Stackline Advisor – our new AI agent – connects to all commerce data, such as sales, market share, advertising, pricing, and more to allow teams to interact with that information through natural language. Ask a question. Receive a structured answer grounded in real data. No dashboards to configure, no spreadsheets to reconcile, no manual chart building required. Advisor saved retail teams more than 100,000 hours of work last month – time previously spent pulling data, building slides, and assembling analyses by hand. We analyzed more than 23,000 projects submitted by over 1,600 users across 380+ companies to understand exactly how the agent is assisting our clients.
10 ways teams are using Advisor
Across thousands of projects and requests clients submitted to Advisor last month, the ten workflows highlighted below account for the most popular use cases.
[01] Competitive Analyses
Competitive benchmarking represents approximately 18% of total Advisor project requests, making it the most common workflow across the platform.
Building competitive analyses and evaluating consumer trends is one of the most time-intensive components of any retail strategy. It typically requires consolidating pricing data, market share movement, and assortment trends across multiple competitors, often spanning multiple systems. Advisor simplifies this significantly.
"Why is our brand struggling to grow market share in the Protein Bar category this year vs. Q1 2025?
— Global consumer goods company
[02] Pricing & Promotions
Pricing and promotional analysis represent approximately 15% of total project requests, particularly following major retail events such as Prime Day, Big Spring Sale, and Black Friday.
Post-event reporting often requires comparing performance across brands, formats, and time periods, workflows that are typically manual and require consolidating multiple datasets. Advisor automates that process, generating structured summaries showing performance changes, promotional lift, and competitive movement across promotional windows.
"Can you give me a recap of what happened in the fresh dog food segment on Amazon during Big Spring Sale and evaluate market share changes that were caused from competitor promotions?"
— Pet nutrition brand
[03] Innovation & Product Launch
Innovation planning represents more than 10% of Advisor requests across organizations. Teams preparing new product launch strategies often need to evaluate format performance, competitive assortments, and whitespace opportunities before committing to a direction.
Advisor analyzes historical performance data across comparable products and returns structured recommendations to support product strategy decisions, replacing weeks of manual category research with a single, data-grounded query.
"Our team is interested in launching a new SKU, can you pull L52W performance between whole bean vs. ground coffee and provide a recommendation for what format would be best? Could you also include details on the best pack size, price point, and what type of ad budget is needed for launch?"
— A global beverage manufacturer
[04] Search & Share of Voice
Search and share-of-voice analysis represents just below 10% of project requests across the platform. Search visibility often reflects emerging demand patterns before they appear in sales results, making it one of the most forward-looking signals in retail strategy.
Advisor integrates keyword-level search data, organic rankings, advertising performance, and AI shopping question volumes to generate visibility summaries across brands and competitors in a single query.
"Analyze the Amazon energy drink category YTD and estimate total, branded and unbranded share of voice for my brand and then compare that to other top brands in the space."
— Global beverage brand
[05] Growth Diagnostics
Growth diagnostics workflows span nearly 9% of project requests. When performance changes, teams need to determine what caused the shift, pricing, advertising, competition, traffic, or availability, often under tight time pressure ahead of a leadership or retail partner meeting.
Advisor evaluates multiple performance signals simultaneously and produces structured explanations supported by data and builds an entire PowerPoint presentation that gives exact clarity on what elements caused the sales growth shifts.
"Why did our market share increase in irons at Target the week of March 1–7? Was it driven by a specific iron or was it driven by an issue with a competitor?"
— Consumer appliance brand
[06] Advertising ROI
Advertising optimization workflows are used by teams across 8% of project requests. Clients often want to evaluate their advertising performance versus the competitor peer set and then identify the best path forward. Advisor intakes your budget and goals and then models performance scenarios and generates investment recommendations supported by projected outcomes, giving teams the clarity they need to make faster, more confident media decisions.
"What would be my potential return on an extra £35k investment on Amazon paid search for our brand if we wanted to target competitive terms?"
— Global beauty brand
[07] Category Strategy
Category landscape reviews are widely used across strategic planning cycles, for retail buyer meetings, internal leadership presentations, and annual planning sessions alike. This use case drove 8% of project requests within Advisor over the past month.
Advisor generates market-level summaries including trend movement, competitive changes, entrants and exits, whitespace opportunities, and category growth patterns, the big-picture context teams need without a week of analyst work.
"I'd like a category overview for unlocked cell phones on Amazon US 2025 vs. last year — market share changes, share of voice, traffic, category entrants and exits, whitespace opportunities. Can you prepare an executive summary and PPT presentation for a leadership meeting?"
— Consumer electronics company
[08] Forecasting & Planning
Forecasting workflows support quarterly and annual planning cycles across 7% of Advisor project requests. Teams use Advisor to model potential outcomes across different pricing, investment, and portfolio strategies, and to walk stakeholders through side-by-side scenarios with confidence.
"We have $1.3M to spend in paid search for Q2 2026. Can you determine how much budget we should allocate to each product within this segment that will maximize our incremental sales?"
— Global CPG company
[09] Conversion & Content
Conversion analysis workflows focus on identifying underperforming products and turning traffic into sales through targeted adjustments – these projects represent 6% of Advisor requests.
Advisor identifies products with strong traffic but low conversion rates, benchmarks performance across markets and time periods, and suggests prioritized improvements across enhanced images, A+ content, titles, keywords, and pricing.
"Within our catalog, identify 5 top-selling SKUs with conversion rate challenges — provide keyword and content recommendations where increasing paid spend could improve conversion."
— Premium eyewear brand
[10] Inventory & Operations
Inventory projections and scenario planning represent 4% of Advisor requests. Out-of-stock events, regional gaps, and forecasted shortfalls need to be surfaced and communicated clearly before retailer operations meetings or internal supply chain reviews.
Advisor evaluates inventory levels, demand forecasts, and availability patterns to identify potential risk areas, connecting operational data to the revenue impact story leadership needs to see.
"When will we run out of stock so our retail partner can order from direct import with 35 days of notice?"
— Office products manufacturer
What this means for retail teams
Across thousands of client interactions with Advisor last month, a consistent pattern has emerged: teams are using this new AI agent to accelerate – and improve – the work that supports decision-making. The result is more than 100,000 hours saved – time that was previously consumed by manual data pulls, spreadsheet reconciliation, and slide assembly can now be allocated back to higher-value, creative, strategic work.
Managers, planners, and strategists gain faster access to structured insights. Analysts spend less time assembling data and more time interpreting results. The outcome is faster decisions, more consistent analysis, and most importantly – a big competitive advantage for Stackline clients.
