Demand-driven intelligence for FMCG and packaging that closes the gap between forecast and shelf
We connect commercial, supply, and packaging data into a unified platform for demand forecasting, trade promotion analytics, and supply chain analytics - so your teams stop chasing numbers and start managing the business with confidence. FMCG digital transformation built on Microsoft Fabric.
SKU-Level Forecasting
Not category averages
Sell-in & Sell-out
Unified commercial view
Trusted by operations teams at
FMCG and packaging operators across India, the GCC, Singapore, the UK and North America run demand, trade and line reporting we built — from dairy and beverage brands to folding-carton and corrugated packaging suppliers.
50+
Clients
150+
Projects delivered
14+
Years in industrial data
6 weeks
To first working output
Who this is for
Built for the people who run the brand and the line
FMCG and packaging analytics only earns its keep when it answers the question the person in the role is actually asking. Here is what we build for each one — and the number it moves.
Operations Director
The problem
Forecasts miss and the shelf pays for it — cash tied up in overstock on some SKUs while others go out of stock in the same week. You are firefighting availability instead of running the operation.
What we build
A demand forecasting model on Microsoft Fabric that reads POS sell-out, promotional calendars and seasonality — SKU-level signals your replenishment can act on, not a category average from last month’s spreadsheet.
Typical: 20–40% stockout reduction (Hollandia Dairy)
Supply Chain / Demand Planning Head
The problem
Every planning cycle starts from a spreadsheet that already disagrees with itself. Forecast accuracy is a number nobody trusts, so safety stock creeps up to cover the doubt.
What we build
Forecast accuracy measured honestly by SKU and channel, fed from SAP ByDesign and sell-out data into one governed model on OneLake — so the plan improves each cycle instead of resetting.
Typical: +15–25% forecast accuracy
Production / Plant Manager
The problem
Line changeovers, giveaway and downtime sit in the MES; the commercial targets sit somewhere else. You find out a run underperformed when the shift is already over.
What we build
Line and OEE dashboards off your MES feeds — changeover, waste and throughput by line, shift and SKU, refreshed through Azure Data Factory so the number is current, not reconstructed the next morning.
Typical: Korpack — up to 90% faster report refresh
Quality Manager
The problem
Short shelf-life stock and spoilage quietly write off margin. By the time the waste report lands, the batch is gone and the root cause is guesswork.
What we build
Spoilage and shelf-life analytics tying batch, storage and ageing data together, with automated alerts before stock expires — so waste is prevented, not counted after the fact.
Typical: 10–30% spoilage reduction (Hollandia Dairy)
CFO / Financial Controller
The problem
Trade spend and promotions are approved on gut feel and reviewed half a year later. You cannot see which promotions, channels or SKUs actually earned their margin until the budget is long spent.
What we build
One governed Microsoft Fabric model over SAP and MES that ties promotions, sell-out and cost back to margin — trade ROI and unit economics refreshed daily, so finance stops rebuilding the picture by hand each month.
Typical: 40–60% fewer ad-hoc report requests
The Problem
Where FMCG and packaging operations lose margin
The challenges are consistent across categories and regions. The data exists - it is just fragmented, lagged, and too slow to drive decisions at the pace the market moves.
Demand forecasts that miss by wide margins
Static spreadsheet-based forecasts cannot keep pace with promotional calendars, seasonal shifts, and channel mix changes. The result: overstock on some SKUs, stockouts on others - simultaneously.
SKU proliferation creating invisible complexity
Hundreds of SKUs across channels, regions, and formats - tracked in different systems with different naming conventions. Nobody has a clean view of which SKUs are driving margin and which are destroying it.
Trade spend with no visibility on return
Promotions, listing fees, and co-op spend are approved by gut feel and reviewed six months later. By then, the budget is committed and the underperforming promotions have already run.
Packaging line data disconnected from commercial outcomes
Changeover times, waste rates, and line efficiency sit in production systems. Commercial teams set targets with no visibility into the packaging constraints that affect cost and availability.
How We Help
What an FMCG & packaging engagement delivers
We follow the same disciplined sequence on every engagement - Foundation first, then Intelligence, then Automation. Each layer compounds the value of the one beneath it.
Unified Commercial & Operations Platform
We connect ERP (SAP, Oracle, NetSuite, Dynamics, Sage), retailer EDI feeds, distributor sales-in data, and packaging line systems into one governed data platform. Demand, supply, and production in a single model - with agreed definitions across commercial and operations.
AI-Powered Demand Forecasting
Machine learning models that account for promotions, seasonality, channel mix, and external signals - producing SKU-level forecasts that your S&OP teams can actually trust and act on.
Trade Analytics & ROI Tracking
Every promotion, every listing fee, every volume discount tracked against actual sell-out performance. Know which trade investments deliver and which to kill - before the next planning cycle.
Supply & Replenishment Automation
Replenishment orders triggered automatically when inventory breaches reorder thresholds. Alerts to commercial teams when a stockout is 72 hours away. Promotional build calculations done by the system, not a spreadsheet.
