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CogniverseAI

Solutions · Retail & commerce

Retail & commerce

From point-of-sale data to decisions on pricing, stock and channels

The problem

Sales, procurement and marketing decide from disconnected point-of-sale and ERP data.

Retail runs on volume: thousands of products, many outlets, daily decisions on pricing, replenishment and promotion. When point-of-sale and ERP data live apart, every one of those decisions is made from a partial view.

What we apply

The capabilities we bring together.

Each capability is a service line and a layer of the stack, combined for this problem.

  1. 01

    Point-of-sale and ERP integration

    SAP and point-of-sale data brought into one governed warehouse with reconciliation built in.

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  2. 02

    Sales, procurement and marketing dashboards

    A semantic layer and dashboards that give each function the same numbers.

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  3. 03

    AI-assisted decision support

    Agents that pull the evidence for a pricing, stock or channel question and prepare a recommendation.

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How we address it

Foundation first, then intelligence.

We start with the data: integration from the systems that run the stores, a dimensional warehouse designed around retail decisions, and dashboards validated with the teams that use them. AI decision support is added on top of that foundation, prototyped on real data first.

Decisions that improve

  • Pricing and promotion decisions from one view of sales and margin
  • Replenishment and procurement decisions with demand in view
  • Channel and marketing decisions tied to measured performance

Where we have done this

Delivered in the region, on real systems.

We deliver BI, data-warehouse and AI decision-support programmes for retail groups in the region.

Powered by the CogniverseAI stack

The technology behind it.

Cogni-Data for the foundation, Cogni-BI for a shared view of performance, Cogni-AI for prediction and recommendation, and CogniGraph to connect them to the decisions that follow.

Ready to turn enterprise intelligence into better decisions?

Let's identify where data, AI and orchestration can create measurable value in your organization.

  1. 01

    Send a message

    Tell us what you are trying to decide and what your data looks like today.

  2. 02

    A 60-minute conversation

    Where your decisions are made today, what they rest on, and where the gaps are.

  3. 03

    A written summary you keep

    What we heard, what we would look at first, and what an engagement could look like.