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Digital transformation in food & beverage

Launch production-ready tools faster, lower cost to serve, strengthen food safety compliance, and prove ROI in weeks.
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Results you can measure, faster time to value, and lower risk.

"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 are tasked with moving quickly while maintaining margin, quality, and safety. You need new digital products on the market quickly, systems that scale without unexpected costs, and a data foundation that improves forecast accuracy, inventory turns, and shelf availability. You also need airtight compliance across industry standards, with audit trails that withstand scrutiny.
Our product teams work inside your operating rhythm. We ship working software every week, show financial impact fast, and scale across plants, brands, and markets. Full‑stack developers and engineers cover data pipelines, integration, security, and user experiences, so you avoid handoffs and keep spending under control. We integrate ERP, MES, WMS, POS, and e‑commerce, so data flows from planning to production to sales.
We align executives on clear goals, guardrails, and measures from day one. We establish governance, auditability, and access control, then coach roles across plants, restaurants, and corporate teams to ensure adoption sticks. The result is faster speed to market, lower cost, better decisions, and measurable returns for the business and investors.

Why choose Lumenalta for food & beverage digital transformation

Our cross-functional squads ship weekly, integrate with your governance, and focus on measurable results for food and beverage.
Manufacturing

Higher yield, safer output

Improve line efficiency, reduce spoilage, and strengthen compliance with FSMA, HACCP, and SQF while protecting margin.
Distribution & supply chain

Fresher products, lower cost

Enhance cold chain visibility, cut temperature excursions, and reduce transport costs while raising service levels.
Retail & restaurants

Faster service, better margins

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

Stronger promotions, higher ROI

Optimize trade spend, assortment planning, and forecast accuracy to lift net revenue and reduce working capital.
Availability

Provide continuous availability

Ensure systems are always operational with minimal downtime.
Reporting

Comply and report

Create robust reporting tools to meet regulatory requirements.
QA

Perform testing and quality assurance

Implement rigorous testing protocols to ensure system reliability and data accuracy.
AI & ML

Implement AI and machine learning (ML)

Leverage these technologies for fraud detection, customer service, and predictive analytics.
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Solve high‑impact use cases in food & beverage

Start with a single measurable outcome. Prove the financial upside in weeks, then scale across brands, plants, and channels. Each program is designed with executive metrics, compliance guardrails, and a path to enterprise-scale growth.
Volume forecasting and S&OP accuracy
Improve volume forecasts across brands, channels, and pack sizes. The program will cut forecast error by 20–40% and raise service levels while lowering working capital. Sales and operations planning will transition from a spreadsheet-based process to a governed, real-time system. Manufacturers, distributors, and grocers will see fewer out‑of‑stocks and less excess inventory.
Self-service analytics
Trade promotion and assortment ROI
Optimize trade spend and assortment by store cluster, week, and channel. The solution will pinpoint underperforming tactics, improve the price-pack mix, and increase net revenue by 3–7%. Category and shopper teams will see clear guidance inside their daily tools. The result is lower waste in trade budgets and higher shelf profitability.
Agentic AI
Plant yield and OEE improvement
Raise yield and overall equipment effectiveness using machine, quality, and maintenance data. Our teams will cut unplanned downtime by 15–30% and lower give‑away and rework by 10–20%. Operators and supervisors receive simple, role-based views that guide their actions during the shift. Plants will ship more cases with the same labor and line time.
embedded finance
Quality, traceability, and recall readiness
Build an end‑to‑end lot trace in minutes across suppliers, production, and distribution. FSMA, HACCP, and SQF controls are embedded and auditable. When an issue arises, the system isolates lots and locations quickly, reducing recall response time from days to hours. Legal exposure and inventory loss will shrink, and brand risk will drop.
Cold chain visibility and spoilage reduction
Monitor temperature and location from plant to store, and act before spoilage occurs. The program will reduce temperature excursions by 40% and cut spoilage by 20–35% across lanes. Claims and chargebacks will decline, with alerts and workflows built into operations. Distributors and retailers will see fresher products and fewer write‑offs.
Menu, kitchen, and drive‑thru throughput analytics
Increase order throughput and consistency across restaurants. Kitchen cycle time will decrease by 10–20%, labor variance will decrease, and on-time service will increase. Managers get clear playbooks for staffing, prep, and inventory by daypart. Quick service brands will serve more guests per hour with lower waste.
Omnichannel order orchestration and fulfillment
Coordinate store, curbside, delivery, and direct-to-consumer orders as one flow. The fill rate will improve by 5–10%, and split-shipment costs will decrease by 10–15%. Customer service gets a single view across POS, e‑commerce, and logistics. Grocery and CPG brands will operate leaner with improved service levels.
Sustainability and cost‑to‑serve analytics
Track energy, water, waste, and transport in one view and link each to cost‑to‑serve by SKU and route. Energy cost will fall 8–12% with simple fixes and ongoing monitoring. Scorecards will support Scope 1 and Scope 2 reporting, as well as board-level reviews. Plants, warehouses, and restaurants will see savings that also support brand commitments.

How Lumenalta accelerates digital transformation in food & beverage

We pair cross-functional product teams with your leaders across manufacturers, co-packers, distributors, retailers, and restaurant brands, set measurable targets, and deliver working software every week. We start with the numbers that matter, such as forecast error, OEE, spoilage, cost to serve, and margin, and align each release to those metrics. Integration, security, and governance are handled from day one, so programs scale with lower cost and clear ROI.
Domain mastery
With an average 12 years of experience, our senior engineers operate at the intersection of skill and value to drive outcomes your business cares about.
Sun graphic representing modernizing outdated processes, applications, and systems
Modernize
Digitizing dated processes, modernizing legacy systems, or rebuilding the broken and nonfunctional.
Graphic to represent re-engineering existing products, software, and systems
Accelerate
Propel discrete priorities and work streams forward faster than the standard pace of business will commonly allow.
Deep focus
Your project gets full developer mindshare, ensuring undivided attention and innovation without distractions from other clients.

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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