ClearDemand pricing: four packages, scoped to the size and complexity of your pricing operation
Every quote is built from what you track, what you put under management, and how complex your rules and price zones are.
ClearDemand collects and matches the competitive data itself. You never license a third-party feed to make the platform work.
ML-powered matching across hard-to-access sites and fresh categories, with 24/7 monitoring and correction.
Competitive Price Index by item, category, zone, and store, plus competitive gap analysis, KVI tracking, and assortment gap analysis.
CPI targets, margin guardrails, step and limit rules, rounding and ending digits, zone rules, and state minimum compliance.
Prioritized review queues, approvals and roles, price recommendations, POS execution, dashboards, and reporting.
Cross-product price relationships across size, pack, brand tier, and private label.
Price recommendations built on measured demand response rather than a fixed rule, run through the RSIM engine.
Forward-looking revenue, gross profit, and unit projections for every recommendation before you accept it.
Shows what a price move does to the rest of the basket, not just to the item you changed.
Build, stack, and calendar promotions against base price and competitive position, with forecast and post-event measurement.
What-if scenarios and value measurement, priced as add-ons to price optimization.
ClearDemand collects and matches the competitive data itself. You never license a third-party feed to make the platform work.
ML-powered matching across hard-to-access sites and fresh categories, with 24/7 monitoring and correction.
Competitive Price Index by item, category, zone, and store, plus competitive gap analysis, KVI tracking, and assortment gap analysis.
CPI targets, margin guardrails, step and limit rules, rounding and ending digits, zone rules, and state minimum compliance.
Prioritized review queues, approvals and roles, price recommendations, POS execution, dashboards, and reporting.
Cross-product price relationships across size, pack, brand tier, and private label.
Price recommendations built on measured demand response rather than a fixed rule, run through the RSIM engine.
Forward-looking revenue, gross profit, and unit projections for every recommendation before you accept it.
Shows what a price move does to the rest of the basket, not just to the item you changed.
Build, stack, and calendar promotions against base price and competitive position, with forecast and post-event measurement.
What-if scenarios and value measurement, priced as add-ons to price optimization.
ClearDemand collects and matches the competitive data itself. You never license a third-party feed to make the platform work.
ML-powered matching across hard-to-access sites and fresh categories, with 24/7 monitoring and correction.
Competitive Price Index by item, category, zone, and store, plus competitive gap analysis, KVI tracking, and assortment gap analysis.
CPI targets, margin guardrails, step and limit rules, rounding and ending digits, zone rules, and state minimum compliance.
Prioritized review queues, approvals and roles, price recommendations, POS execution, dashboards, and reporting.
Cross-product price relationships across size, pack, brand tier, and private label.
Price recommendations built on measured demand response rather than a fixed rule, run through the RSIM engine.
Forward-looking revenue, gross profit, and unit projections for every recommendation before you accept it.
Shows what a price move does to the rest of the basket, not just to the item you changed.
Build, stack, and calendar promotions against base price and competitive position, with forecast and post-event measurement.
What-if scenarios and value measurement, priced as add-ons to price optimization.
ClearDemand collects and matches the competitive data itself. You never license a third-party feed to make the platform work.
ML-powered matching across hard-to-access sites and fresh categories, with 24/7 monitoring and correction.
Competitive Price Index by item, category, zone, and store, plus competitive gap analysis, KVI tracking, and assortment gap analysis.
CPI targets, margin guardrails, step and limit rules, rounding and ending digits, zone rules, and state minimum compliance.
Prioritized review queues, approvals and roles, price recommendations, POS execution, dashboards, and reporting.
Cross-product price relationships across size, pack, brand tier, and private label.
Price recommendations built on measured demand response rather than a fixed rule, run through the RSIM engine.
Forward-looking revenue, gross profit, and unit projections for every recommendation before you accept it.
Shows what a price move does to the rest of the basket, not just to the item you changed.
Build, stack, and calendar promotions against base price and competitive position, with forecast and post-event measurement.
What-if scenarios and value measurement, priced as add-ons to price optimization.
ClearDemand collects and matches the competitive data itself. You never license a third-party feed to make the platform work.
ML-powered matching across hard-to-access sites and fresh categories, with 24/7 monitoring and correction.
Competitive Price Index by item, category, zone, and store, plus competitive gap analysis, KVI tracking, and assortment gap analysis.
CPI targets, margin guardrails, step and limit rules, rounding and ending digits, zone rules, and state minimum compliance.
Prioritized review queues, approvals and roles, price recommendations, POS execution, dashboards, and reporting.
Cross-product price relationships across size, pack, brand tier, and private label.
Price recommendations built on measured demand response rather than a fixed rule, run through the RSIM engine.
Forward-looking revenue, gross profit, and unit projections for every recommendation before you accept it.
Shows what a price move does to the rest of the basket, not just to the item you changed.
Build, stack, and calendar promotions against base price and competitive position, with forecast and post-event measurement.
What-if scenarios and value measurement, priced as add-ons to price optimization.
How is each package priced?
Every quote is built from the same inputs, so the number moves with the scope of the work rather than the size of your team.
What every ClearDemand package includes
The competitive data, the science underneath it, and the team that lands the integration come with all four packages.
The competitive price feed
Glass box recommendations
One demand model under every module
Nine patents of pricing science
Implementation and project management
Role-based access and SSO
What data does ClearDemand need from you?
