Profitmind agent

Marketing Agent

Is the product the problem, or the page? Every product page audited for search, AI answer engines and conversion. Every fix valued.

Marketing Agent

Why it matters

A markdown is the most expensive way to fix a page.

When a product falls behind, the usual answer is a price cut. Often the product is fine and the page is the problem. A markdown gives margin away and leaves the real problem in place.

01

Not found

It doesn't show up in search, or in AI answers, for the words shoppers actually use.

02

Found, not bought

Shoppers land on the page and leave: missing specs, unclear fit, questions left unanswered.

03

Not recommended

AI assistants can't find the answers on the page, so they point shoppers somewhere else.

How it works

Fix the page before you cut the price.

01
Root-cause diagnosis

Find out why a product is behind.

When a product is behind, the agent finds out why: it isn't getting found, it's found but not converting, it's priced above rivals, or it's out of stock. Each cause goes to the right fix, and to the agent that owns it.

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02
Product page audit

Found by search and AI answer engines.

Shoppers now ask AI assistants as well as search engines. The agent checks every product page against search and against the questions shoppers ask, and shows exactly what's missing.

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03
Every fix valued

One ranked list with every other lever.

Page fixes aren't a separate report. They're valued in dollars and ranked alongside pricing, promotion, inventory and competitive moves, and checked against your strategy. The fix worth the most gets done first.

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An example

One product, before and after.

The plan was a markdown. The agent found the page was the problem, so the fix kept the full price.

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→
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Illustrative example. The agent recommends each action and values it; your team approves it.

Results from Profitmind clients

Batteries Plus Reverses Margin Decline with Zone Pricing Strategy

$4M increases in revenue and profit in the first 9 months of use

$4M
Higher Revenue and Profit in Auto Batteries, First 9 Months
Read More

Retailer Reduces Search Evaluation Time by 85% and Projects Up to $460M in Revenue Uplift

Automated search evaluation hit 92% accuracy and cut a 50-person evaluator team to 8 — contributing to the best online holiday season on record.

85%
Reduction in Evaluator Time
Read More

Specialty Apparel Retailer Discovers $25M Annual Opportunity at Zero Net Working Capital Cost

2% of in-stock SKUs met sell-through targets. Rebalancing found $25M in annual sales opportunity and freed $13M in working capital.

$25M
Annualized Sales Opportunity
Read More

Regional Grocery Chain Identifies Up to $18M in Annual Margin Through Promotional Optimization

80% of promotional spend was in categories with weak response. Calculating optimal discount depth by category identified up to $18M in annual margin.

Up to $18M
Annual Margin Improvement Potential
Read More

Multi-Brand Retailer Finds $7M in Weekly Annualized Opportunities Across Four Brands

97% of recommendations were going unactioned. Closing that gap surfaced $7M in weekly annualized opportunities and saved 1,300 hours.

$7M
Average Weekly Annualized Opportunities
Read More

E-commerce Retailer Projects $2M Annual Revenue Across 10,000 SKUs

10,000 SKUs matched across nine competitors, with actionable pricing gaps surfaced in weeks. The platform was on track to pay for itself in month one.

$2M
Annualized Revenue Opportunity
Read More

Home Decor Retailer Gains $2.5M from Budget-Neutral Marketing Reallocation

The highest-returning channel got $60K. The lowest got $5M. Reallocating the same total budget, with no new spend, delivered $2.5M in revenue.

$2.5M
Revenue Gain from Budget-Neutral Reallocation
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Online Jewelry Retailer Identifies $6–13M Recovery Opportunity After Price-Driven Revenue Decline

Price increases offset rising metal costs but collapsed conversion. Statistical analysis confirmed the cause and identified a $6–13M recovery path.

$6-13M
Annual Revenue Recovery Opportunity
Read More

DIY Retailer Achieves 88% Competitive Coverage Across 19 Competitors with Profitmind Matching

Replacing a manual vendor with AI competitive matching: 19 competitors covered at 88% accuracy, with 130 matches the previous process missed entirely.

88%
Total SKU Coverage at 100% Match Score
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Home Improvement Retailer Achieves 99.9% Competitive Match Accuracy

Manual matching introduced variance and couldn't scale. After 500 feedback inputs, the system reached 99.9% accuracy on 9000+ product matches.

99.9%
High-Confidence Match Accuracy
Read More

Plus-Size Fashion Retailer Unlocks $75M in Conservative Annual Value Through AI Forecasting

$390M in plan overshoot across 16 quarters. Forecasting at item-color-size granularity revealed $75M in conservative annual opportunity.

$75M
Conservative Annual Impact (12% of Revenue)
Read More

Telecom E-commerce Platform Achieves Up to 73% Click-Through Rate Improvement with AI Personalization

Vendors submitted images instead of structured data, starving the recommender of signal. A metadata mining engine lifted CTR by up to 73%.

+73%
Peak CTR Improvement (All Users)
Read More

Footwear Retailer Identifies $12M+ in Immediate Opportunities Across 14,000 SKUs

$850K in one over-stocked subcategory, high-volume SKUs priced 20% above market. Four agents surfaced $12M+ across 14,000 SKUs.

$12M+
Highest-Confidence Opportunities Identified
Read More

Global Footwear Brand Projects $8M Gross Margin Increase on Its Flagship Category

Elasticity analysis showed price increases cost fewer units than expected. Annual gross margin opportunity on the flagship category: $8M.

$8M
Gross Margin Increase, Flagship Category (Annual)
Read More

Regional Home Improvement Retailer Lifts Sales 25% and Profits 15% with Full-Stack Deployment

Analysts buried in Excel, competitive opportunities passing unaddressed. The platform identified $400K in revenue opportunities in its first month.

+25%
Increase in Sales
Read More

Beauty Conglomerate Cuts Forecast Error by 90% Across 13 Countries in 9 Weeks

Forecast models were degrading across 13 markets, with MAPE as high as 45%. Nine weeks of rebuilding brought overall error to 4%

90%
MAPE Reduction
Read More

Fashion Retailer Saves $8M a Year in Working Capital with Demand Forecasting Across 15 Departments

Aggregate forecasts looked accurate. Subclass forecasts were 80% MAPE, exactly where inventory is bought. Profitmind beat the plan 75% of the time.

$8M
Annual Working Capital Saved
Read More

Home Improvement Retailer Identifies €3.5M in a Single Category Within 9 Weeks

A nine-week category pilot generated €3.5M in annualized profit opportunity and 190 discrete weekly actions with quantified SKU-level outcomes.

€3.5M
Annualized Profit Opportunity
Read More

How an Intimate Apparel Retailer Found $14M in Revenue with Profitmind

From $5M tied up in slow-moving inventory to over $1M in category revenue within a month of deployment.

$14M
Projected Incremental Revenue (12 months)
Read More
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Positive ROI within 4–8 weeks of go-live