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Leg 03 · The edgeDiscovery, Analytics & Intelligent Ordering
We measure the truth of your business. Then we rebuild ordering on that truth and automate it. Built by someone who has done the ordering himself for decades, and could also build the engine.
Trusted data first. Then answers. Then automation.
Most retail analytics fails for one reason: it decorates numbers nobody verified. We work in the opposite order.
One trusted dataset
We mirror your store’s own till and ledger data into one dataset and test every stock claim against actual movement behaviour. Presence is proven by sales or counts, never by the number on the screen.
Answers with reasons
Stock health, capital working versus capital dead, true rates of sale, your community’s buying rhythm. Every verdict carries its own reason in plain language. A number you cannot interrogate is a number you cannot trust.
Ordering, automated
Orders generated from demonstrated demand, shaped by payday and season, fitted to your budget, with every line able to explain itself. The discipline is public in the 8-Step Ordering Recipe.
The dark store story
A dark store is retail with no forgiveness. The customer orders against the ledger’s claim. If the ledger says three and the shelf holds none, the failure is measured inside the hour, on somebody’s phone, with a refund attached.
PG van der Westhuizen ran the Checkers Sixty60 dark store pilot in Cape Town, the first of its kind for the model, opened on Bree Street in the CBD. No walk-in customers. A full store existing purely to fulfil app orders. The model was scaled nationally after the pilot.
His attested record there: the highest-turnover Sixty60 store on the continent at the time, north of 1,000 deliveries picked per day, about 98% fulfilled and delivered within the hour, in arguably the fastest grocery delivery service on the planet. Shoprite’s own published group figures, 94% on time and 96.8% picked as placed, sit below the pilot’s record. The group supplied the model and the systems. The margin above the fleet average is the measure of what his management added: three decades of floor operations plus an analytics discipline applied hour by hour.
Every method in that discipline now works for independent stores, through SocialBrand.
The demo dashboard
A fictional store, fully generated data, the real thinking. Watch a sales pulse breathe with payday, see phantom stock surfaced with its story, watch an order explain itself line by line. Real clients see their own stores.
Open the live demoWhat we never publish
Formulas, thresholds, configuration values and client data. The thinking is public in the Method Library. The mechanics are the moat, and your data stays yours: the platform runs on your own store’s data, for your eyes.
Business automation services
Practical automation for the front office, built and run for you.
AI reception
An AI receptionist answering calls and messages after hours, taking orders and bookings your store would otherwise miss.
Website voice agents
A voice agent on your website answering the questions customers actually ask: hours, stock, specials, directions.
Collections support
Automated, polite and persistent follow-up on outstanding accounts, run under the client operations discipline of co-founder Lizeka Mgodeli.
Find out what your numbers are hiding
The Store Health Audit tests your data against your own tills. Findings in rand, two to three weeks, fixed fee.