Edited is live · custom pricing · last verified 23 Oct 2026 · viability monitor
Edited
EDITED is retail intelligence software that ties trend, assortment and pricing data together for buyers, merchandisers and pricing teams.
If your team already argues about price and assortment with data, EDITED gives you the market context to settle those arguments faster — the named Woolworths (110% price-increase opportunity across 29% of homeware) and PVH (27% sales lift on launch pricing) outcomes are the real sales pitch, not the module list. The catch is operational: this only pays off if someone downstream can actually change prices, buys and site placement. Teams that only want a cheap competitor price feed should look at dedicated scraping tools instead.
Verdict generatedVerified 7d ago · liveness 69/100 · cite: rightaichoice.com/tools/edited
- Mid-to-large retailers with a dedicated insights or pricing team
- Buyers and designers needing trend validation before committing to a buy
- Merchandisers and planners rebuilding good/better/best assortments
- Pricing teams automating adjustments on margin, overstock or conversion triggers
- Small independent retailers without budget or headcount for an enterprise platform
- Teams whose only need is a cheap competitor price-scraping feed
- Organisations with no analyst or pricing capacity to act on the signals EDITED surfaces
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Skip EDITED if you only need a cheap competitor price feed and have no one on staff to turn trend, assortment and pricing signals into actual changes to buys, prices or site placement.
EDITED is sold as modules (Assortment, Pricing, Site Merchandising, Customer Product Matching), so value can require more than one module's worth of spend rather than a single seat price.
EDITED's custom, demo-scoped licensing puts it in the enterprise retail-intelligence bracket alongside suites like Edited's closest retail-analytics peers, and well above the few-hundred-dollars-a-month price-feeds that cover only competitor prices. It makes sense for retailers with a pricing or insights function and enough assortment volume to act on the signals; smaller shops should stay with a price-scraping feed.
In short
Edited — EDITED is retail intelligence software that ties trend, assortment and pricing data together for buyers, merchandisers and pricing teams. Best for Mid-to-large retailers with a dedicated insights or pricing team, Buyers and designers needing trend validation before committing to a buy, Merchandisers and planners rebuilding good/better/best assortments. Pricing is on request (custom quotes).
What is Edited?
Edited — EDITED is retail intelligence software that ties trend, assortment and pricing data together for buyers, merchandisers and pricing teams. Best for Mid-to-large retailers with a dedicated insights or pricing team, Buyers and designers needing trend validation before committing to a buy, Merchandisers and planners rebuilding good/better/best assortments. Pricing is on request (custom quotes).
EDITED is a retail intelligence platform built for the people who commit inventory and set prices: buyers and designers, merchandisers and planners, ecommerce and site merchandising teams, insights analysts, and manufacturers. It is organised around modules you can adopt separately — Assortment (Whitespace Analysis, Trend Analysis, Competitive Benchmarking, Campaign Planning), Pricing, Site Merchandising, and Customer Product Matching — plus AskEDITED, a conversational layer over the retail dataset, and an MCP API for agent and custom workflows. The Pricing module is where EDITED makes its sharpest argument. Rather than scraping competitor prices, it ties price decisions to the same trend and assortment dataset: Price Adjustment flags which products to move and in which direction, Price Architecture optimises good/better/best price points across customer segments, Discounting & Promotions models how to respond to competitor markdowns, Profitability shows which items and price points carry the margin, and Pricing Automation triggers changes off margin targets, overstock, or low-converting products. Outcomes are unusually specific for this category. Woolworths identified a 110% price-increase opportunity across 29% of its homeware assortment; PVH optimised launch pricing into a 27% sales lift, 31% unit growth and 5% category growth; Hollister credited $500k+ incremental revenue to trend identification; PUMA moved 600 options to sale for an additional $200K; Harrods improved revenue per visitor 4%; MANGO gained 900K new online customers with 50% ecommerce revenue growth. A Tariff Management module and a Tariff Tracker cover tariff impact on pricing and sourcing. Against price-scraping tools, EDITED's difference is the connected dataset — trend, assortment and pricing in one place rather than one slice of competitor prices. The site offers a free trial and a demo path rather than published plan prices, so budget expectations get set in conversation with the vendor.
