Connect store data, your feed and advertising results. See what needs attention, assign the task and move into action.
No account needed: compare product data and see how to prepare it for a campaign.
Prepare one product for advertising: expand a shortened title using catalogue data, check consistency and connect it to a campaign. The first review gives the team usable data and specific checks for the future.
Compare catalogue data with the store offer: name, colour, size, price and availability. Prepare a fuller title from that information instead of adding attributes that the source does not contain.
Review the prepared feed and the campaign where the product should appear. Good content does not replace correct availability or matching prices. The team assesses data alongside its advertising context.
If a process detects a rejected product, lost visibility or a URL problem, open a task with evidence. Decide whether data, the page or ad delivery needs attention and assign the next step to the right person.
In a store, a problem rarely ends with one team. A catalogue change reaches a campaign, results return to the specialist, and the owner needs to know who is handling the issue and what happens next.
Start with project results, material alerts and decisions that need your attention. Instead of requesting separate summaries from several people, move from the report into a campaign or task. See which problem the team is solving, who owns the next step and what has already been done.
Work output: a shared view of the situation and priorities with clear owners.
Work with campaign, ad, product and budget data. The task keeps the object, period and evidence together, so every new issue does not require reconstructing the context. Prepare a decision yourself or with the copilot; delegate a supported action to AI within the available permissions.
Work output: a specific change or investigation whose result can be assessed.
Inspect the product named in the task: title, attributes, price, availability or destination page. Correct feed data, generate materials from a brief or give the store team a precise repair scope. The task history lets the marketer return to checking delivery after the change.
Work output: an improved offer and a clear handover for the next stage.
Each example starts with a specific event and ends with something you can verify. Choose a situation that resembles work you currently coordinate across the catalogue, campaigns and team.
Explore product data, how it feeds into a campaign and the results that inform your next decision. Preview every stage without an account.
Spend, purchases, availability and data quality give an observation context. Analyse a specific product and period rather than drawing conclusions from a single number.
Enrich feeds, create campaigns and monitor visibility. A process can detect a rejected product or broken landing page and create a task for the team.
Choose something you currently check manually. Connect its data source, set a threshold and assign an owner. The first result shows what to do next.
Price or performance comparisons lose meaning when sizes, product versions or promotion periods get mixed together. Shared catalogue and campaign context helps establish what you are comparing and which source is missing.
Before deciding on delivery, check the period, conversion delay and the product’s business role. A crossed threshold is a reason to assess the situation, not automatic proof that every unit of spend was wasted.
Different people may own the feed, campaign and page. A task identifies the object, evidence and expected next step. Data repairs can then stay visible across the store team and agency.
You do not need to adopt everything at once. Choose a pair of tools that completes your most common workflow and try it on one product or campaign.
Organise attributes with rules and use product groups in the campaign structure. The link to the offer helps identify whether a correction belongs in the catalogue, its presentation or a specific ad.
Generate ads, images, clips, page copy and product descriptions from one brief. Review consistency with the offer and record feedback in the task so the next version has a clear purpose.
Move from the project summary to a campaign or product, then into a task. A report connects results with commentary and next work, helping a team meeting end with a specific decision.
Match the condition to the problem, the owner to the action and the channel to the urgency. Prices, visibility, feeds, destinations and budgets need different checks, but can lead into the same organised way of working.
Product and project counts, together with IT requirements, shape the choice. A large catalogue alone does not mean you need isolated infrastructure.
Start with one project and a process that addresses a real need. Once you have checked the workflow, choose the catalogue capacity and additional projects in pricing. This path suits a team that wants to use the platform without deploying its own infrastructure.
Choose this model when access, operations or infrastructure need a tailored arrangement. Sembot can run in an environment that meets the requirements, including access through a VPN. You use your own API accounts with LLM and video providers.
The Skupszop.pl story describes fourfold revenue growth over 16 months; Coś dla Zdrowia reports 44% revenue growth in six months. Explore the campaign work and context behind these results in the stories published in 2024. These are historical engagement results, not a guarantee for your store or evidence of the current AI model’s impact.
Better data helps prepare the offer for advertising, but does not guarantee sales. Results also depend on price, demand, campaigns and the store. Verify changes against subsequent results over an appropriate period.
If product data is the problem, start with one product and its feed. If active campaigns lack regular checks, choose a process with a clear condition. The first step should match real work you currently do manually.
Yes. Work is organised around a project, task and responsible person. Agree on access and responsibilities between the store and agency. Portfolio management adds another perspective when you have multiple projects.
Compare the title and attributes in the feed preview.
Choose a real product, check its source data and define the intended correction.
Review the result with the campaign owner and choose a process to keep checking quality.
Choose a process, connect its source and review the first result. Find package and add-on details in pricing.
