Guaranteed profits

By exactly matching your stock with customer demand

The AI replenisher predicts up to 96% accurate the target SKU quantities per shopfloor until your next replenishment cycle. It automatically adjusts the inventory levels. Transforming your static inventory into dynamic based an actual demand
Replenishment method:
Store A
Worst performing store
Week
1
2
3
4
XS
S
M
L
2
2
2
2
3
3
3
3
3
3
3
3
2
2
2
2
Week
1
2
3
4
XS
S
M
L
2
2
1
1
3
2
2
1
3
2
1
1
2
1
1
1
Replenishment method:
Store B
Best performing store
Week
1
2
3
4
XS
S
M
L
2
2
2
2
3
3
3
3
3
3
3
3
2
2
2
2
Week
1
2
3
4
XS
S
M
L
2
2
3
4
3
4
4
5
3
2
4
4
2
2
2
3
Replenishment method:
Store A
Worst performing store
Week
1
2
3
4
XS
S
M
L
2
2
2
2
3
3
3
3
3
3
3
3
2
2
2
2
Week
1
2
3
4
XS
S
M
L
2
2
1
1
3
2
2
1
3
2
1
1
2
1
1
1

The results after one season
dynamic replenishment

Worst performing store

8 items reduced 70% sell through rate

Best performing store

+ 16 items added 70% sell through rate

Replenishment method:
Store B
Best performing store
Week
1
2
3
4
XS
S
M
L
2
2
2
2
3
3
3
3
3
3
3
3
2
2
2
2
Week
1
2
3
4
XS
S
M
L
2
2
3
4
3
4
4
5
3
2
4
4
2
2
2
3

OFM boosts forecasts accuracy by 29%

Transforming inventory management with WAIR’s AI Replenisher, leveraging accurate sales forecasts to strategically allocate stock

Traditional replenisher
Historical accuracy

66%

34%

Overstock

0%

Understock

Traditional replenisher
New accuracy

95%

5%

Overstock

0%

Understock

What differentiates us

World's leading forecasts

The times of isolated models, each trained on one client’s dataset are behind us. Large and diverse datasets increase accuracy and minimise bias. The future is in pooled industry data. As the world grows increasingly interconnected, so should our data analysis and processing approach. We believe that every retailer or brand joining WAIR benefits from this network effect.

The GPT-2.5 model is not only fueled by millions of parameters, it also has over 100 features. The key insights often come straight from the data you already have. Or the combination of external + internal data. We bring all this data together, including details like quantity, price and locations, weather, marketing and let the model do its magic, figuring out which pieces to use for the best outcome.

Excellent accuracy in forecasting doesn’t just stem from advanced algorithms; True magic happens at the crossroads of 100+ years of retail expertise and the power of Deep Learning. At WAIR, this intersection is where we operate.

+ Pooled approach
+ Parameters and features
+ Retail & AI experts
AI in your softwares superpowers your process

Change your software from
static to dynamic

Empower your replenishment with WAIR-2 groundbreaking model, predicting exact SKU requirements for specific shopfloors up to 14 days ahead. Our tailored forecasts minimize overstock to less than 5% with keeping the under stock on 0%

Based on these accurate forecasts, all min/max levels of every article are automatically adjusted, to match store demand with actual stock. It translates (on a daily basis), the forecasts to the required inventory levels in your current software.

Use the AI replenisher within your current replenishment software, without needing to change any process and implementation

+ Accurate forecasts up to 14 days
+ Dynamic stock level adjustments
+ Zero implementation
AI in your software superpowers your people

AI superpowers the
merchandisers

While our AI takes charge of the heavy lifting, you remain in the driver’s seat. Navigate a dedicated interface within your existing software, managing exceptions from stores to categories, and setting overarching business rules with ease. Or simply use our customer portal

The AI replenisher automatically adjusts the min/max levels for the entire replenishable collection. Embrace the power of optimizing the entire range, stop selectively focusing on just fast or slow movers

Make use of our customer portals. It will give you insights, configuration options or new growth opportunities.

