Data quality for retailers

Leverage Data Ladder’s retail solutions to break down data silos, enhance the shopper experience, ensure faster deliveries, and uncover profitable customer segments.

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How bad data affects retailers?

80%

Retailers are uncertain about their product data accuracy

80 percent of retailers are not confident in their product data and 86% of consumers are unlikely to buy products from a brand after experiencing inaccurate product information.
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High return rates

Inconsistencies and errors in product attributes can mislead shoppers into purchasing the wrong items, resulting in high return rates.

Lack of customer personalization

Incomplete or inconsistent data can limit the ability to personalize campaigns for new purchases, cart abandonment, and more.

Late shipping orders

Missing street names, apartment numbers, or unverified addresses can result in missed or delayed orders, leading to increased customer complaints.

Poor campaign response

Low email sender reputation and deliverability, as well as missed direct mail deliveries, can result from inaccurate or outdated email and phone data.

Inefficient inventory planning

Silos in point-of-sale and inventory data can lead to large volumes of slow-moving stock or out-of-stock situations.

Missed sales opportunities

No single customer view restricts segmentation and hinders the identification of high-value revenue opportunities.

Data Ladder solutions for retail

For Retailers: DataMatch Enterprise delivers data cleansing, matching, and address verification to achieve a single customer view and faster, more accurate fulfillment.

For Manufacturers: Insight provides daily SKU-level intelligence across 24K+ U.S. retail locations—track pricing, inventory, and assortment across Pro and DIY channels.

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Customer Stories

See what retailers are saying...

With DataMatch™, we were able to really increase the number of people we communicated with this year.

Accounts Payable Manager, Arlington Power Equipment

The main benefit of DataMatch Enterprise™ was the fuzzy logic and synthetic matching. It was just something I couldn’t reproduce myself.

Marty YantziePC Support & Systems Development Manager, Buckle Denim Retailer
Marty Yantzie

Kingfisher was able to populate their online store and give their customers more accurate search results with standardized product attributes, subsequentially increasing their online sales dramatically.

Kingfisher

Business Benefits

What’s in it for you?

Enrich customer experience

Optimize the customer in-store and e-commerce experience with improved listings, clear categories, and the elimination of duplicates.

Ensure faster deliveries

Standardize addresses using the prebuilt USPS database and pinpoint delivery coordinates with ZIP+4 values for faster, more accurate shipping.

Spot Inventory Gaps

Identify stockouts and distribution gaps across Pro and DIY channels with daily SKU-level visibility at the store level.

Track pricing in real time

Monitor SKU-level pricing across 24K+ U.S. retail locations. Spot competitor moves and market shifts the moment they happen.

Optimize your assortment

Pinpoint SKU and attribute gaps across retail channels to capture more sales and make data-driven assortment decisions.

Gain a single customer view

Break down data silos to track customer information across multiple touchpoints, enabling omni-channel marketing, segmentation, and retention.

Why Data Ladder
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Want to know more?

Check out DME resources

Merging Data from Multiple Sources – Challenges and Solutions

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