Live Demo
What a unified FMCG & packaging report actually looks like
Three report pages — demand and sales performance, packaging line performance, and inventory, margin and compliance — across the domains an FMCG operations leader runs: service and fill rate, forecast accuracy, packaging-line OEE, wastage and giveaway, trade spend and shelf-life. Change the site, category, line or period and the variance visuals, smart narrative and predictive alerts recompute. Built on Microsoft Fabric, Power BI and Azure Data Factory.
Figures are illustrative sample data. Book a 30-minute diagnostic to see this run on your own ERP, WMS and line data — no slides, no pitch deck.
Your shelves are speaking. Your planners are still looking at last week's numbers.
Explore role-specific analytics - what Supply Chain Directors, Trade Marketing Managers, Plant Managers, Finance Directors and CEOs need from your commercial and operational data. See exactly what MDI builds for each stakeholder, with real proof from Hollandia Dairy.
Outcomes
What FMCG and packaging businesses achieve
Ranges from real client engagements. Your specific outcome depends on the baseline and which layer we address first.
20–40%
Reduction in stockouts
through AI demand forecasting and replenishment automation
5–15%
Sales uplift
from improved promotional targeting and trade ROI analysis
30%
Reduction in forecast error
versus spreadsheet-based statistical forecasting methods
Track Record
FMCG & packaging organisations we have worked with
Hollandia Dairy
Dairy / FMCG
Johnson & Johnson
Healthcare / FMCG
Poppi Drinks
Beverage / FMCG
Tetra Pak
Packaging
Korpack
Packaging
ADM
Agri-commodities / FMCG
Client names shown with permission. Some engagements kept confidential on request.
Why MyData Insights
Why FMCG and packaging operators choose us
FMCG & packaging-first, not a generalist
We work in FMCG and packaging operations — dairy, beverage, food, folding carton and corrugated. Sell-out, trade spend, shelf-life, changeover and OEE are our default vocabulary, not terms we pick up on your time.
Microsoft Fabric specialists
We build the commercial and operations data layer on Microsoft Fabric, OneLake and Power BI, with Direct Lake for live models — one governed foundation, not another disconnected dashboard bolted onto the last one.
Industrial data engineering
ERP extraction from SAP ByDesign, SAP S/4HANA, Oracle and Dynamics, retailer EDI and distributor sell-in, MES and packaging-line feeds — connected through Azure Data Factory into one modelled lakehouse.
An AI-ready foundation
Demand forecasting and spoilage prediction only work when the data underneath is live and trustworthy. We fix the foundation first, then the models have something real to run on.
First working output in 6 weeks
You get a working forecast or SKU dashboard in the first six weeks — Discover, Prototype, Deploy — with the production platform following around 8 weeks, not a 50-slide roadmap.
Directly accountable
The person who scopes the work builds it. No hand-off to a junior team, no sales-engineering pyramid — Amit stays accountable through delivery.
FAQ
Questions FMCG and packaging teams ask us
The practical questions that come up before we start — on demand forecasting, spoilage, your existing ERP and how quickly you see something working.
How does demand forecasting analytics reduce stockouts for FMCG companies?
We build demand forecasting models that combine POS sell-out data, historical sales, seasonal patterns, and promotional calendars into a single signal. MDI clients have achieved 20–40% stockout reduction by replacing spreadsheet forecasts with ML-driven models connected to their ERP replenishment workflows.
Can you integrate with our ERP - SAP ByDesign, Oracle, NetSuite, or other systems?
Yes. We integrate with SAP ByDesign, SAP S/4HANA, Oracle, NetSuite, Microsoft Dynamics, Sage, Acumatica, and other cloud ERPs. SAP ByDesign is among the most common we encounter in GCC FMCG - but our Microsoft Fabric connectors work across all major ERP platforms. We build the analytics layer the ERP itself cannot provide: multi-entity consolidation, cross-country sell-through analysis, and real-time margin tracking.
What analytics capabilities do FMCG companies typically need first?
The highest-ROI starting points are: (1) sell-in vs sell-out visibility by SKU and channel, (2) demand forecast accuracy measurement, and (3) spoilage and waste tracking. These three capabilities typically take 6–8 weeks to stand up and deliver immediate commercial visibility.
Do you work with packaging manufacturers as well as FMCG brand owners?
Yes. For packaging manufacturers, we focus on production scheduling analytics, material yield tracking, order-to-ship visibility, and customer OTD performance. For FMCG brand owners, we focus on sell-out analytics, forecast accuracy, and trade promotion ROI.
Free assessment
Free FMCG & Packaging Intelligence Assessment
A focused review of where your commercial and supply data stands today and what we would build first. 30 minutes, no slides, no obligation to proceed — you leave with a concrete first step whether or not we work together.
What you get
- A review of your current demand forecasting and sell-out reporting — and where the numbers actually come from
- A KPI maturity check across demand, supply, spoilage and trade spend
- Specific dashboard and data-model recommendations for your SKU and channel estate
- A read on your SAP ByDesign, ERP and MES integration readiness
- A Microsoft Fabric roadmap scoped to first working output in 6 weeks
Start with a free FMCG data diagnostic
30 minutes. We map your current data landscape, pinpoint where forecast accuracy and supply visibility are breaking down, and tell you exactly what to fix first.