+ Manual controls
+ 100% optimised collection
+ Customer portal
Where whe are going

Capabilities of the
AI replenisher

The AI Replenisher predicts the SKU sales at each shopfloor and automatically adjust stock levels in your software to match demand. Our deep learning model uncovers the unique patterns between your stores, products, seasonality, weather, holidays, events, and other variables to create SKU-shopfloor sales forecasts. Providing accurate forecasts for stock level optimization.

01

Forecast sales with
leading accuracy:

No more guesswork. Our AI foresees demand up to 14 days ahead, offering valuable insights into future sales trends.

02

Automated daily adjustments of
stock levels:

Forget the static mindset. Every single day, our AI tweaks the required stock level for each SKU at every shopfloor. And it does this right within your existing software, driven by those precise forecasts.

03

Intelligent allocation of limited stock:

In the traditional approach, stock scarcity is a crisis waiting to happen. But our AI handles it with finesse. Rather than spreading scarce items thinly and indiscriminately, it ensures that limited stock is strategically allocated to high-demand shopfloors. The goal? Maximized sales at full price.

04

Proactive stock management:

While traditional methods might leave you with stock shortages at hotspots and overstock in quieter locations, the AI Replenisher changes the game. It smartly holds back overstocking at less active locations, ensuring that valuable stock remains readily available in the warehouse.

05

ROI

Streamlined operations, reduced stock transfers, and optimized sales. You’re not just avoiding losses – you’re actively boosting profitability, all thanks to the intelligent insights and actions of the AI Replenisher

Business
impact

+ Increased Turn over

Higher Sell-Through Rate and Less Markdown

Our AI Replenisher significantly increases your sell-through rate by accurately predicting demand and adjusting inventory levels accordingly. You’ll sell more at full price, reducing your reliance on markdowns to clear inventory. This is especially achieved in handling scarcity better, to ensure it’s sent to the right shops. Increased Sell-Through Rate: By ensuring the

Higher Sell-Through Rate and Less Markdown

Our AI Replenisher significantly increases your sell-through rate by accurately predicting demand and adjusting inventory levels accordingly. You’ll sell more at full price, reducing your reliance on markdowns to clear inventory. This is especially achieved in handling scarcity better, to ensure it’s sent to the right shops. Increased Sell-Through Rate: By ensuring the

Higher Sell-Through Rate and Less Markdown

Our AI Replenisher significantly increases your sell-through rate by accurately predicting demand and adjusting inventory levels accordingly. You’ll sell more at full price, reducing your reliance on markdowns to clear inventory. This is especially achieved in handling scarcity better, to ensure it’s sent to the right shops. Increased Sell-Through Rate: By ensuring the

Higher Sell-Through Rate and Less Markdown

Our AI Replenisher significantly increases your sell-through rate by accurately predicting demand and adjusting inventory levels accordingly. You’ll sell more at full price, reducing your reliance on markdowns to clear inventory. This is especially achieved in handling scarcity better, to ensure it’s sent to the right shops. Increased Sell-Through Rate: By ensuring the

Higher Sell-Through Rate and Less Markdown

Our AI Replenisher significantly increases your sell-through rate by accurately predicting demand and adjusting inventory levels accordingly. You’ll sell more at full price, reducing your reliance on markdowns to clear inventory. This is especially achieved in handling scarcity better, to ensure it’s sent to the right shops. Increased Sell-Through Rate: By ensuring the

The core problems we solve

The Scarcity problem

Stockouts in retail, the nemesis of sales!
Despite demand, and still stock,sell through rates drop, causing significant losses. Depleted warehouses and unbalanced stores amplify this problem.

Enter the AI replenisher, adeptly mastering scarcity. It allocates items with finesse, ensuring they grace the right shopfloors for optimal sales. Retail redemption with a pure data-driven approach!

The Transfer problem

Costly “ship from store” due to imbalanced stock leads to time-consuming practices, necessitating store shipments to meet demand. Store staff strives but knows it hampers customer experience, less efficient than the warehouse.

