Fresh food margin does not collapse. It leaks, daily.
Run by software and specialists together. Six modules, each with an operations specialist behind it, connected by API to what you already run.
Built for Singapore fresh food operations
Live workflow / order to invoicerunning
01
Order arrives
WhatsApp, email, photo or phone note
02
System reads it
Lines matched to your price list
03
Exception flagged
Only what needs a human decision
04
Person signs off
Your team keeps the approval
05
Invoice issued
Stock and records updated
Nothing fails loudly. It leaks in daily exceptions across ordering, stock, delivery and collections, and by month end it shows as margin no one can explain.
Chat orders and manual re-typing turn into wrong quantities, wrong prices and credit notes.
Shows up as / credit notes, disputed invoices, rework hours
See the Billing SystemFresh stock has hours, not weeks. Buying by feel is paid for the same day.
Shows up as / shortfalls, write offs, extra trips, late drops
See the Forecast SystemLimits stretch, invoices age, and true margin per customer appears too late to act on.
Shows up as / overdue balances, thin margin, late reporting
See the Credit System01
Map one real week
Day 0 to 2
02
Connect the system
Day 3 to 21
03
Run on one number
Day 22 to 30
Step 01
One call, then we follow a single workflow on your own data.
Day 0 to 2
Step 02
A prebuilt system is configured to your rules and connected by API to your stack.
Day 3 to 21
What your team doesYour team gives us read access, one 30 minute rules call, and 15 minutes a day to confirm exceptions. Nothing else changes while the current process keeps running.
Step 03
A daily readout on the measure we agreed, with your supervisor in control.
Day 22 to 30
No system replacement. No long transformation. No decision about money made without a person approving it.
The system reads the incoming order, matches every line to your price list, reconciles delivery against invoice and predicts next day demand. Your workforce keeps judgement, approvals and customer relationships.
The system
Each layer is one workflow, one supervisor, one number. Start with the layer that costs you the most today and add the next once it has paid for itself.
Layer 01 / Order to invoice
For / Distributors, importers, wholesalers, central kitchens
Orders captured from any channel, matched to your catalogue, checked by a person on exceptions, confirmed before the truck leaves.
Moves / order accuracy, confirmation time, credit notes
See this on a demoLayer 02 / Stock, fleet and evidence
For / Cold chain operators, caterers, manufacturers, multi outlet groups
Buying, production, routing and delivery proof on one thread, so plan, load and signature always match.
Moves / fill rate, write off value, trips per drop
See this on a demoLayer 03 / Cash and performance
For / Owners, finance leads, operations directors
Credit exposure, collections, margin and waste calculated daily and delivered as one readout.
Moves / overdue balance, days to collect, margin per customer
See this on a demoOne workflow. One baseline. One accountable person behind it.
Each module is already built and running in production. You license the software, it connects to your stack by API, and an operations specialist configures the rules and stays accountable for the number it moves.
01
Billing System
Fewer credit notes, faster invoicing
02
Workforce System
Right people, right shift, records ready
03
Forecast System
Less shortfall, less write off
04
Fleet System
Tighter routes, cleaner proof
05
Credit System
Shorter payment cycles, controlled exposure
06
Reporting System
One number set everyone trusts
System 01 / Billing and invoicing
S1Captures orders from chat, email and calls, matches every line to your price list, issues the invoice.
Fewer credit notes, faster invoicing
System 02 / Workforce
S2Rosters, attendance, leave, permits and training records for a workforce that changes weekly.
Right people, right shift, records ready
System 03 / Supply and demand
S3Learns what each customer buys by day and sets the buy plan before the order arrives.
Less shortfall, less write off
System 04 / Fleet and delivery
S4Plans routes around drop windows and load, keeps proof of delivery attached to the invoice.
Tighter routes, cleaner proof
System 05 / Accounts and credit
S5Watches balances against limits, flags ageing early, keeps collection follow up moving.
Shorter payment cycles, controlled exposure
System 06 / Sales and reporting
S6Sales, margin, waste and delivery performance in one morning readout by customer, product and route.
One number set everyone trusts
Configuration to your operation is scoped on the demo call.
Book a demoField record / one client, egg distributor
Systems deployed across billing, workforce, forecasting, fleet, accounts and credit, and reporting. Over 12 months, self reported by the client and reconciled against their own records, recovered value came to about 12 percent of revenue.
Results reflect one client engagement. Your baseline is measured on your own data first.
1.5M
Eggs handled per month, one client
12%
Revenue leakage recovered in 12 months, one client, self reported
6
Systems deployed across that operation
30 days
To the first system running live
How the 12 percent is counted
Four leak categories, each valued from the client's own records against a baseline taken before deployment. Percentages are shares of annual revenue.
~4%
Pricing gaps and credit notes
Lines billed below the agreed price list, plus credit notes raised after dispute.
~3%
Unbilled or short billed deliveries
Delivered stock with no matching invoice line, found by matching delivery proof to invoices.
~3%
Waste and short supply
Stock written off or bought short, valued at cost against the buy plan.
~2%
Overdue credit written off
Balances past terms that had previously aged into write off.
Total
~12% of annual revenue recovered
Measured over 12 months, from the client's own billing, delivery and ledger records.
One client engagement, self reported and not independently audited. Your own baseline is measured on your data before anything is deployed.
In the first 15 minutes
You name one part of the operation. We tell you on the call whether a system pays for itself there.
In the first 2 weeks
Your baseline in numbers, taken from your own records.
In the first 30 days
One system live on one workflow, with a named supervisor and a daily readout.
If it does not work
We say so and we stop. You keep the baseline and the workflow map.
Licensed product modules, configured rather than coded from zero.
An operations specialist owns the result, not a ticket queue.
API integration with the tools and records you already pay for.
A named person on your team approves every money decision.
These are the lines we baseline first. You know the starting value before anything is built, and you watch it move while the system runs.
Order accuracy
%Baselined in week one
Rework hours per week
hBaselined in week one
Order to invoice time
minBaselined in week one
Fill rate
%Baselined in week one
Overdue balance
$Baselined in week one
Days to collect
dBaselined in week one
Waste value per batch
$Baselined in week one
Margin per customer
%Baselined in week one
01
15 minutes / Systems demo
We show the prebuilt systems on a real workflow and pick the first one to connect.
02
14 days / Baseline
Your starting numbers from real data, and what the system changes.
03
30 days / System live
One system running one workflow with your team supervising.
15 minutes
We show the prebuilt systems on a real workflow and pick the first one to connect.
14 days
Your starting numbers from real data, and what the system changes.
30 days
One system running one workflow with your team supervising.
If the numbers do not justify a system, we say so on the call. A clear no is faster and cheaper than a slow project.
No. The systems connect by API and run on top of what you already use.
15 minutes. You see the prebuilt systems on a real workflow, what they connect to, and the first number to move.
Who you meet
Arshad AhamedFounder, Arshadify AI SystemsWorks from Bengaluru, India with fresh food operations in Singapore and across Asia. Builds and runs operating systems for fresh food supply chains in Singapore: billing, workforce, forecasting, fleet, credit and reporting. Sits on the deployment himself for the first thirty days of every engagement.
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