Requirements scale with the package. Competitive intelligence starts with a product catalog, and each rung up the ladder adds the data the science needs.
Item, description, UPC, brand, size, and category hierarchy. This is what product matching runs against, so it is required in every package.
Store, zone, banner, and market structure. Sharing it unlocks CPI reporting at the location and zone level, and it lets ClearDemand tie specific competitor store locations to the stores nearest them.
Your current retail price by item and location. Price is what makes CPI reporting possible, which is the fastest unlock in competitive intelligence.
Landed or list cost by item. Cost unlocks margin guardrails and penny-profit rules.
Size, pack, brand tier, and private label relationships. These drive cross-product parity rules.
Item-level sales by store and week. Sales data unlocks weighted CPI reporting, so competitive position is measured against what actually moves.
Transaction-level detail. TLOG is what makes cannibalization, halo, and basket-level impact measurable.
Past offers, mechanics, and vendor funding. History raises promotional forecast accuracy from the first cycle.
ClearDemand collects and matches this itself, in every package.
Item, description, UPC, brand, size, and category hierarchy. This is what product matching runs against, so it is required in every package.
Store, zone, banner, and market structure. Sharing it unlocks CPI reporting at the location and zone level, and it lets ClearDemand tie specific competitor store locations to the stores nearest them.
Your current retail price by item and location. Price is what makes CPI reporting possible, which is the fastest unlock in competitive intelligence.
Landed or list cost by item. Cost unlocks margin guardrails and penny-profit rules.
Size, pack, brand tier, and private label relationships. These drive cross-product parity rules.
Item-level sales by store and week. Sales data unlocks weighted CPI reporting, so competitive position is measured against what actually moves.
Transaction-level detail. TLOG is what makes cannibalization, halo, and basket-level impact measurable.
Past offers, mechanics, and vendor funding. History raises promotional forecast accuracy from the first cycle.
ClearDemand collects and matches this itself, in every package.
Item, description, UPC, brand, size, and category hierarchy. This is what product matching runs against, so it is required in every package.
Store, zone, banner, and market structure. Sharing it unlocks CPI reporting at the location and zone level, and it lets ClearDemand tie specific competitor store locations to the stores nearest them.
Your current retail price by item and location. Price is what makes CPI reporting possible, which is the fastest unlock in competitive intelligence.
Landed or list cost by item. Cost unlocks margin guardrails and penny-profit rules.
Size, pack, brand tier, and private label relationships. These drive cross-product parity rules.
Item-level sales by store and week. Sales data unlocks weighted CPI reporting, so competitive position is measured against what actually moves.
Transaction-level detail. TLOG is what makes cannibalization, halo, and basket-level impact measurable.
Past offers, mechanics, and vendor funding. History raises promotional forecast accuracy from the first cycle.
ClearDemand collects and matches this itself, in every package.
Item, description, UPC, brand, size, and category hierarchy. This is what product matching runs against, so it is required in every package.
Store, zone, banner, and market structure. Sharing it unlocks CPI reporting at the location and zone level, and it lets ClearDemand tie specific competitor store locations to the stores nearest them.
Your current retail price by item and location. Price is what makes CPI reporting possible, which is the fastest unlock in competitive intelligence.
Landed or list cost by item. Cost unlocks margin guardrails and penny-profit rules.
Size, pack, brand tier, and private label relationships. These drive cross-product parity rules.
Item-level sales by store and week. Sales data unlocks weighted CPI reporting, so competitive position is measured against what actually moves.
Transaction-level detail. TLOG is what makes cannibalization, halo, and basket-level impact measurable.
Past offers, mechanics, and vendor funding. History raises promotional forecast accuracy from the first cycle.
ClearDemand collects and matches this itself, in every package.
Item, description, UPC, brand, size, and category hierarchy. This is what product matching runs against, so it is required in every package.
Store, zone, banner, and market structure. Sharing it unlocks CPI reporting at the location and zone level, and it lets ClearDemand tie specific competitor store locations to the stores nearest them.
Your current retail price by item and location. Price is what makes CPI reporting possible, which is the fastest unlock in competitive intelligence.
Landed or list cost by item. Cost unlocks margin guardrails and penny-profit rules.
Size, pack, brand tier, and private label relationships. These drive cross-product parity rules.
Item-level sales by store and week. Sales data unlocks weighted CPI reporting, so competitive position is measured against what actually moves.
Transaction-level detail. TLOG is what makes cannibalization, halo, and basket-level impact measurable.
Past offers, mechanics, and vendor funding. History raises promotional forecast accuracy from the first cycle.
ClearDemand collects and matches this itself, in every package.
From manual pricing to $6M+ in profit: How one convenience retailer transformed their margins
How one grocery retailer used price optimization to boost profit +2.78%
How one food distributor saw $719K in margin growth with price optimization
How fast does a package start paying for itself?
Start with competitive intelligence and expand at your pace.
Scoping and data mapping
Your data loaded and matched
Competitive intelligence, live
Rules-based pricing, live
Is ClearDemand priced for your operation?
ClearDemand is built for regional grocery, convenience, and wholesale operators carrying real assortment and organizational complexity. These two lists will tell you quickly whether a scoped conversation is worth your time.
ClearDemand fits when
ClearDemand is the wrong fit when
Pricing questions, answered
Start making pricing decisions you can trust
See what your pricing can do when competitive data, demand science, and promotions finally work together.