Key features
- Whitespace Analysis to surface product gaps in the assortment
- Trend Analysis with early signals and validated insights
- Competitive Benchmarking across market threats and opportunities
- Campaign Planning tied to trend and assortment data
- Price Adjustment recommendations for increases and decreases
- Price Architecture optimisation across good/better/best tiers
- Discounting & Promotions response modelling versus competitor discounting
- Profitability analysis by item and price point
- Pricing Automation triggered by margin targets, overstock, or low conversion
- Customer Product Matching for benchmarking similar items
- Site Merchandising and product visibility optimisation
- Tariff Management module for tariff impact on pricing and sourcing
- Tariff Tracker for monitoring tariff changes
- AskEDITED conversational interface over the retail dataset
- Market API and MCP API for custom and agent workflows
Behind the verdict
EDITED's core claim is that trend, assortment and pricing should be read off one dataset. That matters most in the Pricing module, where Price Adjustment and Pricing Automation trigger off the same signals as Trend Analysis and Whitespace Analysis. A pricing team using a pure price-scraping feed sees what competitors charge; EDITED also shows whether the item is trending, whether it is overstocked, and where it sits in a good/better/best ladder via Price Architecture. That combination is the reason the published case outcomes are so specific — PUMA moving 600 options to sale for an extra $200K, Woolworths finding a 110% increase opportunity on 29% of homeware, Harrods lifting revenue per visitor 4%. Strengths worth naming: the module structure lets a merchandising team start with Assortment and add Pricing later rather than buying the whole suite on day one; AskEDITED gives non-analysts a conversational route into the data; and the Tariff Management module and Tariff Tracker address a live sourcing-and-pricing problem for import-exposed retailers. Weaknesses to weigh. The platform is web-based, with API access through the Market API and MCP API rather than an on-premise deployment — a constraint if your security model requires the latter. Insight quality depends on how well EDITED's retail dataset covers your categories and geographies, which is the thing to test in an evaluation rather than take on faith. And because the platform spans several teams, value only lands if buying, pricing and site merchandising can all act on what it surfaces; an insights team producing reports nobody prices against is the failure mode. Where it fits: mid-to-large omnichannel and specialty retailers with an insights or pricing function, and manufacturers who need to see how their products are priced and positioned at retail. Where it does not: small independents without budget or analyst headcount, and teams whose only requirement is a competitor price feed. EDITED is quoted after a demo rather than published as a listed plan price, so bring a scoping conversation and a pilot plan to the first call.
Models under the hood
as of 2026-10-23
Limitations
- Insight value depends on the breadth of the underlying retail dataset — validate category and geography coverage for your specific business during evaluation rather than assuming it.
- The platform is modular, which helps staged adoption but means value only lands if buying, pricing and site merchandising teams can actually change decisions when the data says so.
- EDITED runs as a web application with API access via the Market API and MCP API, so an on-premise deployment is not an option.
- The site routes buyers to a demo or free trial rather than publishing plan prices, so budget expectations get set in a scoping conversation.
as of 2026-10-23
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Is Edited still active?
Edited is live · custom pricing · last verified 23 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Edited? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about Edited?
What people actually say about Edited — is it worth it?
Our community sentiment research written Jul 24, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Edited— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 23 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Edited 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed description, switching out, hidden costs, switching in, limitations, use cases, who should skip it, setup time, pricing fit, our verdict, summary, who it suits, pricing tiers, features
- — changed pricing tiers, who it suits, description, our verdict, features, who should skip it, summary
- — changed pricing page
- — changed pricing tiers
- — changed hidden costs, switching in, summary, limitations, switching out, who it suits, who should skip it, our verdict, pricing fit, setup time, description, use cases
- — changed limitations, pricing page
Showing the 6 most recent of 20 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Edited cost in 2026?
Edited: Pricing is on request (custom quotes). Pricing last verified 23 Oct 2026.
Plans compared
Every published Edited tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Enterprise | Custom | quote | Mid-to-large retailers and manufacturers with a pricing or insights function that can act on trend and assortment signals across buying, ecommerce and merchandising.Adds: The single published tier: demo-led scoping with onboarding, covering the Assortment, Pricing, Site Merchandising and Customer Product Matching modules, AskEDITED, Market and MCP API access, and Tariff Management. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Edited's pricing actually pencils out — and where peers do it cheaper.
EDITED's custom, demo-scoped licensing puts it in the enterprise retail-intelligence bracket alongside suites like Edited's closest retail-analytics peers, and well above the few-hundred-dollars-a-month price-feeds that cover only competitor prices. It makes sense for retailers with a pricing or insights function and enough assortment volume to act on the signals; smaller shops should stay with a price-scraping feed.
Has Edited's pricing changed?
No plan price for Edited has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Edited?
Pick Edited if you are Mid-to-large retailers with a dedicated insights or pricing team, Buyers and designers needing trend validation before committing to a buy, Merchandisers and planners rebuilding good/better/best assortments, Pricing teams automating adjustments on margin, overstock or conversion triggers.
Look elsewhere if you are Small independent retailers without budget or headcount for an enterprise platform, Teams whose only need is a cheap competitor price-scraping feed, Organisations with no analyst or pricing capacity to act on the signals EDITED surfaces, Retailers who need an on-premise deployment rather than a web-based platform with API access.
Skip it if Skip EDITED if you only need a cheap competitor price feed and have no one on staff to turn trend, assortment and pricing signals into actual changes to buys, prices or site placement.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Edited actually fits — and what changes day-one when you adopt it.
You are committing to a seasonal buy and want to know which trends have early signal versus which are already saturated, so you run Trend Analysis and Whitespace Analysis against the competitive set before signing off.
Outcome: You enter the buy with validated trend evidence and named assortment gaps instead of relying on instinct, and can defend the range plan to merchandising with market data.
A competitor starts discounting a category you carry, and you need to decide whether to match, hold premium positioning, or move inventory — you model the response in Discounting & Promotions and check margin by item in Profitability.
Outcome: You move specific products rather than blanket markdowns, and can set Pricing Automation rules on margin targets or overstock so the routine adjustments stop eating your week.
