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LactaAI™: Industrial Intelligence
for Dairy Processing

Turning dairy data into real-time intelligence that predicts outcomes, surfaces insights, and answers critical business questions.

AI-Powered Solutions for Dairy

Demand
Forecasting

Price
Optimization

Predictive
Maintenance

Retail
Analytics

Inventory
Planning

Realty
Indicators

Problem‍
A premier HVAC solutions provider in North America aimed to refine inventory planning and enhance sales predictions across more than 360 locations. The complexity was heightened by a diverse product range exceeding 6,600 SKUs, where stock-outs were leading to elevated warehousing and holding expenses.
‍
Solution‍
To address this challenge, a specialized forecasting solution was engineered, leveraging both machine learning and deep learning algorithms. These techniques were combined in an ensemble approach to achieve superior accuracy over traditional time-series forecasting methods, offering a strategic advantage in inventory management and sales forecasting.

95%

Accuracy

6,600

SKUs

360

Locations

‍Problem
‍A top-tier microelectronics component manufacturer aimed to refine SKU-level pricing strategies for trade sales. Their existing price prediction algorithm was plagued by bugs, leading to extended processing times. The goal was to suggest price points that enhance the chances of winning transactions, thereby maximizing revenue without sacrificing profit margins.

‍Solution
‍Findability Sciences deployed its machine learning technology to analyze historical data on revenue, quantities, price points, deal success rates, and forecasted demand. This enabled the recommendation of optimal price points for each SKU.

98%

Accuracy

24 to 1.5 Hrs

Reduced Time

MSE 0.4

.

Problem
‍A Japan-based multinational aimed to reduce employee churn and improve mentorship but struggled to identify root causes of voluntary attrition despite development investments.

‍Solution
‍Findability Sciences structured graphical IoT sensor data into CSV files, built ML models to predict breakdown timestamps, and used time series analysis to identify failure patterns and key influencing factors.
‍

90%

Accuracy

Cost Saving

Maximize

Operational

Efficiency Increased

A Top 5 retailer requires digital analytics for 4000 feature releases annually
‍
‍Their analysts would require 8 weeks to provide analytics on the impact created by a website feature release. These were manually computed, based on just a differential between impressions and conversions. The FS incrementality computation included seasonality, attribution, and statistical significance. Business users could gain instant insights through a conversational interface. Additionally, forecasts were generated with a 22% uplift compared to internal accuracies for all product conversions to detect anomalies after a release.

+22%

Accuracy

>90%

Stat Sig

4 Weeks

Time Saved

Problem
‍Traditional HVAC distributors struggle with fragmented systems, manual reconciliation, and reactive inventory planning. Poor data visibility leads to excess stock, frequent stockouts, and high fulfilment costs. Seasonal fluctuations and supply chain disruptions amplify inefficiencies, draining capital and reducing service levels across regions — making agility nearly impossible

Solution
‍Findability Sciences’ Inventory Agentic Workflow Engine (AWE) integrates real-time data from all enterprise systems to enable proactive, AI-driven inventory management. With Forecasting, Segmentation, and Planning Agents, enterprises gain SKU-level precision, simulate demand scenarios, and dynamically optimize replenishment, routing, and placement — transforming operations from reactive to predictive

$49M - 141M

Savings

+5%

Inventory Turns

20%

Lower Carrying Costs

Forecasting of 8 real estate parameters for 24 months with over 90% accuracy

‍The biggest challenge for a real estate asset management company in the US was forecasting market conditions for investment and divestiture decisions. By forecasting rent, occupancy, and value with over 90% accuracy for 24 months, the company was able to use the forecasts for making financial and investment decisions. Additionally, an economic downturn forecast was conducted to determine the probability of a recession in 6 months, 12 months, and 24 months with 94% accuracy.

>90%

Accuracy

1M+

Forecasts

Recession

Prediction

Smarter Dairy Operations‍

Dairy production is shaped by thousands of signals across yield, quality, energy, and throughput. LactaAI™ transforms this complexity into real-time intelligence, helping dairy processors move from reactive operations to predictive, optimized performance across milk, whey, evaporation, drying, and packaging.

