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Consumer Goods & Retail

Read Demand Earlier. Move Before the Market Does.

See demand, inventory, pricing and promotions as one commercial picture. React to market shifts earlier, protect availability and margin, and put working capital where it creates the most value.

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Up to

65 %

fewer lost sales / unavailability

20 %

lower inventory levels

Up to

9 %

gross margin

Use Cases & Decision Workflows

Make Decisions that Protect Liquidity and Drive Growth

Demand Forecasting and Planning

  • Forecast by SKU, channel, store and horizon
  • Model promotions, seasonality and launches
  • Align demand with availability and margin targets

Catch demand shifts before they turn into empty shelves or excess stock. Combine actual sales with promotions, seasonality, launches, markdown cycles and product phase-outs to create one shared demand view across Merchandising, Supply Chain and Finance. Detect changing patterns early, compare scenarios and commit to the right balance of availability, inventory and margin. Everyone works from the same plan, so commercial ambition stays aligned with what the supply network can deliver.

+10-12%

Forecast accuracy

Up to

65%

Less lost sales / unavailability

Inventory Optimization

  • Set stock targets by SKU, store and channel
  • Balance availability against working capital
  • Test safety stock and reorder policies

Put working capital where it can still create sales. Model demand variability, lead times, replenishment rules and service targets by SKU, store, warehouse or channel, then segment inventory by velocity and margin contribution. You can test safety stock, reorder points and MOQs before changing policy, with the impact on cash, availability and margin visible upfront. This gives you the confidence to cut slow-moving buffers while protecting the stock that genuinely drives service and profitability.

20%

Better inventory levels

+25%

Service levels

Replenishment

  • Replenish from sell-through and weeks of cover
  • Prioritise stock where demand is strongest
  • Use transfers before accepting markdown risk

Keep the right product moving to the right location while demand is still active. Model replenishment by SKU and store using sell-through, weeks of cover, lead times, capacity and product lifecycle, then compare new orders, inter-store transfers and stock consolidation before releasing the plan. AI catches local demand shifts early and redirects stock toward higher-velocity locations. The result is stronger availability, less manual rework and lower end-of-season exposure.

25%

Fewer stock shortages

Up to

+9%

Gross margin

Dynamic Price & Markdown Optimization

  • Model elasticity, stock and lifecycle together
  • Compare price and markdown timing scenarios
  • Protect margin while clearing inventory

Stop waiting for excess stock to force the markdown decision. Model price elasticity, sell-through targets, inventory position and timing constraints to compare different markdown paths before margin is lost. AI estimates demand response and residual-stock risk, while your team sees the trade-off between clearance speed, revenue recovery and margin protection. Business rules such as minimum margins and discount ladders stay visible, so every price move is deliberate and commercially grounded.

+4-8%

Markdown margin rate

2-4pp

Less inventory & markdown exposure

Trade Promotion & Pricing Effectiveness

  • Measure true promotion lift and cannibalisation
  • Connect trade spend to revenue and margin
  • Compare mechanics, depth and customer segments

Measure the real economics behind every promotion and price move. Connect campaign mechanics to true lift, cannibalisation, elasticity and margin across products, stores and channels, then compare where the same spend creates the strongest incremental return. AI surfaces response patterns early, while Commercial teams decide which promotion to run, where and at what depth. This helps stop funding volume that simply shifts demand and keeps trade spend focused on profitable growth.

+4-8%

Sales from optimized promotions

+2-3pp

Net income / EBIT

Customer Segmentation & Lifetime Value

  • Segment shoppers by value and behaviour
  • Turn segments into pricing, service and retention actions
  • Prioritise actions by expected lifetime value

Turn customer data into differentiated commercial treatment. Combine transactions, channel behaviour, engagement, frequency and customer economics to identify high-value and high-potential segments, then connect each group to pricing, service, retention and offer decisions. AI detects emerging behavioural patterns as they develop. Measure whether each treatment improves revenue, loyalty and lifetime value, keeping segmentation tied to measurable customer economics.

+10-15%

Revenue from personalization

+10-30%

Marketing-spend efficiency

Basket Analysis and Cross-Sell/Upsell

  • Identify product affinities and mission-based baskets
  • Surface bundles and next-best offers
  • Optimise placement, offer and timing

Make every basket tell you what the customer may want next. Analyse product affinities, purchase sequences and buying patterns to uncover bundles, cross-sell opportunities and the best timing for recommendations. AI finds relationships hidden across large transaction volumes, while commercial teams test offers, merchandising combinations and promotional logic against real uplift. Basket analysis becomes a repeatable revenue engine built around measurable incremental spend.

