommendations, performance reviews, and assortment decisions on tight timelines. But the data lives across sales, inventory, market, and vendor systems — and pulling it together is still manual.
Pulling sales data, calculating share shifts, benchmarking prices, and formatting slides burns days of analyst time before the actual analysis even starts.
Comparing your prices against competitive sets means exporting data, matching items by hand, and rebuilding the analysis every review cycle.
Insights from last season's performance live in email threads and one-off decks. When the next planning cycle starts, teams rebuild the analysis from scratch.
The Solution
RQVST does the analyst's grunt work — data pulls, share calculations, price benchmarks, performance reviews — so your team can focus on the judgment and strategy that actually drives category growth. Ask in plain English, get answers grounded in your data.
Pull share trends, price gaps, sell-through rates, and assortment metrics into a structured review. RQVST does the data collection and calculation so you focus on the story.
Reviews in minutes, not days
Automatically match comparable items and benchmark prices across brands, sizes, and retailers. Flag pricing outliers and quantify the gap to competitive sets.
Always know where you stand on price
Measure promotion effectiveness, markdown timing, and sell-through rates. Compare tactics across categories and seasons so you can double down on what actually drives margin and revenue.
Every tactic measured, every learning captured
Every claim is verified against actual query results from your sales and market data. When RQVST says share dropped 1.8 points, it shows you the exact query and source rows.
Zero hallucinated numbers
Score every item on revenue contribution, margin, turns, and growth trend. Identify underperformers for exit and quantify the working capital you can free up.
Data-driven assortment decisions
Every analysis, recommendation, and outcome is logged. When the next review cycle starts, RQVST recalls past findings so your team builds on what it already knows.
Learnings compound, not repeat
How It Works
Connect your sales, inventory, market, and vendor data. RQVST maps your category hierarchy so your team can ask questions in plain English.
Ask a quick question or launch a deep investigation. RQVST pulls the data, runs the calculations, and verifies every number against source queries.
Get structured findings with evidence: share shifts, pricing gaps, sell-through rates, assortment scores. Every claim links back to the underlying data.
Act on recommendations and track outcomes. RQVST remembers what worked so your next review cycle starts smarter than the last.
Use Cases
RQVST handles the analysis behind category reviews, vendor meetings, pricing decisions, and seasonal planning — so your team spends less time pulling data and more time making decisions.
Share trends, price index, sell-through rates, and assortment health in one automated scorecard.
"Build a Q4 category review with share, pricing, and performance analysis"
Measure sell-through, markdowns, and margin impact across campaigns and seasons. Compare performance across periods.
"Which campaigns and tactics drove revenue without diluting gross margin?"
Compare prices against competitive sets by matching similar items on hierarchy, attributes, and price tier.
"Show me where we're priced more than 10% above the category average"
Evaluate vendor performance on fill rate, margin contribution, delivery performance, and growth trend before line reviews.
"Rank our top 10 vendors by margin contribution and on-time delivery"
Why RQVST
BI tools show you charts. RQVST does the analyst's grunt work — pulls the data, runs the calculations, verifies the numbers — so your team spends less time wrangling spreadsheets and more time on the strategic thinking that wins vendor meetings and category reviews.
Today's Process
Export sales data, clean in Excel
Manually match items for price comp
Rebuild performance analysis each season
Category review takes 2-3 days
Past learnings lost in email threads
With RQVST
Ask a question, get verified answers
Auto item matching and price benchmark
Sell-through and performance on demand
Category scorecard in minutes
Institutional memory that compounds
Join the private beta and see how RQVST can cut your category review prep from days to minutes — grounded in your own sales, inventory, and market data.
Private beta is open for category, merchandising, and brand teams. No credit card required.