Revenue per visitor is flat, so you use Product Positioning and Site Merchandising to find products that are under-exposed on site versus how they perform in the market.
Outcome: You re-place and re-surface products where visibility is the constraint — the same lever Harrods used for a 4% improvement in revenue per visitor.
Use cases
- Spot early trends and validate them with data before committing to a seasonal buy.
- Benchmark pricing and assortment against competitors in real time.
- Automate price adjustments based on margin targets or overstocked inventory.
- Find product visibility issues and fix site merchandising to lift revenue per visitor.
- Optimise discounting and promotions to protect margin while clearing inventory.
- Identify price increase opportunities across the assortment, as Woolworths did on 29% of its homeware range.
- Monitor tariff impacts and adjust pricing and sourcing accordingly.
- Benchmark similar products in the market to keep prices competitive while reflecting product value.
Setup time & first value
How long it actually takes to get something useful out of Edited — broken out by persona, not the marketing-page minute.
Expect a scoped onboarding rather than a same-day signup: the site offers a free trial and a demo, and the vendor runs a structured evaluation. Plan on days to first useful insight for a single module with one team, and weeks for multi-module rollout across buying, pricing and site merchandising, with data coverage for your categories confirmed early.
Switching to or from Edited
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From spreadsheet-based competitor price tracking: replace manual price checks with Price Adjustment and Competitive Benchmarking, then add Pricing Automation once your thresholds are agreed.
- →From a standalone price-scraping feed: keep it if you need raw scrape volume, and layer EDITED's Pricing module on top for trend and assortment context around each price move.
- →From in-house BI dashboards: pull the same market signals through the Market API or MCP API instead of maintaining your own competitor data pipeline.
- ↗To a price-scraping feed: if you only ever used the Pricing module for competitor price checks, a dedicated scraping tool covers that narrower need at lower cost.
- ↗To your own BI stack: export or query via the Market API and MCP API if you want the signals inside internal dashboards rather than in EDITED's interface.
Resources & guides
- Resourceedited.com
Blog
Check out the latest industry topics everyone is talking about and learn how retail intelligence can empower your team.
- Resourceedited.com
Resources Catalog
Get helpful best practices so you can stay ahead of the latest retail trends.
- Resourceedited.com
Separating Blips From Real Trends
Is it a viral moment or a long-term shift? Separating blips from trends isn't just analytical—it's operational. Discover how to use consistency across channels and product attribute segmentation to make smarter buying decisions.
- Resourceedited.com
Why Most Retail AI Tools Fail: The Retail Data Problem
Check out the latest industry topics everyone is talking about and learn how retail intelligence can empower your team.
- Resourceedited.com
The New Rules of Brand Discovery: How “Search & Merch” Is Driving Visibility Today
Explore the impact of AI search on consumer behavior and discover the revenue potential it brings to your business.
- Resourceedited.com
The Growth Categories Shaping Fashion’s Next Phase: Jewelry, Watches, and Handbags
Explore how jewelry, watches, and handbags are becoming the primary growth drivers in fashion as consumers shift toward investment-grade accessories and status purchases.
- Resourceedited.com
From Vendor to Trusted Partner: How Manufacturers Can Win with Retail Intelligence
Learn how manufacturers can transition from vendors to strategic partners by using retail intelligence to provide data-backed insights and anticipate retailer needs. Discover how EDITED’s platform helps you build credibility, guide assortment decisions, and drive measurable growt
- Resourceedited.com
Tariff Turbulence: Why Agility Will Define Fashion in 2026 Tariff Turbulence: Why Agility Will Define Fashion in 2026
Check out the latest industry topics everyone is talking about and learn how retail intelligence can empower your team.
Tutorials & Learning
YouTube returned 6 videos for “Edited”, and we withheld 6: 6 could not be judged, because “Edited” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Edited.
Official links
What are the best Edited alternatives?
The closest alternatives to Edited we list are BrandWell, Extractor and VeilStrat. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| BrandWell | Paid | Pricing not published | — |
| Extractor | Freemium | Pricing not published | — |
| VeilStrat | Freemium | Pricing not published | — |
Alternatives to Edited
View all
Tools that pair well with Edited
Common stack mates teams adopt alongside Edited, with the specific reason each pairing earns its keep.
BrandWell
BrandWell pairs MarketPulse intent data with RankWell AI SEO content writing so B2B teams reach buyers mid-research.
Extractor
Store-level competitor pricing, MAP compliance and assortment matching across 1,000+ retailers.
VeilStrat
Track AI adoption signals — real hiring, product and workflow data — so GTM teams reach companies buying AI at the right moment.
Edited vs its closest rival
Edited's closest head-to-head is with Flexport Ai — If your business moves physical goods globally and you need predictive logistics with automated compliance, Flexport AI is the clear choice. If you're a retailer focused on trend forecasting, competitive pricing, and assortment planning, Edited is built for that. Both target mid-to-large enterprises, but their domains don't overlap—choose based on whether your priority is supply chain or retail intelligence. Verdict generated
Frequently asked questions
Best-of guides
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