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Digitalizing the Grain Supply Chain for Matahin with Odoo

Matahin: Odoo ERP for the Grain Chain | KoderXpert

Grain trading & flour manufacturing · Odoo ERP

Matahin: from raw grain to exported flour, on one connected ERP

the whole supply chain, milled into one system ✨

Matahin FZE manages the full grain chain: procurement, milling, packaging, domestic distribution and exports. It all ran on spreadsheets and paperwork. KoderXpert delivered a single Odoo platform tying procurement, manufacturing, inventory, export and finance together.

A flour mill with a spinning wheel, swaying wheat, a grain sack and an export document flow, representing the Odoo ERP built for Matahin
the mill never stops ✨
wow!0%batch & lot traceability, from raw grain to finished flour
0connected capabilities delivered on one Odoo ERP
Grain → Flourthe full chain covered, procurement to export
7system running what spreadsheets used to
Client
Matahin FZE
Industry
Grain trading & flour manufacturing
Platform
Odoo ERP: procurement to export
Implementation partner
KoderXpert Technologies
Headline result
Full-chain visibility & batch traceability

01 · Overview

The 30-second version

  • Matahin FZE is a leading grain trading and flour manufacturing company managing the full chain from procurement through milling, packaging, distribution and exports.
  • Procurement ran on spreadsheets, inventory was fragmented across locations, export paperwork was handled entirely by hand, and management had little to no dashboard support for decisions.
  • KoderXpert delivered one Odoo ERP tying it all together: vendor scorecards, yield and wastage tracking, batch and lot traceability, multi-warehouse inventory, automated export documentation and production cost accounting.

02 · Where the business was stuck

What was going wrong before Odoo?

Six ways the old process ground the business down

A business that moves physical grain across borders was running its information flow by hand, and every manual step added risk, delay and waste.

Manual procurement

Spreadsheet-based procurement with no centralized tracking across vendors or agreed terms.

The cost → vendor terms nobody enforced

Fragmented inventory

No real-time multi-warehouse inventory tracking across locations.

The cost → overstock here, shortages there

Manual export paperwork

Export documentation and compliance handled entirely by hand, shipment by shipment.

The cost → errors that stall shipments

Limited dashboards

Little to no dashboard support for management decision-making.

The cost → decisions a week too late

No production visibility

Yield, wastage and milling efficiency invisible until the numbers were added up manually.

The cost → waste found after the fact

Unclear costs & margins

Production cost and profitability analysis lived outside daily operations.

The cost → margins by guesswork
physical goods, paper trails? this is the classic setup…

03 · The turnaround

Drag it and see the before & after yourself

Slide the orange handle. Left is the spreadsheet-and-paperwork era, right is the connected supply chain.

✗ Before Odoo
  • ✗ Procurement tracked vendor-by-vendor in sheets
  • ✗ Stock levels unknown across warehouses
  • ✗ Export documents typed up by hand
  • ✗ Yield & wastage discovered after the fact
  • ✗ Margins calculated offline, occasionally

the paperwork era 😵

one connected chain ✨

✔ After Odoo ERP
  • ✔ Vendor scorecards & procurement history in one flow
  • ✔ Real-time stock across every warehouse
  • ✔ Export documentation generated by workflow
  • ✔ Wastage flagged early, on the floor
  • ✔ Margin by product line, built into daily ops

← drag toward the paperwork · drag toward the platform →

04 · The plan

What "fixed" had to actually mean

Five objectives agreed with Matahin, plus the one underneath them all: replace manual processes with one scalable platform. Hover any goal to tick it off.

One integrated ERP: procurement, manufacturing, inventory, sales, export and finance connected.

Production visibility: clear insight into yield, wastage and milling efficiency.

Vendor standards: standardized vendor management and quality tracking.

Export automation: automated export workflows and compliance documentation.

Executive dashboards: real-time reporting to support scaling decisions.

Traceability: every batch tracked end to end for quality and compliance.

05 · What we delivered

What did KoderXpert build?

Six capabilities, one connected ERP

KoderXpert delivered a single Odoo platform tying procurement, manufacturing, inventory, export and finance together, purpose-built for the grain-to-flour chain.

Block 01

Vendor performance scorecards

Standardized quality and procurement tracking across every supplier relationship, with procurement history tracked against agreed vendor terms.

negotiation leverage, built in
Block 02

Yield & wastage tracking

Full visibility into milling efficiency, from raw grain to finished flour, with wastage flagged early so it can be corrected on the floor.

waste caught while it is small
Block 03

Batch & lot traceability

End-to-end product tracking for every batch that moves through the facility, supporting quality recalls and regulatory compliance.

every batch answers for itself
Block 04

Multi-warehouse inventory

Real-time stock visibility across every warehouse location, reducing overstocking in some sites and shortages in others.

the right stock, the right place
Block 05

Export documentation workflow

Automated compliance handling for cross-border grain and flour trade, with fewer manual errors in documentation.

borders without bottlenecks
Block 06

Production cost accounting

Accurate margin and profitability analysis built into daily operations, with clear visibility into margins by product line.

margins you can steer by
grain inlot createdmilledmulti-warehouseexport file
one lot number survives the whole journey, silo to shipment ✨

06 · Functional deep dive

How the grain-to-flour chain runs in Odoo

The delivery summary says what was connected. This is the functional detail underneath: how vendors are scored, how a batch stays traceable through milling, and how an export file assembles itself.