+10-15%

Incremental revenue

+5%

Average basket size

Cost-To-Serve & Returns Impact Modelling

  • Connect fulfillment and returns to net margin
  • Compare cost-to-serve by customer and channel
  • Test service changes before rollout

See the true margin behind every order, channel and service promise. Combine fulfilment, delivery, returns, handling and channel costs with revenue to expose where cost-to-serve is quietly eroding profitability. You can simulate changes to delivery options, return policies or service levels and see the effect on customer experience and margin before rollout. This gives leaders a clear basis for deciding which services create loyalty and which ones consume more value than they return.

+10%

Sales from stock optimization

Up to

15%

Inventory costs savings

Trade Promotion Management

  • Prevent conflicting promotions across customers and channels
  • Coordinate spend, volume and customer commitments
  • Route approvals with financial guardrails

Bring promotion planning out of spreadsheets and into one controlled commercial flow. Connect customer calendars, volumes, funding, forecast lift, margin assumptions and supply constraints before commitments are approved. AI flags inconsistent assumptions and likely performance gaps early, while Finance and Commercial keep guardrails, owners and expected returns explicit. Every promotion starts with a business case and ends with a measurable outcome.

+4-8%

Sales from optimized promotions

+2-3pp

Net income / EBIT

Revenue Growth Management

  • Optimise price, mix, promotion and assortment together
  • Connect commercial levers to net revenue and margin
  • Compare scenarios across customers and channels
  • Reallocate investment to stronger growth levers

Manage price, promotion, assortment and mix as one growth system. Connect the commercial levers that shape net revenue and margin, then compare scenarios by customer, channel and category before reallocating investment. AI reveals how those levers interact and where combinations are most likely to create profitable growth. See the P&L effect of each choice upfront and focus on value creation across the full portfolio.

+3-5%

Revenue

+2-4pp

Profit improvement

customer CASES

Intelligent Decisions,
Built to Deliver

Read All Customer Cases

Hyphen turns content production into smarter commercial decisions

Content production was already streamlined, but cost, performance and commercial impact still lived in separate views, making it difficult to know where each production investment created value.

What Natzka implemented

Natzka brings production costs, product priorities and sales performance into one decision context, helping teams prioritise content, reuse existing assets and direct investment where it can perform best.

Read Customer Case
$ 3 M

estimated production cost savings per 1M images produced

10-20 %

estimated increase in digital sales performance per client

Turn component lifing into a decision made before race day

Thousands of high-value components move across cars, sessions and races. Manual lifecycle tracking made preparation slower and made it harder to know exactly when each part should be replaced.

What Natzka implemented

Natzka combines component history, mileage and race data in a live decision model, anticipating replacement needs, preparing logistics earlier and automating post-race lifing analysis.Lifting Proactive Monitoring

Read Customer Case
80 %

faster race logistics preparation time

80 %

faster post-race reporting time

Keep customer commitments on track as constraints change

Sales, inventory and production decisions spanned multiple operating companies, making shortages and capacity constraints harder to see before they affected delivery.

What Natzka implemented

Natzka brings demand, stock, production and purchasing into one decision flow, surfacing constraints earlier and helping teams prioritise the actions that protect delivery and working capital.

Read Customer Case
60 %

less time required for operational analysis

16 %

savings in emergency purchases, expedites and production interventions

Integrations

Works Perfectly with Your Existing Stack

Build on the architecture you already have. Natzka connects enterprise systems, data platforms and cloud services into a shared decision context, reducing integration friction while preserving existing investments and control.

See Why Enterprises Choose Natzka

FAQs

Frequently
Asked Questions

Yes. Natzka allows for industry-specific model tuning, ensuring AI insights align with your business needs and deliver tangible results.

No. Unlike traditional platforms, it eliminates SQL, JOINs, and indexes, making it easy for teams to organize and access data without technical barriers.

Yes, as long as data can be exported, the platform seamlessly integrates with ERP systems as well as other tools, ensuring consistency and efficiency across all processes.

Implementation timelines depend on project complexity, but our focus is to simplify the implementation logic and speed up the average time required by other tools on the market. Timing is critical and Natzka is designed for smooth and efficient integration, minimizing disruption. For more precise information you can contact us.

It consolidates tools into one seamless system, simplifies workflows, and provides predictive insights, enabling businesses like yours to scale smarter and act with confidence in an ever-changing environment. Do more with less, by reducing redundancies and cutting costs.

By providing a clear and unified view of the business, Natzka enables faster, data-backed decisions. It translates complex data into actionable insights, aligning with your strategic priorities.

Ready to Change How Decisions Get Made?

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47 %

faster execution

33 %

higher forecast accuracy