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Data and AI for food & beverage

Connect production and supply chain data, put AI into production, and strengthen food safety compliance with results you can track.
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Traceability, safety, and margin that move in step.

"With Lumenalta®, it was really easy to find those engineers in the exact discipline we needed, and roll them on the project. We ended up liking one of the engineers so much, we kept them on full time."
Lindsey Andrews
Co-founder and Former CEO of Minibar Delivery
"With Lumenalta®, it was really easy to find those engineers in the exact discipline we needed, and roll them on the project. We ended up liking one of the engineers so much, we kept them on full time."
Lindsey Andrews
Co-founder and Former CEO of Minibar Delivery

Make every plant, store, and brand perform better

Food and beverage leaders have to move quickly while protecting margin, quality, and safety. Plant, supplier, and channel data often sits in separate systems, which slows forecasting, inventory decisions, and shelf availability. AI can help with all three, but only on a data foundation that is connected, trusted, and governed, with audit trails that hold up to inspection.
Our specialists work inside your operating rhythm and shoulder to shoulder with your teams. We deliver in short cycles, show financial impact early, and scale across plants, brands, and markets. One accountable team covers data pipelines, integration, security, and user experience, so you avoid handoffs and keep spending under control. We connect ERP, MES, WMS, POS, and e-commerce, so data flows from planning to production to sales.
We align executives on goals, guardrails, and measures from day one. Governance, auditability, and access control are built in, and we coach teams across plants, restaurants, and corporate functions so adoption sticks. The result is faster speed to market, lower cost, better decisions, and returns you can track for the business and investors.

Why choose Lumenalta for data and AI in food & beverage

Our specialist teams deliver in short cycles, work within your governance, and tie every release to food and beverage outcomes.
Manufacturing

Higher yield, safer output

Unify line and quality data to improve efficiency, reduce spoilage, and strengthen FSMA, HACCP, and SQF compliance.
Distribution & supply chain

Fresher products, lower cost

Give every cold chain shipment a live data trail that cuts temperature excursions and transport cost while raising service levels.
Retail & restaurants

Faster service, better margins

Connect ordering, kitchen, and fulfillment data to increase revenue per site and lower labor variance.
Consumer brands

Stronger promotions, higher ROI

Use machine learning on trade, assortment, and demand data to improve forecast accuracy, lift net revenue, and free up working capital.
Availability

Keep systems available

Keep plant, distribution, and store systems running with minimal downtime.
Reporting

Comply and report

Automate reporting pipelines with full traceability for regulators.
QA

Perform testing and quality assurance

Build testing into every release so systems stay reliable and data stays accurate.
AI & ML

Put AI and ML into production

Apply AI to fraud detection, customer service, and predictive analytics, with people accountable.
Let's talk

High-impact use cases in food & beverage

Start with a near-term win tied to one measurable outcome, then build toward scale across brands, plants, and channels. Each program carries executive metrics, compliance guardrails, and a clear path to enterprise scale.
Volume forecasting and S&OP accuracy
Volume forecasting and S&OP accuracy
Use machine learning to improve volume forecasts across brands, channels, and pack sizes. Programs like this can cut forecast error by 20 to 40% and raise service levels while lowering working capital. Sales and operations planning moves from spreadsheets to a governed, real-time system, with fewer out-of-stocks and less excess inventory for manufacturers, distributors, and grocers.
Self-service analytics
Trade promotion and assortment ROI
Optimize trade spend and assortment by store cluster, week, and channel. Connected sales and promotion data pinpoints underperforming tactics, improves the price-pack mix, and can increase net revenue by 3 to 7%. Category and shopper teams get clear guidance inside their daily tools, with less waste in trade budgets and higher shelf profitability.
Plant yield and OEE improvement
Plant yield and OEE improvement
Use machine, quality, and maintenance data to predict failures before they stop the line and to raise overall equipment effectiveness. Our teams target 15 to 30% less unplanned downtime and 10 to 20% less give-away and rework. Operators and supervisors get simple, role-based views during the shift, and plants ship more cases with the same labor and line time.
embedded finance
Quality, traceability, and recall readiness
Build an end-to-end lot trace across suppliers, production, and distribution that runs in minutes, with FSMA, HACCP, and SQF controls embedded and auditable. When an issue arises, the system isolates lots and locations quickly, cutting recall response from days to hours. Legal exposure, inventory loss, and brand risk all shrink.
Cold chain visibility and spoilage reduction
Cold chain visibility and spoilage reduction
Stream temperature and location data from plant to store and act before spoilage occurs. Programs like this target 40% fewer temperature excursions and 20 to 35% less spoilage across lanes. Alerts and workflows sit inside operations, so claims and chargebacks decline, and distributors and retailers see fresher products and fewer write-offs.
Menu, kitchen, and drive‑thru throughput analytics
Menu, kitchen, and drive‑thru throughput analytics
Connect order, kitchen, and staffing data to increase throughput and consistency across restaurants. Kitchen cycle time can drop by 10 to 20%, with lower labor variance and better on-time service. Managers get clear playbooks for staffing, prep, and inventory by daypart, so quick service brands serve more guests per hour with less waste.
Omnichannel order orchestration and fulfillment
Omnichannel order orchestration and fulfillment
Coordinate store, curbside, delivery, and direct-to-consumer orders as one flow on shared data. Fill rate can improve by 5 to 10% and split-shipment costs can fall by 10 to 15%. Customer service gets one view across POS, e-commerce, and logistics, so grocery and CPG brands run leaner with better service levels.
Sustainability and cost‑to‑serve analytics
Sustainability and cost‑to‑serve analytics
Track energy, water, waste, and transport in one governed view and link each to cost to serve by SKU and route. Simple fixes and ongoing monitoring can lower energy cost by 8 to 12%. Automated pipelines feed Scope 1 and Scope 2 reporting and board reviews, so plants, warehouses, and restaurants save money while meeting brand commitments.

How Lumenalta accelerates data and AI in food & beverage

Our specialists work shoulder to shoulder with leaders across manufacturers, co-packers, distributors, retailers, and restaurant brands. We set measurable targets, then deliver in short cycles against the numbers that matter, such as forecast error, OEE, spoilage, cost to serve, and margin. Every engagement runs on AtlusAI, our delivery operating system, with integration, security, and governance handled from day one so programs scale with clear ROI.
Shared delivery context
Business goals, architecture decisions, and live execution state, aligned in one place.
Specialist teams alongside yours
Specialist teams alongside yours
Experts coached in technical mastery and partnership, working shoulder to shoulder with you.
End-to-end delivery
End-to-end delivery
We own the program from strategy through production, with one accountable team.
Decision capture
Decisions, changes, and outcomes are documented continuously, which reduces knowledge loss and hand-off risk.
Interested in learning more about our food and beverage solutions?

Explore our services

End-to-end digital transformation delivered through a comprehensive suite of technical capabilities.
Move faster with less risk
Start with one problem, prove value, then scale across brands and plants.
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