Vendor scorecards & procurement flow

Procurement moved from per-vendor spreadsheets to one flow where every supplier's history argues for or against them.

  • Scorecard dimensions: delivery reliability, quality outcomes and price adherence tracked against agreed vendor terms on every receipt.
  • RFQ-to-PO discipline: requests, quotations and purchase orders live in one thread per vendor, so negotiation leverage is documented, not remembered.
  • Quality at intake: incoming grain checks record moisture and grade against the lot, feeding both the scorecard and downstream traceability.

Batch & lot traceability, end to end

Every batch that enters the facility carries an identity that survives milling, packing and export.

  • Lot creation at receipt: raw grain lots are created on intake with vendor, date and quality data attached.
  • Consumption mapping: production orders record exactly which raw lots fed which finished-flour batches, so a recall query answers in minutes.
  • Forward and backward trace: from a customer complaint back to the field lot, or from a suspect intake forward to every affected pack, in one report.

Yield, wastage & production costing

Milling efficiency stopped being a month-end estimate and became a per-run measurement.

  • Yield per run: input grain weight versus output flour and by-products recorded on every production order, flagging drift early.
  • Wastage thresholds: runs outside tolerance surface immediately, so corrections happen on the floor rather than in a quarterly review.
  • Cost roll-up: raw material, operation time and overhead roll into finished-product cost, giving true margin by product line inside daily operations.

Multi-warehouse stock & export documentation

The physical network (silos, warehouses, ports) is mirrored in the system, and the paperwork generates from the same records.

  • Location-level stock: real-time quantities per warehouse and silo, ending the overstock-here-shortage-there pattern.
  • Transfer discipline: inter-warehouse moves are documented transfers, so stock in transit is visible instead of vanishing between sites.
  • Workflow-generated export files: packing lists, certificates and compliance documents assemble from the sale, lot and shipment data already in the system, removing hand-typed errors that stall shipments.
vendorscoredbetter termshistory becomes leverage

Every receipt scores the supplier

Delivery reliability, quality outcomes and price adherence are recorded against agreed terms on every intake. Over months that history becomes negotiation leverage and an early-warning system for quality drift, all without a single extra spreadsheet.

07 · How we built it

How was the Odoo project delivered?

From discovery to go-live, harvest to loaf

Six stages, starting with an honest look at how grain, flour and paperwork actually moved, and ending with a platform the whole business runs on.

1

Discovery & business analysis walk the chain

KoderXpert mapped the real flow: vendors, intake, milling, warehouses, exports and the paperwork between them.

2

ERP design & customization design the flow

Odoo modules designed and customized around procurement, manufacturing, inventory, export and finance.

3

Data migration move the records

Vendor, product, stock and financial data cleaned and migrated into the new environment.

4

Integration & testing connect and prove

Modules integrated end to end and tested against real procurement-to-export scenarios.

5

User training train the floor

Hands-on training for procurement, production, warehouse and finance teams.

6

Go-live & support open the gates

Supported go-live, with the ERP absorbing the manual processes it replaced.

08 · Engineering notes

The technical decisions behind the chain

For the technically curious: how the work was engineered so it survives upgrades, audits and time.

Custom addons, zero core edits

Everything KoderXpert built lives in namespaced custom modules (kx_vendor_score · kx_mill_trace · kx_export_docs · kx_costing) on Python and the Odoo ORM.

  • Inheritance, not modification: models and views are extended through Odoo's inheritance mechanisms, never edited in core, so future Odoo upgrades do not bury the work.
  • Configuration as data: scorecard rules, lot policies, warehouse routes and export document templates ship as XML data records, reproducible and reviewable.
  • PostgreSQL underneath: one database as the single source of truth, so no exports or reconciliation jobs exist between the moving parts.

The data migration pipeline

The riskiest part of the project was the data: vendor books, stock registers and shipment files spread across spreadsheets. It moved through a staged pipeline, not a bulk import.

  • Extract & cleanse: legacy records exported, deduplicated and normalized in a staging environment before anything touched production.
  • Ordered loading: imports run in dependency order: vendors, products and quality specs, then warehouse quantities as opening lots, then open orders, via the ORM so lot rules apply from record one.
  • Verified before sign-off: record counts and key balances checked against the source system, with every opening figure posted as an auditable entry.

Reports, automation & performance

Dashboards and documents are native Odoo artifacts reading live data, so they inherit access rules and never go stale.

