A Danish grocery price-comparison app needing a pilot to verify current everyday/regular shelf prices (not just promos) across Lidl, Føtex, Netto, MENY, and SPAR — with EAN/GTIN and a normalized feed.

Use Case

Grocery Price Comparison (pilot)

Region

Denmark

Retailers

Lidl, Føtex, Netto, MENY, SPAR

Danish Retailers

Regular Shelf

Prices (not just promo)

EAN / GTIN

Where Available

One Normalized

API / Feed

Contact Sales

Key Takeaways

Actowiz ran a coverage pilot for a Danish grocery price-comparison app across five retailers — Lidl Denmark, Føtex, Netto, MENY, and SPAR — with the critical requirement of current everyday/regular shelf prices, not just weekly-leaflet promotions. For each product the pilot captured name, regular price, promotional price separately, EAN/GTIN where available, brand, package size, unit price, category, availability, retailer, and a last-updated timestamp. The pilot verified real coverage per retailer (MENY and SPAR especially) on actual sample data before scaling, and confirmed all five could be combined into one normalized, regularly-refreshed API/feed for production.

What did the client need?

The client is developing a Danish grocery price-comparison app and wanted a pilot to verify actual data coverage across five retailers — Lidl Denmark, Føtex, Netto, MENY, and SPAR — before a larger agreement. Their most important requirement was current everyday/regular shelf prices, not just promotional or weekly-leaflet prices.

They needed per-product name, regular price, promo price separately, EAN/GTIN where available, brand, package size, unit price, category, availability, retailer, and a last-updated timestamp — with production delivery via a maintained API or refreshed feed, and MENY and SPAR coverage confirmed on real sample data.

What made this hard?

Regular vs promo prices. Everyday shelf prices — harder to capture than leaflet promos — were the priority and had to be separated from promotional prices.
Coverage verification. Actual per-retailer coverage (especially MENY and SPAR) had to be proven on real sample data, not asserted.
EAN/GTIN capture. Product identifiers had to be captured where available for reliable matching.
Five-retailer normalization. All five had to combine into one normalized schema and feed.
Production maintainability. A maintained API/refreshed feed was needed for production.

How did Actowiz solve it?

Actowiz ran a real-sample pilot verifying regular-price coverage per retailer, then confirmed a normalized production feed across all five.

Approach

Regular-price capture. Everyday shelf prices captured, with promo prices held separately.
Coverage pilot. Real sample data per retailer to verify actual coverage before scaling.
EAN/GTIN + unit price. Identifiers and unit prices captured for matching and comparison.
Five-retailer normalization. Lidl, Føtex, Netto, MENY, SPAR combined into one schema.
Maintained feed. Production delivery via a refreshed API/feed.

Data Attributes / Fields

Field	Description
product_name	Product name
regular_price	Current regular/shelf price
promo_price	Promotional price, separately when applicable
ean_gtin	EAN/GTIN where available
brand / package_size	Brand and pack size/quantity
unit_price	Unit price
category / availability	Category and stock status
retailer / updated_at	Retailer and last-updated timestamp

What were the results?

Verified coverage. Actual per-retailer coverage confirmed on sample data before scaling.
Everyday prices captured. The priority — regular shelf prices — delivered, distinct from promos.
Matching-ready. EAN/GTIN and unit prices enabled reliable cross-retailer comparison.
One production feed. All five retailers combined into one normalized, refreshed feed.

Project at a Glance

Metric	Value
Use Case	Grocery price comparison (pilot → production)
Region	Denmark
Retailers	Lidl, Føtex, Netto, MENY, SPAR
Priority	Current everyday/regular shelf prices
Identifiers	EAN/GTIN, unit price
Delivery	One normalized API / refreshed feed
Approach	Coverage pilot before scaling

Client Feedback

“Everyday shelf prices — not leaflet deals — were what mattered, and we needed proof for MENY and SPAR specifically. Actowiz ran a real sample pilot, showed us actual coverage, then combined all five into one clean feed.”

— Co-Founder, Danish Grocery App

Frequently Asked Questions

Q: Can you capture regular everyday shelf prices, not just promos?

A: Yes — regular shelf prices are the priority and are captured distinctly from promotional prices.

Q: Which retailers are covered?

A: Lidl Denmark, Føtex, Netto, MENY, and SPAR.

Q: Is EAN/GTIN available?

A: Yes, where the retailer exposes it — captured for reliable product matching.

Q: Can all five be combined into one feed?

A: Yes — all five are normalized into a single API/feed.

Q: Why start with a pilot?

A: To verify actual coverage, accuracy, and price quality on real sample data before scaling to production.

Need verified grocery price coverage before you scale?

Actowiz Solutions runs real-sample coverage pilots and delivers normalized, maintained grocery price feeds. Visit actowizsolutions.com to discuss your data requirement.

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