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Bigger bets. Thinner read.

Solutions for retail teams: the assortment, the site, and their own label. Each one settled against modelled shoppers before the order goes in.

Schedule a Demo

Discover what you can do ↓

Bigger bets. Thinner read.

Solutions for retail teams: the assortment, the site, and their own label. Each one settled against modelled shoppers before the order goes in.

Schedule a Demo

Discover what you can do ↓

Bigger bets. Thinner read.

Solutions for retail teams: the assortment, the site, and their own label. Each one settled against modelled shoppers before the order goes in.

Schedule a Demo

Discover what you can do ↓

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THE PROBLEM

Last year stopped predicting.

Costs were known when you committed. The shopper decided in your store. Margin came from selling brands. The calendar repeated.

None of those four things is reliably true now.

Costs were known when you committed. The shopper decided in your store. Margin came from selling brands. The calendar repeated.

None of those four things is reliably true now.

Costs were known when you committed. The shopper decided in your store. Margin came from selling brands. The calendar repeated.

None of those four things is reliably true now.

You commit before the cost is known. Purchase volumes are committed 12 to 18 months out, while tariffs, freight and currency land afterwards. The annual cost of wrong stock is put at $1.7 trillion, or 6.2% of global retail sales.
The choice is made before the customer arrives. 62% of shoppers use AI to compare products before they buy, but only 23% at checkout.
The profit moved off the products. Advertising and membership now account for close to a third of operating income at the largest retailers, and private label runs 28–31% of sales at the majors, at roughly twice the margin.

So the two decisions that carry the most margin — the assortment and the own label — are the two made earliest, on the thinnest information.

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ALGOVERDE SOLUTIONS

Where Retail teams usually start.

MERCHANDISING

How many brands to carry, and which ones? And what are the hot upcoming products?

The assortment at brand level rather than SKU level — which brands to carry and how deep, against modelled shoppers rather than the same week last year, before the order goes in.

E-COMMERCE OFFERING

How do we increase click-to-cart?

How to showcase multiple brands on a page — what the store says about itself, and what actually moves a multi-brand page from browse to cart. Tested where the comparison now happens, not where it used to.

PRIVATE-LABEL CONCEPT TESTING

Does your own-label product earn its shelf?

Green-light or kill, before the shelf is committed. Your own label is tested as a typical CPG problem: concept, pack, claim and price together.

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PROOF

Three years on the own-brand problem.

AlgoVerde worked with a global household-care portfolio for the past 24 years, green-lighting, reworking and killing concepts before the shelf was committed.

On e-commerce, concepts refined on the model and built into a live site lifted human add-to-cart by 60%.

+60% add-to-cart on tested concepts

3 years on own-brand concept decisions

+60% add-to-cart on tested concepts

3 years on own-brand concept decisions

Start with the order you’re about to place.

Bring next season’s assortment. We’ll run it against the shopper rather than against last year, and tell you what to carry, how deep, and what to cut.

Get started with AlgoVerde

Find Out More

FAQs.

Want to know more? Check out our FAQ section for everything you need to know about working with AlgoVerde.

Which industries use AlgoVerde?

The source material highlights Consumer Packaged Goods, Automotive, Retail, Media & Entertainment and Insurance, with additional use across food and beverage, apparel, technology, healthcare and education.

Does AlgoVerde use a different platform for each industry?

No. The foundation is the same living AI model of the market. Industry-specific solutions adapt the workflows, customer questions and outputs to the category and decision being made.

Can AlgoVerde support CPG product innovation?

Yes. CPG use cases in the source include concept generation and testing, product ideation, message testing, brand health assessment, willingness to pay and placement.

Can AlgoVerde support automotive product planning?

Yes. Automotive use cases include customer definition, segmentation, concept development, feature prioritization, positioning, brand validation and market entry readiness.

What if my industry is not listed?

The source explicitly states that the foundation is not industry-specific. Custom solutions can be built when a category or business question does not fit a pre-built industry workflow.