  • QWeb & OWL: printable documents render through QWeb templates; on-screen dashboards read aggregated, indexed queries that stay fast as volume grows.
  • Scheduled automation: scheduled jobs snapshot yield statistics, refresh warehouse dashboards and flag lots approaching quality or storage limits.
  • Filters built in: period, location and team filters are part of the report definitions, so answering a leadership question is one click, not a new spreadsheet.

Testing, cutover & hardening

The rollout landed on a live business, so it was engineered to be boring.

  • Staging mirror: every change proven on a copy of the real database before reaching production.
  • Role-based UAT: procurement, production, warehouse and export teams each walked scripted scenarios end to end, including a full intake-to-export cycle on real lot data, before go-live.
  • Access hardening: group permissions and record rules reviewed role by role, so each team sees exactly what its job requires.
  • Documented handover: configuration, roles and workflows documented so the system's logic belongs to the client, not to anyone's memory.
each runyield measuredtrue marginwastage caught on the floor

Yield measured per run, not per quarter

Every production order records input grain against output flour and by-products, flags runs outside tolerance immediately, and rolls material, time and overhead into finished-product cost, so margin by product line lives inside daily operations.

09 · The impact

What changed after go-live?

The results, in numbers

the part clients screenshot ↓
0%batch & lot traceability across the facility
0capabilities live on one connected platform
Livestock visibility across every warehouse
Dailymargin & cost visibility, by product line
  • Significant reduction in manual processes and spreadsheet dependency
  • Improved production yield and reduced wastage
  • Real-time visibility into procurement, manufacturing, inventory and sales
  • Better cost accounting and margin analysis
  • Improved vendor quality and negotiation leverage
  • An ERP platform ready for future expansion

10 · Under the hood

Technologies & core skills

Backend · Python 3, Odoo ORM (lot logic, scorecards, costing) Frontend · XML views, QWeb templates, OWL (JavaScript), HTML5, CSS3 Database · PostgreSQL (lot-indexed inventory, one source of truth) Manufacturing · BOM-driven production orders with lot consumption mapping Reports · yield & wastage analytics, trace reports, QWeb export documents Automation · Odoo cron for yield snapshots, dashboard refresh, lot alerts Data migration · staged vendor/stock/lot loads via ORM, balance-verified DevOps · Git version control · dev → staging → production · HTTPS behind reverse proxy Custom addons · kx_vendor_score · kx_mill_trace · kx_export_docs · kx_costing
Supply chain ERP Batch & lot traceability Vendor management Yield & cost accounting Multi-warehouse operations Export compliance workflows
straight from the project lead ✨
"A modern, scalable ERP foundation replacing manual, disconnected processes across the business: faster decisions through dashboards, better yields on the floor, and export paperwork that finally runs itself."
The engagement outcome, Matahin FZE

11 · Quick questions, honest answers

Thinking about a similar build?

Yes, that is exactly what Matahin runs: a purchase order, a production run, a warehouse transfer, an export file and a journal entry all belong to the same connected chain in one database.

Raw grain lots are created at intake with vendor and quality data, production orders map which lots fed which finished batches, and trace reports run forward or backward in minutes, supporting recalls and regulatory compliance.

Every receipt scores the supplier on delivery reliability, quality and price adherence against agreed terms. Over time that history becomes negotiation leverage and an early-warning system for quality drift.

Each production order records input grain weight versus output flour and by-products, so yield is measured per run, drift is flagged immediately, and waste is corrected on the floor instead of discovered at month-end.

Yes. Packing lists, certificates and compliance documents assemble from sale, lot and shipment data already in the system, so cross-border paperwork stops depending on hand-typed files.

Stock is tracked in real time per warehouse and silo, inter-site moves are documented transfers visible in transit, and reordering logic reads the whole network rather than one location.

Yes. Raw material, operation time and overhead roll into finished-product cost per batch, giving margin by product line inside daily operations rather than in a quarterly spreadsheet.

Directly. Any business that buys a commodity, transforms it and ships it across borders benefits from the same intake-to-export chain: scored vendors, traceable lots, measured yield and workflow-generated paperwork.

Yes, by design. All of KoderXpert's work for Matahin FZE lives in namespaced custom addons that extend Odoo through inheritance; the core is never edited, and configuration ships as data records, making the setup reproducible and upgrade-safe.

It is the riskiest part, which is why it runs as a staged pipeline: extract and cleanse in a staging environment, load in dependency order through the Odoo ORM so business rules still apply, then verify counts and balances against the source before sign-off.

It depends on scope, which is why delivery ran in structured phases from discovery to supported go-live. Mapping the real process first fixes the scope before any build starts, and phased rollout keeps the business running throughout.

KoderXpert is an Odoo partner that maps the real process before building, engineers upgrade-safe custom modules with zero core edits, and delivers measurable outcomes: for Matahin FZE, full-chain visibility with 100% batch traceability from raw grain to exported flour. Talk to KoderXpert about your project.

ready to separate the wheat from the chaos ✨

Ready to digitize your supply chain?

Tell us how goods and paperwork move through your business today. KoderXpert will show you what one connected chain, from procurement to export, looks like on Odoo.



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