Your goods in
Serial numbers off a box
Electronics arrive with long serials and codes that get mistyped. A phone camera reads them off the packaging, and the row lands in the database with nobody keying it.
Smart inventory AI MVP
Money sitting on a shelf. Money you could not sell.
Overstock and stockouts are the same mistake pointing in opposite directions, and both come from counting by hand and guessing at the rest. An MVP tests the forecasting on part of your catalogue.
- Runs on a phone camera
- Tested on one product line first
A deliveryPhotographed
Your salesAs they happen
One stock pictureCounted and current
Running outSelling faster than lead time
Not movingCapital sitting still
A draft orderWaiting for a signature
A line to clearMoney you can free
What a smart inventory AI MVP is
A smart inventory AI MVP is a working stock tool built narrow enough to trial on part of a catalogue. A vision model reads what arrives, so a delivery is counted in from a photograph rather than typed. Forecasting then runs against your own sales history, which is what makes a restock alert worth acting on rather than another dashboard nobody opens.
Counting by hand, buying on instinct
Stock decisions get made from numbers that were accurate at the last count and have drifted since. Between counts the buying happens on memory. The cost lands twice, in capital tied up in dead lines and in sales lost on the ones that moved.
- 01
The count is already out of date
A cycle count is accurate on the day it happens. Every day after that, the system and the shelf move further apart from each other.
- 02
Reordering runs on somebody's memory
Whoever knows which lines move is going on experience. That knowledge leaves the building at five o'clock.
- 03
Dead stock is invisible until it is counted
Capital sitting in slow lines does not announce itself. It surfaces at valuation, long after the money went.
Core features of an intelligent stock engine
- 01
Deliveries read by camera
A vision model pulls codes and quantities off the packaging. Somebody photographs the delivery, and the count goes in from there without anybody keying it.
- 02
Restocking that watches the rate
Forecasting runs on how fast a line actually sells against how long a supplier takes. The alert arrives with enough time to act on it.
- 03
Valuation as it moves
Holding costs and falling value get tracked while stock sits. Capital stuck in slow lines stops being a surprise.
How the first three weeks run
- Week 1
01We look at how stock moves now
Two days in the stockroom rather than in a meeting. Counting, receiving and reordering all get watched as they happen.
- End of week 2
02You get a costed plan
The plan names the lines to trial and the cost. You decide whether it goes ahead.
- From week 3
03It runs on one slice of the catalogue
The MVP goes live beside your existing system. Nothing is switched off yet.
A full ERP against an inventory MVP
One replaces how the business runs. The other answers whether the forecasting is worth having.
| Measure | A full ERP | An inventory MVP |
|---|---|---|
| What it changes | How the whole business operates | One product line, beside what you run |
| Getting stock in | Typed, or scanned with bought hardware | Photographed on a phone |
| Deciding a reorder | A reorder point somebody set once | A rate that is recalculated as it sells |
| What you commit | Licences and a rollout across the company | One catalogue slice you can stop |
| If it does not suit you | You are already migrated onto it | You switch it off and keep the finding |
Inventory automation in practice
Three jobs a stockroom already does badly by hand. Each is narrow enough to trial on its own.
Your reordering
A draft order before the gap
The engine watches selling rate against supplier lead time. When those cross it drafts the order.
Your valuation
What the slow lines are costing
Holding cost and falling value are tracked per line. The dashboard shows where capital is stuck while there is still time to move it.
How far an MVP goes
This is deliberately not a system replacement. It is the smallest thing that shows whether AI forecasting is worth having in your stockroom.
- It runs beside what you have
- Nothing is migrated and nothing is switched off.
- It starts on one slice
- One category or one supplier, chosen so the answer generalises.
- The backend carries forward
- The logic and the wrappers go into a full build.
What an inventory MVP is built from
Ordinary components in a small configuration. Nothing here is a requirement, and the work goes ahead against whatever your stock system was built on.
- Reading the shelf
- Vision modelsCodes and serials off a boxClaudeMatching a product to your catalogueFlutterThe phone app that does the scanning
- Working out what to buy
- PythonForecasting against your salesPostgreSQLStock levels and historyRedisAlerts and scheduling
- Where you look at it
- ReactThe dashboardn8nWhat happens when a line runs lowDockerSame everywhere it runs
What people sayNot our words.
Not our words.
Theirs.
Every quote here is a real Trustpilot review. We did choose which ones to show you. The score beside them is the part we do not control, and it counts all 29 reviews.
Trustpilot4.4out of 5Excellent29 reviews · checked 19 August 2026Read all of them
These reviews are for Appkodes, our software product division.
A Joysale client on the product and the service
He runs a marketplace built on Joysale, our Letgo style product. The clip is his own account of working with us.
A Fantacy client on the build
Fantacy is our Amazon style retail product. He goes through what was built and how the work ran.