The transfer problem ends with redistributing products, incurring costs, labor, and complexity, hurting retailers’ profitability. Minimizing redistribution boosts cash flow. The goal: reduce it for better outcomes.

The Human problem

Overwhelmed scaling your team? Let AI be your supermind. You need to focus on the big creative tasks while we handle billions of daily predictions and preserving your valuable business knowledge forever.

Bid farewell to guesswork.
Meet consumer demand accurately. Our rational AI ensures precise SKU-level matching every day. Embrace data-driven accuracy for superior inventory management, liberated from human biases.

Reasons of succes

Leading Time
Series AI model
architecture
100% automated
merchandising
Billions of extra
data via our
unified model
Zero cost
implementation
See the potential
value with a simulation
before actual implementation

Reasons of succes

Leading Time
Series AI model
architecture
100% automated
merchandising
Billions of extra
data via our
unified model
Zero cost
implementation
See the potential
value with a simulation
before actual implementation
• Schedule a Call

Business
impact

+ Improve full price sell-trough + Increased sales margin + Increased turnover + Increased customer experience
-Reduction in waste & carbon -Reduction in logistics costs -Reduction in human intervention -Reduction in waste & carbon -Reduction in logistics costs -Reduction in human intervention

When you do inventory well, all metrics will move into the right direction

In the ever-evolving landscape of retail business, even a 1% improvement in sell-through-rate can translate to a significant surge in profits, especially if achieved without compromising margins. Historically, achieving this necessitated time-intensive investments, redistribution efforts, or shipping directly from stores. Today, with our cutting-edge AI solutions, we anticipate and address these challenges proactively, driving efficiencies and substantially reducing costs before they even emerge.

Our cases

OFM boost forecast accuracy by 29,72%

OFM was using a traditional replenishment system to keep the initial distribution intact without adapting stock levels based on demand

Category: Men
Industry: Retail – fashion & accesoires

Landscape: 21 large service stores in NL
Edge case: big weather influences

Rightfully predicted SKU’s:
Traditional: 212.000
AI Replenisher: 307.000
Improvement: 96.000

If we add only +1% sell-through of the improved amount of SKU’s it will translate to a staggering : €93k/year margin

SEE FULL CASE
Traditional
Replenishment

65%

34%

Overstock

0%

Understock

WAIR's
Replenishment

95%

4%

Overstock

0%

Understock

SEE FULL CASE

Category: Men
Industry: Retail – fashion & accesoires

Landscape: 21 large service stores in NL
Edge case: big weather influences

Rightfully predicted SKU’s:
Traditional: 212.000
AI Replenisher: 307.000
Improvement: 96.000

If we add only +1% sell-through of the improved amount of SKU’s it will translate to a staggering : €93k/year margin

Daka reduced overstock by 47%

Daka’s traditional replenishment system caused stockouts in some stores, excessive inventory in others, leading to broken size arcs, lost revenue, and an unsatisfactory customer experience.

Categories: Men / women / kids
Industry: Retail – sports & lifestyle 

Landscape: 18 megastores in NL and BE  
Edge case: big seasonal influences

Rightfully predicted SKU’s:
Traditional: 313.000
AI Replenisher: 611.000
Improvement: 298.000

If we add only +1% sell-through of the improved amount of SKU’s it will translate to a staggering : €170k/year margin

SEE FULL CASE
Traditional
Replenishment

43%

51%

Overstock

0%

Understock

WAIR's
Replenishment

96%

4%

Overstock

0%

Understock

SEE FULL CASE

Categories: Men / women / kids
Industry: Retail – sports & lifestyle 

Landscape: 18 megastores in NL and BE  
Edge case: big seasonal influences

Rightfully predicted SKU’s:
Traditional: 313.000
AI Replenisher: 611.000
Improvement: 298.000

If we add only +1% sell-through of the improved amount of SKU’s it will translate to a staggering : €170k/year margin

The Revolution in Forecasting

WAIR offers a full virtual simulation of your real data. See the power of AI within your company now!

• Schedule a Call