There are two capabilities under LactaAI™:
Lacta Insight™ and Lacta BPC™

‍Lacta Insight™

It is a platform that transforms processing complexity into real-time intelligence, helping dairy processors move from reactive operations to predictive, optimized performance across milk, whey, evaporation, drying, and packaging. It is designed in two specialized variants to address different parts of the dairy processing value chain:

Lacta Insight Prime supports core dairy production fluid milk, cheese, yogurt, butter, and cultures

Lacta Insight Nexus is built for advanced whey processing—WPC, WPI, lactose, permeate, and MPC

Key Features / Outcomes

Applied AI for dairy processors seeking higher efficiency, stronger yield, and plant-wide visibility.

Process Intelligence

Tracks milk, whey, drying, packaging, and utilities in real time

Reveals drivers of yield, stability, and efficiency

Supports better decisions across production stages

AI-Powered Anomaly Detection

Detects drift, instability, and inefficiencies early

Alerts teams before issues impact output or quality

Enables faster diagnosis and corrective action

Operational Optimization

Recommends actions to improve recovery and throughput

Helps reduce energy use and product loss

Supports more stable, efficient operations

Unified Plant Visibility

Integrates data from plant and business systems

Creates one intelligence layer across operations

Enables holistic analysis and smarter decisions

The Value Case
0.5 – 1.5pp

Cheese Yield Improvement

Firmness-based cutting driven by real-timecoagulation kinetics. On a 100M lb plant,every 0.1pp is ~$1M
0.5 – 1.5pp

Protein Recovery In UF/MF

Closed-loop TMP and crossflow control.Fouling-triggered cleaning. Direct topline onWPC, WPI, MPC
5 – 10 %

Spray Dryer & Evap Energy

Mid-batch moisture prediction guides thedryer closer to the edge of spec withoutcrossing it.
10 – 20%

Lower CIP chemical & Water

Conductivity-triggered cycles with AI-tunedtiming replace calendar-based cleaning.
10 – 20%

Less Unplanned Downtime

Drift detection on separators, pasteurizers,fillers. Slow failures caught before they stopthe line.
50 – 70%

Lower Audit Prep Effort

Auto-generated HACCP, SQF, BRC records.Full batch genealogy from raw milk todispatch, on demand.

Lacta BPC™

It is the dairy-industry implementation of the Findability Business Process Co-pilot (BPC)  platform. It sits above the existing IT stack, reads across the systems a dairy company already runs, and answers business questions in natural language with sourced numbers and supporting analysis. It is not a new ERP. It is not a new BI tool. It is the layer that finally makes the existing stack feel responsive.

Key Features / Outcomes

Applied AI for dairy processors seeking higher efficiency, stronger yield, and plant-wide visibility.

Conversational Intelligence

Answers complex business and operational questions in plain language across functions

Understands intent, context, time range, and user permissions

Delivers direct, actionable responses without requiring manual data analysis

Cross-System Data Orchestration

Pulls and reconciles data across ERP, MES, LIMS, BI, and other systems

Identifies the right data sources and applies business logic automatically

Ensures every answer is fully traceable to underlying records and systems

AI-Powered Business Analysis

Computes trends, variances, comparisons, and drill-downs instantly

Surfaces root causes across operations, finance, supply, and quality

Enables faster, data-driven decisions across all levels of the organization

Unified Decision Layer

Creates a single, trusted intelligence layer across the enterprise

Supports all roles—from plant operators to C-suite leaders

Extends insights into action with auto-generated reports, messages, and presentations

The Value Case
60 - 80%

Analyst Hours Reclaimed

Ad-hoc MIS and report building shifts fromspreadsheet production to actual businesspartnering.
<1 min

Question To Answers

Standard queries across procurement,production, sales, and finance — no ticketto IT required.
2 – 5 Days

Faster Monthly Close

Draft MIS pack auto-generated fromsource systems. The team reviews ratherthan builds.
50 – 70%

Lower Audit prep Effort

LOWER AUDIT PREP EFFORTBatch genealogy, deviation summaries,and audit trails generated on demand.
Daily

Executive Decision Cadence

On-demand Q&A replaces the Mondaydeck that answers last Friday's question.
Always - On

Peer Benchmarking

Every plant director sees their metricsrelative to peer plants continuously not episodically.
How Lacta BPC Fits with Lacta Insight

Lacta Insight and Lacta BPC are complementary capabilities. They share the Findability Platform backbone, which means one data fabric, one governance model, one set of credentials, one roadmap. They differ in primary user, primary data, and primary value.

Others

Key Issues:

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AI-Powered Solutions for Dairy

Applied AI for dairy processors seeking higher efficiency, stronger yield, and plant-wide visibility.