Competitive Intelligence for Grocery

See every competitor. Fuel your price.

Retail competitive intelligence for grocery. More than 7 million competitor prices a day, matched to your items down to the store, inside the same system your team sets price in.

ClearDemand competitive intelligence view showing competitor prices matched to a retailer catalog.

Where does competitive pricing data come from?

When a national chain reprices 40,000 items in a week, you need to know what moved, where, and by how much. ClearDemand collects that data rather than licensing it, and lands it where your team sets price.

7M+
competitive prices collected every day
240+
retailers in the collection network
IDC Leader
in the IDC MarketScape for retail price optimization, 2025 to 2026
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Regional grocers are competing with a data disadvantage

FMI found shoppers visit more than five separate grocery banners in an average month. McKinsey found price perception concentrates on protein and dairy, with eggs, ground beef, chicken, and milk each named by roughly half of shoppers. Your price image is being formed on those items whether you measure it or not.

You do not know where you stand until someone runs a report.
Competitive data is stale, incomplete, or too generic.
You find out a competitor moved after the week is over.
Banner-level data hides store-level reality.
Fresh and private label items are hard to compare.
The data never reaches the price you set.

Capture competitive data you can trust

Competitor prices, promotions, assortment, and availability, collected from websites, apps, and the sites that block most crawlers, at store and zip level. Your key value items refresh most often. The long tail refreshes less.

Intraday pricing intelligence

Monitor fast-changing competitor activity before gaps widen.

Assortment monitoring

Track competitor product, brand, and category coverage.

Availability tracking

See when competitor items are out of stock or unavailable.

competitor source data flowing into a unified catalog.
product match library with pack sizes equalized to price per unit.

Matching is the hard part

Anyone can collect a price. Matching a competitor’s two percent reduced fat gallon to the right item in your file, then matching it again after they rename it, is where competitive intelligence projects fail.

Fresh and prepared categories

Produce, deli, bakery, and meat, with weights and pack sizes equalized. A 12 ounce item is compared on price per ounce, not on shelf price.

Private label against national brand

Your opening price point held against the national brand equivalent, so you find out the gap has closed before a shopper does.

Matching that maintains itself

Matches re-form automatically when a competitor renames an item, changes a pack size, or drops it. Only the ones that need a human decision reach your team, ranked, rather than the whole list.

Your position, store by store

Banner-level data averages away the thing that matters. Two stores in the same banner, forty miles apart, face different competitors and need different prices.

Weighted CPI

Price index by banner, store, market, and zone, weighted by sales or margin rather than a flat item count.

KVI tracking

Your position on milk, eggs, and the rest of the short list shoppers judge you by, refreshed most often.

Assortment gap analysis

Your catalog against each competitor’s full book, so you defend the whole territory rather than only the price tag.

competitive price index by banner, store, and zone.
price recommendation with the competitor move shown as an input.

Add rules and the data acts on itself

Most competitive data arrives as a file and stops there. Here it arrives inside the pricing workflow. Comp Intel plus Rules turns it into a price: you set the rule, competitive movement triggers it, your team reviews what it produced.

Competitive parity rules

Stay within three percent of your nearest competitor on key value items. Hold a set gap to the national brand. Never be beaten on milk.

Hard rules and soft rules

Inviolable policies never break. Best-effort rules flex by the priority you set, and conflicts resolve the way you decided.

Cost-of-rules reporting

The margin impact of every active rule, so the constraints that cost more than they protect are the ones you retire.

Your competitive position, visible in 30 days

Competitive intelligence is the fastest path to value and asks the least of your team. Start with intelligence on its own, add rules when you want the data to act, and add demand science when you are ready.

TODAY
DAY 14
DAY 30

Your competitive set, defined

Your banners, markets, and competitors identified
Your item file loaded
Collection targets configured

Collection running, matches forming

Competitor data flowing daily
Machine matching underway across your catalog
Your team verifying matches in a prioritized queue

Your position, on screen

CPI by banner, store, category, and zone
KVI position against the competitors you chose
Gaps ranked by what they are costing you

Real results from our customers

Retail Pricing And Assortment Automation

A regional grocer cut cleansing time and data management cost without adding headcount, processing more than 7 million competitive data points a day.

10x

faster competitive data cleansing

40%

lower data management costs

From Manual Pricing to $6M+ in Profit: How One Convenience Retailer Transformed Their Margins

$6M+

gross profit within 2.5 years

20%

uplift in gross margin across 10+ key categories

8 hours

saved weekly through automation

Four modules, one demand model

Hold price image, find the margin

Everyday price solved item by item and zone by zone, with your rules applied and the KVIs shoppers watch held sharp.

Fund the offers that earn their keep

Model deal mechanics, depth, and timing against the base price behind them, and see the basket impact before the ad drops.

Clear inventory without giving away margin

Markdown timing and depth priced on demand response and inventory position rather than a blanket percentage off. Shipping Q4 2026.

Frequently asked questions

What is retail competitive intelligence?
How do you match products across retailers when names and pack sizes differ?
How often is competitive pricing data collected?
Is competitive data available at store level or only banner level?
Can we buy competitive intelligence on its own?
How many competitors should a regional grocer track?
What happens to competitive data after it is collected?

See where you actually stand

Pick one category and your three closest competitors. We will show you your position.