An Airfinch client, filmed after his written review
Airfinch is our Airbnb style rentals product. He had already left the same review on GoodFirms before recording this.
A second Joysale client on the same product
Another marketplace running on Joysale. Worth watching beside the first, since the two bought the same thing.
Trustpilot
I've worked with Appkodes for 7 years on 4 different projects. We constantly require support or the implementation of new features, and we have the guarantee that the quality of their work remains the same throughout this time.
Juan VásquezSep 2025Trustpilot
Appkodes exceeded all of our expectations! From the very first contact, the team demonstrated a high level of professionalism, technical expertise, and commitment to quality.
Global SoftwinMay 2025Trustpilot
Appkodes team helped me to launch my healthcare application very quickly. Their software was very close to my requirements and adding some extra features made my project easy.
WassimApr 2025Trustpilot
I so much love your services and I will continue to patronize your company.
Kolawole Alaba JohnsonApr 2025Trustpilot
I worked with AppKodes for a website and mobile app development project, and overall, I'm very satisfied with the results. Their team was responsive and flexible throughout the process, and they delivered a product that met my expectations both in design and functionality.
Яша ФирузApr 2025Trustpilot
It was a good experience working with the team. They understood my ideas clearly and built everything as expected. The team was supportive, quick to respond, and helped me whenever I needed changes. Thank you for your hard work and support!
Prem SharmaApr 2025Trustpilot
I have got a mobile app project going on successfully with the team. Their Support is good. turn around time for any requirement is great. Every detail of my app is meticulously designed. THANK YOU APPKODES.
Fast Fiber NetworksApr 2025Trustpilot
Appkodes is a leader in developing high-quality applications and websites. It was a pleasure working with them, and this certainly won’t be our last collaboration. My experience was exceptional, they developed an outstanding app and website, with smooth and refined interactions.
BaderApr 2025Trustpilot
Overall very good experience. I have been availing services for past 3 years. They are available for discussions and resolving issues whenever we faced any. Mr. Saravana has been looking after our project and I'm very much happy with his timely response. I would definetely recommend.
Vannala RajuApr 2025Trustpilot
Initially, I was hesitant to deal with them, believing their customer service would be poor. However, I was surprised. They act with great responsibility and professional efficiency. My regards to them.
Ahmed NhariApr 2024Trustpilot
You have been supporting me very quickly in every matter, especially in the last 2 months, and this makes me very happy.
Deniz SeçerJan 2024Trustpilot
Very professional. Our project was quite complex and they covered all the aspects. Appkodes did an amazing and professional job developing and creating our Apple and Android apps. I was positively impressed with the communication you can absolutely trust on what they say.
Anu JosephJul 2023Trustpilot
Mani and Saravanan of the Appkodes team are amazing, they have done the best to create and support my project! I give them 10/10 stars for their efforts and work!
Joely CineasJul 2023Trustpilot
It was really great, they are there for me whenever I had a problem or to fix something. Thank you so much Ameer
GomezApr 2023Trustpilot
I've been working with Appkodes for almost a year and i can recommend them to work with as they are so much friendly and professional and you can clearly see it once you start your project right away. They are intact and they are transparent with their communication.
JohnFeb 2023Trustpilot
I have to be honest, sometimes it's hard to find a company or someone abroad to do your project. Not only might you waste your time and money, there is this thing called trust. In business you must trust the person you are dealing with.
Zack GizawDec 202216 of 29 reviews, plus 4 videos
Businesses we have built for
Frequently asked questions
Can it connect to our point of sale system?
The MVP reads sales from your POS through its API. That covers the common hosted tills and it covers something built for you years ago. Where there is no API we look at what it can export before proposing anything.
Do we need to buy scanning hardware?
Not for a trial. A phone camera and a vision model read codes off a box well enough to prove whether the approach works. Dedicated scanners are faster at volume, and that is a decision worth making after the MVP rather than before it.
How do we get from MVP to full system?
The forecasting logic and the API wrappers are written to production standard from the outset. You widen the catalogue and add features. The dashboard is the part most likely to be rebuilt, and it is the cheapest part to redo.
What is a retail inventory management prototype for?
It answers one question, which is whether forecasting on your own data beats the way you buy now. It is deliberately not a replacement system. It runs beside what you have. That is what makes the comparison honest.
Does AI stock prediction development work on a small catalogue?
It works better on a slow catalogue than people expect, because lead times matter more than volume. What it needs is history rather than scale. A year of sales on a few hundred lines is usually enough to test the idea.
Is a custom ERP MVP cheaper than buying a system?
For a trial, yes, because the scope is one slice rather than the whole company. That is the wrong comparison though. The MVP tells you whether the forecasting earns its keep, and then buying or building is a decision with evidence behind it.
Next stepLet AI do the repetitive
Let AI do the repetitive
half of the job.
Data entry, answering the same tickets, chasing numbers between systems. We automate the parts that repeat. Your team keeps the parts that need judgement.
